Skip to contents

Changelog

Source: NEWS.md

ggExametrika 1.0.0.9000

ratedBiclustering Support

  • Add support for ratedBiclustering class from exametrika v1.11.0 (Biclustering with dataType = "rated").
    • Update class validation in 11 plot functions across 5 files: plotFRP_gg, plotTRP_gg, plotLCD_gg, plotLRD_gg, plotCMP_gg, plotRMP_gg (IRPtoCMPRMP.R), plotFCRP_gg (PolyBiclustering.R), plotArray_gg (arraytoLDPSR.R), plotScoreField_gg (ScoreField.R), plotCRV_gg, plotRRV_gg (Biclustering.R).
    • Update roxygen2 @param data and @details documentation to mention ratedBiclustering.
  • Add fixture_ratedBiclust test fixture in helper-setup.R.
  • Add 10 test cases for ratedBiclustering in test-PolyBiclustering-plots.R covering plotFCRP_gg, plotScoreField_gg, plotFRP_gg, plotTRP_gg, plotRRV_gg, plotCRV_gg, plotArray_gg, plotRMP_gg, plotLRD_gg.

ggExametrika 1.0.0

First CRAN Release

  • Initial CRAN submission. All features from v0.0.1–v0.0.39 are included.
  • 31 exported visualization functions covering IRT, GRM, LCA, LRA, Biclustering (binary/ordinal/nominal), BNM, LDLRA, LDB, and BINET models.
  • All plot functions return ggplot2 objects for easy customization.
  • Common plot options (title, colors, linetype, show_legend, legend_position) across all functions.
  • Replace non-ASCII multiplication sign (x) with ASCII ‘x’ in comments and documentation for CRAN compliance.
  • Replace all \dontrun{} with \donttest{} in examples per CRAN review.
  • Make LDB/BINET examples self-contained with proper conf/edges setup.

ggExametrika 0.0.39

DAG Visualization

  • Add BINET (Bicluster Network Model) DAG support to plotGraph_gg(). This completes the DAG visualization series (BNM → LDLRA → LDB → BINET).
  • BINET renders an integrated graph with two node types: Class nodes (blue squares, shape=22) and Field nodes (green diamonds, shape=23) as intermediates between connected classes.
  • Add .binet_expand_graph() helper to transform BINET’s class-only graph (all_g) into an expanded graph with Field intermediate nodes for TDE-style visualization.
  • Extend .dag_build_plot() with optional node_size_map and label_size_map parameters for variable node/label sizes by type (backward-compatible: NULL defaults preserve existing behavior).
  • Fix .dag_node_colors() to support multiple node types with custom colors (positional or named vectors).
  • Update .dag_build_plot() show.legend from hardcoded FALSE to parameter-driven, enabling proper legend display for BINET’s multi-type nodes.
  • Add node_size_val and label_size_val to globalVariables in zzz.R.
  • Add comprehensive BINET test cases (7 tests) in test-DAG-plots.R: basic output, title/colors/legend/direction common options, dual node types, and node size differentiation.

ggExametrika 0.0.38

DAG Visualization

  • Add LDB (Local Dependence Biclustering) DAG support to plotGraph_gg(). Field nodes are rendered as green diamonds (shape=23), distinct from Item nodes (purple circles, shape=21). Structure mirrors LDLRA: one plot per rank with isolated node removal.
  • Extend .dag_build_plot() to support multiple node types via scale_shape_manual() + scale_fill_manual(), preparing for BINET’s mixed-type graphs.
  • Add LDB test fixture to helper-setup.R using exametrika::LDB() with J35S515.
  • Add comprehensive LDB test cases (7 tests) in test-DAG-plots.R: basic output, title/colors/legend/direction common options, node appearance, and diamond shape verification.
  • Add develop/check_ldb_visual.R for visual comparison of BNM/LDLRA/LDB rendering.
  • Fix @param colors roxygen documentation: update “future models (LDB/BINET)” to reflect LDB as implemented.
  • Simplify LDB rank count: use data$Nrank directly instead of .first_non_null(data$Nrank, data$Nclass) fallback (LDB always provides Nrank).
  • Remove duplicate .first_non_null() definition from plotGraph_gg.R (already defined in palette.R).

ggExametrika 0.0.37

DAG Visualization

  • Refactor plotGraph_gg(): extract internal helper functions (.dag_node_number(), .dag_scale_factors(), .dag_item_color(), .dag_compute_layout(), .dag_build_plot()) to eliminate code duplication between BNM and LDLRA implementations.
  • Add LDLRA test fixture to tests/testthat/helper-setup.R using J12S5000 with a simple 3-rank DAG.
  • Add comprehensive LDLRA test cases to tests/testthat/test-DAG-plots.R: basic output, title/colors/legend/direction common options, and node appearance parameters.
  • Fix node clipping in .dag_build_plot(): add dynamic scale_x/y_continuous(expand = expansion(mult = ...)) so nodes are never cut off at plot edges. Padding is proportional to node size (clamped between 0.20 and 0.45).

Bug Fixes

  • Fix plotTRP_gg() to support nominalBiclustering and ordinalBiclustering model types. Previously these models were rejected with “Invalid input” error due to class validation using exact all(class(data) %in% ...) matching. Replaced with data$msg-based xlabel determination, consistent with plotFRP_gg() and other functions.
  • Update plotTRP_gg() roxygen2 documentation to list all supported model types including nominalBiclustering, ordinalBiclustering, and LDLRA.
  • Add tests for plotTRP_gg() with ordinalBiclustering and nominalBiclustering fixtures.

Dependencies

  • Raise minimum R version from R (>= 3.5.0) to R (>= 4.1.0). The native pipe operator (|>) and lambda syntax (\(x)) are used in some dependencies. R >= 4.1.0 is the minimum version that supports these features.
  • Remove oldrel-1 (R 4.4.x) from GitHub Actions CI matrix. The ggrepel package now requires R >= 4.5.0 on CRAN, causing dependency resolution failures on older R versions. CI now tests release and devel only.

ggExametrika 0.0.35

Documentation

  • Update exametrika dependency version references from v1.9.0 to v1.10.0 across CLAUDE.md (13 occurrences), R source TODO comments (6 files), and regenerated man pages. This reflects exametrika’s version renumbering: the previously planned v1.9.0 release will now be published as v1.10.0.
  • Move visNetwork/plotGraph_interactive from v1.0.0 scope to v1.1.0+. The v1.0.0 release will focus on completing DAG visualization (LDB, BINET) with ggraph static plots only.
  • Update v1.0.0 release timeline from “February 2026” to “Spring 2026, after exametrika v1.10.0 CRAN publication”.
  • Add “v1.1.0 and beyond” section to CLAUDE.md roadmap for visNetwork interactive DAG editing feature.

ggExametrika 0.0.34

Documentation

  • Update CLAUDE.md to reflect v0.0.34 state: fix version (v0.0.33 to v0.0.34), update dependencies (gridExtra moved from Depends to Imports), add CRAN preparation status section, update CRANチェックリスト with completed items, update R CMD check result to 0/0/0.
  • Further CLAUDE.md refinement: add complete Export function inventory (31 functions with breakdown), add branch status, add R source file count, add v1.0.0 release roadmap section, reorganize completed vs remaining features for clarity, clean up redundant TODO sections where all items are completed.

CRAN Submission Preparation

  • Fix typo in DESCRIPTION: “pacakge” to “package”.
  • Change Title to Title Case with quoted software names: “Visualization of ‘exametrika’ Output Using ‘ggplot2’”.
  • Rewrite Description field to follow CRAN conventions: starts with verb, no markdown links, includes ISBN reference for Shojima (2022).
  • Remove non-standard Reference field from DESCRIPTION. Reference information is now included in the Description field.
  • Move gridExtra from Depends to Imports (CRAN recommends minimizing Depends).
  • Add R (>= 3.5.0) to Depends for minimum R version requirement.
  • Fix .Rbuildignore pattern for CLAUDE.md to be case-insensitive (^[Cc][Ll][Aa][Uu][Dd][Ee]\.md$).
  • Add ^cran-comments\.md$ to .Rbuildignore.
  • Create cran-comments.md for initial CRAN submission.
  • Update LICENSE year from 2023 to 2023-2026.
  • Add R-CMD-check and MIT license badges to README.md.

ggExametrika 0.0.33

R CMD check Fixes

  • Add LICENSE file (YEAR/COPYRIGHT HOLDER format) for CRAN compliance. DESCRIPTION specifies License: MIT + file LICENSE, which requires a LICENSE file (not just LICENSE.md).
  • Wrap J35S500 examples in \dontrun{} to avoid R CMD check failures when exametrika < 1.9.0 is installed. J35S500 dataset is only available in exametrika >= 1.9.0 (not yet on CRAN). Affected functions: plotFCBR_gg(), plotFCRP_gg(), plotScoreField_gg(), plotFRP_gg(), plotCRV_gg(), plotRRV_gg(). TODO: revert after exametrika v1.9.0 is released on CRAN.
  • Remove LazyData: true from DESCRIPTION (package has no data directory).
  • Remove VignetteBuilder: knitr and knitr/rmarkdown from Suggests (no vignettes after migration to pkgdown articles).
  • Comprehensive NSE (Non-Standard Evaluation) global variable declarations in R/zzz.R via utils::globalVariables(). Covers all ggplot2 aes() and tidyr NSE variables across all plot functions (30+ variables). Previously only value was declared.
  • Add @importFrom for missing function imports: stats::ave, stats::median, stats::setNames, utils::tail, ggplot2::geom_segment, ggplot2::sec_axis, ggplot2::scale_fill_gradientn, ggplot2::scale_x_reverse, tidyr::all_of. Resolves all “no visible global function definition” NOTEs.
  • Add github::kosugitti/exametrika to R-CMD-check.yaml and test-coverage.yaml extra-packages. CRAN version (v1.8.1) lacks v1.9.0 datasets; examples with @examplesIf + \dontrun{} do not correctly suppress execution due to withAutoprint interaction.

CI / Infrastructure Fixes

  • Fix _pkgdown.yml: use '"articles/name"' syntax for article references in contents. pkgdown evaluates contents entries as R expressions, so bare plot-gallery was parsed as plot - gallery (subtraction). Additionally, pkgdown prefixes article names with articles/ for files in vignettes/articles/.
  • Move getting-started.Rmd and getting-started-ja.Rmd from vignettes/ to vignettes/articles/ as pkgdown-only articles. Remove vignette YAML metadata (\VignetteIndexEntry, \VignetteEngine, \VignetteEncoding) and output: rmarkdown::html_vignette. This resolves R CMD check vignette build errors caused by exametrika dependency during check.
  • Add ^vignettes/articles$ to .Rbuildignore to exclude pkgdown-only articles from package build.
  • Update test-coverage.yaml: upgrade codecov/codecov-action from v4 to v5, add print(cov) for log output, add testthat output display and failure artifact upload steps, update parameter names for v5 compatibility (file to files, plugin to plugins). Set fail_ci_if_error: false for codecov upload to avoid CI failure when CODECOV_TOKEN is not configured.
  • Update pkgdown.yaml: install exametrika from GitHub (github::kosugitti/exametrika) to ensure v1.9.0 datasets (e.g., J35S500) are available for article rendering.

GitHub Pages / pkgdown (Phase 3)

  • Add Plot Gallery article (vignettes/articles/plot-gallery.Rmd) as a pkgdown-only article showcasing all 27 visualization functions with live rendered examples. The gallery is organized into 7 sections: IRT Models, GRM, Latent Class/Rank Analysis, Biclustering (binary/ordinal/nominal), LRAordinal/LRArated, Network Models (DAG), and Common Options Demo.
  • Uses six sample datasets (J15S500, J5S1000, J35S515, J35S500, J20S600, J15S3810) covering binary, ordinal, and nominal response types, and 8 model types (IRT, GRM, LCA, LRA, LRAordinal, Biclustering, ordinal Biclustering, nominal Biclustering). Network models (BNM, LDLRA, LDB, BINET) are shown as reference code only (eval=FALSE) since they require explicit graph structure input.
  • Add Plot Gallery to _pkgdown.yml navbar menu (displayed at the top of the Articles dropdown) and articles section.

Vignette Bug Fixes

  • Remove incorrect plotFRP_gg(result_lca) and plotFRP_gg(result_lra) calls from both English and Japanese getting-started vignettes. plotFRP_gg() requires Biclustering-family models; LCA/LRA do not produce FRP output (exametrika valid_types declaration is incorrect).
  • Replace non-existent OrdinalData dataset with J35S500 in ordinal Biclustering example.
  • Fix color = to colors = in plotTIC_gg() customization example (parameter name mismatch).
  • Fix rankdir = to direction = and remove non-existent node_color/edge_color parameters from plotGraph_gg() customization example.
  • Set LDLRA, LDB, and BINET plotGraph_gg() examples to eval = FALSE with “coming soon” notes, as DAG visualization currently supports BNM only.
  • Fix plotFRP_gg() usage in vignettes: the function returns a single ggplot object, not a list. Removed incorrect [[1]] indexing and combinePlots_gg() calls.
  • Set BNM, LDLRA, LDB, and BINET model fitting and all dependent plot chunks to eval = FALSE in both vignettes. BNM requires explicit graph input; LDLRA/LDB/BINET are computationally expensive and have unresolved API issues with current exametrika version.
  • Set devtools::install_github() chunks to eval = FALSE in both vignettes. devtools is not available during R CMD check.
  • Replace non-existent OrdinalData dataset with J35S500 in plotFCBR_gg() and plotFRP_gg() roxygen examples.
  • Fix plotFCBR_gg() example: fields = 1:6 exceeded nfld = 5, and colors had 4 values for 5-category data. Changed to fields = 1:5 and added 5th color.
  • Add missing library(exametrika) to plotFCRP_gg() and plotScoreField_gg() roxygen examples.
  • Change plotFieldPIRP_gg() and plotLDPSR_gg() examples from @examplesIf to @examples with \dontrun{}. LDB and BINET require explicit graph structure input that cannot be created in simple examples.

GitHub Pages / pkgdown (Phase 2)

  • Change vignettes (getting-started.Rmd, getting-started-ja.Rmd) from eval = FALSE to eval = requireNamespace("exametrika", quietly = TRUE). Vignette code chunks now execute automatically when exametrika is installed, producing live output on pkgdown site, while still being skipped gracefully when unavailable.
  • Add nomBiclust (nominalBiclustering) column to Function-Model Compatibility Matrix in both English and Japanese vignettes.
  • Add three new function rows to the compatibility matrix: plotFCRP_gg (v1.9.0), plotScoreField_gg (v1.9.0), plotLDPSR_gg (v0.0.32).
  • Fix missing ordBiclust marks in the compatibility matrix for plotFRP_gg, plotLRD_gg, plotCRV_gg, and plotRRV_gg. These functions natively accept ordinalBiclustering in their validation code but were not marked in the matrix.
  • Fix missing LDLRA mark for plotTRP_gg in the compatibility matrix. The function accepts LDLRA in its validation code but was not marked.

GitHub Pages / pkgdown (Phase 1)

  • Migrate @examples + \dontrun{} to @examplesIf requireNamespace("exametrika", quietly = TRUE) for all 28 plot functions. Examples now run automatically when exametrika is installed (improving pkgdown reference pages with live output) while still being skipped gracefully when exametrika is unavailable.
  • Three pure utility functions (LogisticModel, ItemInformationFunc, ItemInformationFunc_GRM) retain @examples since they have no exametrika dependency.
  • Add plotLDPSR_gg to _pkgdown.yml reference section under “DAG & Network Model Plots”.
  • Rename “DAG Visualization” section to “DAG & Network Model Plots” in _pkgdown.yml to better reflect the inclusion of BINET-specific profile plots.
  • Add figures section to _pkgdown.yml with explicit dimensions (fig.width=7, fig.height=5, dpi=96, fig.retina=2) for consistent example plot rendering on GitHub Pages.

ggExametrika 0.0.32

New Features

  • Add plotLDPSR_gg() for Local Dependence Passing Student Rate (LDPSR) visualization (BINET only). LDPSR shows item-level correct response rate profiles comparing parent and child classes at each DAG edge, visualizing how students improve when transitioning between latent classes via a specific field.
  • plotLDPSR_gg() supports common plot options (title, colors, linetype, show_legend, legend_position).
  • Returns a list of ggplot objects (one per DAG edge), compatible with combinePlots_gg().

Test Infrastructure

  • Add BINET test fixture to helper-setup.R using J35S515 with 3 classes, 5 fields, and a simple chain DAG structure.
  • Add test-LDPSR-plots.R with comprehensive tests: basic functionality, common options, input validation, model type rejection, and combinePlots_gg integration.
  • Add plotLDPSR_gg validation entry to test-validation.R.

ggExametrika 0.0.31

Bug Fixes

CRAN Compliance

  • Convert all Japanese comments in R source files to English (9 files, ~100 comments). Non-ASCII characters in source code cause encoding warnings in R CMD check –as-cran.
  • Translate Japanese text in NEWS.md v0.0.29 entry to English.

ggExametrika 0.0.30

Bug Fixes

  • Fix plotRMP_gg() to support LRAordinal and LRArated model types. Previously these models were rejected with “Invalid input” error despite having valid Students/Membership data.
  • Add polytomous (multi-valued) data support to plotCRV_gg() with stat parameter (“mean”, “median”, “mode”), matching the existing plotRRV_gg() functionality. For binary data, backward compatibility is fully maintained.
  • Add show_labels parameter to plotCRV_gg() for displaying class labels using ggrepel.
  • For polytomous CRV, Y-axis automatically adjusts to “Expected Score (stat)” with range 1-maxQ. Title includes stat name.

CI / Test Infrastructure

  • Add GitHub Actions workflow R-CMD-check.yaml for multi-platform R CMD check (macOS, Windows, Ubuntu with R release/devel/oldrel-1).
  • Add GitHub Actions workflow test-coverage.yaml for covr test coverage with optional Codecov upload.
  • Fix BNM test fixture in helper-setup.R: BNM requires a DAG graph argument (g). Added igraph DAG creation for J5S10 dataset. This resolves 4 previously skipped DAG tests.
  • Add tests for plotRMP_gg() with LRAordinal/LRArated models.
  • Update plotCRV_gg() tests: replace error-expectation test with polytomous support tests (stat, show_labels).
  • Remove Dropbox conflict copy artifact from tests/testthat/.
  • Test results: FAIL 0 | WARN 22 | SKIP 0 | PASS 452 (previously 433 PASS + 4 SKIP).

Documentation

  • Update CLAUDE.md: Correct FRP model support table. exametrika’s plot.exametrika valid_types declares FRP as valid for LCA and LRA, but neither LCA() nor LRA() actually produce a $FRP field in their output. The plotFRP_gg() correctly rejects these models. Added annotation (*1) to model compatibility tables documenting this exametrika-side inconsistency.

ggExametrika 0.0.29

Documentation

  • Comprehensive README.md update to reflect current implementation status
    • Add nominalBiclustering, ordinalBiclustering, LRAordinal, LRArated to model list
    • Reorganize Function-Model compatibility table into 4 sections (IRT/GRM, LCA/LRA, Biclustering, Network) with accurate coverage for all functions and models
    • Add previously unlisted functions: plotICC_overlay_gg, plotIIC_overlay_gg, plotFCRP_gg, plotFCBR_gg, plotScoreField_gg, plotScoreFreq_gg, plotScoreRank_gg, plotICRP_gg, plotICBR_gg
    • Fix missing marks in compatibility table (plotFRP_gg LCA/LRA support, plotLCD_gg/plotCMP_gg Biclustering support, plotRMP_gg BINET support, etc.)
    • Add usage examples for LRAordinal/LRArated, polytomous Biclustering, and overlay functions
    • Add function-specific parameters (stat, style, show_labels) to Common Plot Options section
    • Remove broken link to non-existent Japanese guide

ggExametrika 0.0.28

Test Infrastructure Setup

Comprehensive testthat test suite for all 26 exported plot functions.

  • Create helper-setup.R with shared test fixtures (IRT 2PL/3PL, GRM, LCA, LRA, Biclustering binary/ordinal/nominal, LRAordinal, LRArated, BNM). Fixtures computed once and shared across all test files.
  • Add 10 new test files covering all plot function families:
    • test-IRT-plots.R: plotICC_gg, plotTRF_gg, plotICC_overlay_gg
    • test-IIC-TIC-plots.R: plotIIC_gg, plotTIC_gg, plotIIC_overlay_gg (IRT + GRM)
    • test-GRM-plots.R: plotICRF_gg
    • test-LCA-LRA-plots.R: plotIRP_gg, plotTRP_gg, plotLCD_gg, plotLRD_gg, plotCMP_gg, plotRMP_gg
    • test-Biclustering-plots.R: plotFRP_gg, plotCRV_gg, plotRRV_gg (binary + polytomous)
    • test-PolyBiclustering-plots.R: plotFCRP_gg, plotFCBR_gg, plotScoreField_gg
    • test-LRAordinal-plots.R: plotScoreFreq_gg, plotScoreRank_gg, plotICRP_gg, plotICBR_gg
    • test-DAG-plots.R: plotGraph_gg (BNM)
    • test-utility.R: combinePlots_gg
    • test-validation.R: Cross-cutting input validation for all 24+ plot functions
  • Add input validation tests for all functions: NULL, data.frame, numeric, character, list inputs and wrong model type cross-checks.
  • Add common options tests for all functions: title (TRUE/FALSE/custom), colors, linetype, show_legend, legend_position.
  • Remove empty legacy test files (test_ICCtoTIC.R, test_IRPtoCMPRMP.R, test_option.R) and Rplots.pdf artifact.
  • Total: 433 PASS, 0 FAIL, 22 WARN (ggplot2 deprecation only), 4 SKIP (BNM fixture unavailable).

ggExametrika 0.0.27

Common Options Unification

Add common plot options (title, colors, linetype, show_legend, legend_position) to 11 functions for API consistency.

Fully new common options (6 functions)

  • Add common options to plotICC_gg(): title (logical/character), colors, linetype, show_legend, legend_position. Also add items parameter for selecting which items to plot.
  • Add common options to plotTRF_gg(): title (logical/character), colors, linetype, show_legend, legend_position.
  • Add common options to plotIRP_gg(): title (logical/character), colors, linetype (default: “dashed”), show_legend, legend_position.
  • Add common options to plotCMP_gg(): title (logical/character), colors, linetype (default: “dashed”), show_legend, legend_position.
  • Add common options to plotRMP_gg(): title (logical/character), colors, linetype (default: “dashed”), show_legend, legend_position.
  • Add common options to plotFieldPIRP_gg(): title (logical/character), colors (per-field), linetype, show_legend, legend_position.

Supplemented missing options (4 functions)

  • Rename color to colors in plotTIC_gg() for API consistency. Add show_legend and legend_position parameters.
  • Add colors, linetype, show_legend, legend_position to plotTRP_gg(). Extend title to support character strings. colors[1]=bar fill, colors[2]=line/point color.
  • Add colors, linetype, show_legend, legend_position to plotLCD_gg(). Extend title to support character strings. colors[1]=bar fill, colors[2]=line/point color.
  • Add colors, linetype, show_legend, legend_position to plotLRD_gg(). Extend title to support character strings. colors[1]=bar fill, colors[2]=line/point color.

DAG visualization (1 function)

  • Add title (logical/character), colors (node fill), show_legend, legend_position to plotGraph_gg(). Note: linetype is not applicable to DAG edge arrows.

ggExametrika 0.0.26

  • Fix plotCMP_gg() and plotRMP_gg() to access Students columns by name (Membership *) instead of index position. Prevents column-shift bugs when exametrika adds columns (e.g., Estimate).
  • Fix plotCMP_gg() and plotRMP_gg() $Nclass reference to fallback chain: n_class -> Nclass -> n_rank -> Nrank. Now accepts LRA/Biclustering objects without errors.
  • Migrate $Nclass/$Nfield references in plotArray_gg() and plotFieldPIRP_gg() to new naming convention (n_class/n_field/n_rank) with fallback to deprecated names (Nclass/Nfield/Nrank).
  • Add internal utility .first_non_null() for safe fallback chains across naming conventions.
  • Fix plotTRP_gg(), plotLCD_gg(), plotLRD_gg() to use LCD/LRD fallback chains. LRA and LDLRA models (which have $LRD but not $LCD) now work correctly with all three functions.
  • Add LDLRA support to plotTRP_gg() (previously missing from valid model types).
  • Fix plotArray_gg() single-panel return value: when only Original = FALSE or Clusterd = FALSE, the function now correctly returns a list with the single plot at index 1 (previously stored at index 2 when only Clusterd was TRUE, causing plot[[1]] to be NULL).
  • Full backward compatibility maintained with older exametrika versions.

ggExametrika 0.0.25

  • Fix class validation in plotLCD_gg(), plotLRD_gg(), plotCMP_gg(), and plotRMP_gg() to support polytomous biclustering models.
  • Add support for ordinalBiclustering and nominalBiclustering classes in LCD, LRD, CMP, and RMP plots.
  • Change class validation from all(class(data) %in% c(...)) to any(class(data) %in% c(...)) for better compatibility.
  • Add inherits(data, "exametrika") check for more robust input validation.
  • Full backward compatibility maintained for binary Biclustering, LCA, LRA, LDLRA, LDB, and BINET models.

ggExametrika 0.0.24

  • Add multi-valued (polytomous) data support to plotRRV_gg() and plotCRV_gg() for ordinal/nominal Biclustering.
  • Add stat parameter to plotRRV_gg() and plotCRV_gg() for polytomous data: “mean” (default), “median”, or “mode”.
  • Add show_labels parameter to plotRRV_gg() and plotCRV_gg() (default: FALSE) for displaying rank/class labels using ggrepel.
  • Add ggrepel to Imports for automatic label positioning without overlaps.
  • Y-axis automatically adjusts: 0-1 for binary data (Correct Response Rate), 1-maxQ for polytomous data (Expected Score).
  • Title automatically includes stat name for polytomous data (e.g., “Rank Reference Vector (mean)”).
  • Full backward compatibility maintained for binary Biclustering models.

ggExametrika 0.0.23

  • Add plotFCRP_gg() for Field Category Response Profile (FCRP) visualization (exametrika v1.9.0 feature).
  • FCRP displays category response probability profiles for each field across latent classes/ranks in polytomous biclustering models (ordinalBiclustering, nominalBiclustering).
  • Support two visualization styles: “line” (default, line plot with points) and “bar” (stacked bar chart).
  • For bar style, add category boundary transition lines (dashed lines connecting adjacent bars).
  • Support common plot options (title, colors, linetype, show_legend, legend_position).
  • Requires 3+ response categories (use plotFRP_gg for binary data).
  • Completes exametrika v1.9.0 polytomous biclustering feature set (FCBR, ScoreField, FCRP all implemented).

ggExametrika 0.0.22

  • Add multi-valued data support to plotFRP_gg() (Field Reference Profile).
  • Add stat parameter for polytomous data: “mean” (weighted average), “median”, “mode”.
  • Support ordinalBiclustering and nominalBiclustering in addition to binary Biclustering/IRM/LDB/BINET.
  • Change return value from list to single ggplot object showing all fields.
  • Add common plot options (title, colors, linetype, show_legend, legend_position) to plotFRP_gg().
  • For binary data: displays correct response rate (0-1).
  • For polytomous data: displays expected score calculated using selected stat method.
  • Add comprehensive test suite (develop/test_FRP_multivalue.R) covering binary/ordinal/nominal data.

ggExametrika 0.0.21

  • Add plotScoreField_gg() for Score-Field heatmap visualization (exametrika v1.9.0 feature).
  • plotScoreField_gg() displays expected scores for each field across latent classes/ranks in polytomous biclustering models (nominalBiclustering, ordinalBiclustering).
  • Expected score calculation: sum of (category × probability) for each field-class/rank combination.
  • Support common plot options (title, colors, show_legend, legend_position).
  • Add show_values parameter to toggle display of score values on heatmap cells.
  • Add text_size parameter to control size of value labels.
  • Uses colorblind-friendly yellow-orange-red gradient by default.

ggExametrika 0.0.20

  • Add plotFCBR_gg() for Field Cumulative Boundary Reference (FCBR) visualization (ordinalBiclustering).
  • FCBR shows cumulative probability curves for each category boundary across latent classes/ranks.
  • Support common plot options (title, colors, linetype, show_legend, legend_position) in plotFCBR_gg().
  • FCBR displays ALL boundary probabilities including P(Q>=1) (always 1.0), P(Q>=2), P(Q>=3), etc.
  • P(Q>=1) appears as a horizontal line at the top (y=1.0) for reference.

ggExametrika 0.0.19

  • Add plotScoreRank_gg() for Score-Rank heatmap visualization (LRAordinal, LRArated).
  • Support common plot options (title, colors, show_legend, legend_position) in plotScoreRank_gg().

ggExametrika 0.0.18

  • Add plotICBR_gg() for Item Category Boundary Response (ICBR) visualization (LRAordinal).
  • Add plotICRP_gg() for Item Category Reference Profile (ICRP) visualization (LRAordinal, LRArated).
  • Both functions support common plot options (title, colors, linetype, show_legend, legend_position).
  • ICBR shows cumulative probability curves for each category boundary across latent ranks.
  • ICRP shows response probability curves for each category across latent ranks (probabilities sum to 1.0).
  • Add tidyr to Imports for data transformation in plotICBR_gg() and plotICRP_gg().

ggExametrika 0.0.17

  • Add plotIIC_overlay_gg() for overlaying all Item Information Curves (IIC) on a single plot (IRT/GRM).
  • plotIIC_overlay_gg() supports both IRT and GRM models.
  • plotIIC_overlay_gg() supports common plot options (title, colors, linetype, show_legend, legend_position).
  • Similar to plot(IRT_result, type = "IIF", overlay = TRUE) in exametrika, but returns a ggplot2 object.

ggExametrika 0.0.16

  • Add plotICC_overlay_gg() for overlaying all Item Characteristic Curves (ICC) on a single plot (IRT).
  • plotICC_overlay_gg() supports common plot options (title, colors, linetype, show_legend, legend_position).
  • Similar to plot(IRT_result, type = "IRF", overlay = TRUE) in exametrika, but returns a ggplot2 object.

ggExametrika 0.0.15

  • Add plotScoreFreq_gg() for Score Frequency Distribution (LRAordinal, LRArated).
  • Common plot options (title, colors, linetype, show_legend, legend_position) supported.

ggExametrika 0.0.14

  • Add multi-valued data support to plotArray_gg() for ordinal/nominal Biclustering.
  • Add common plot options (title, colors, show_legend, legend_position) to plotArray_gg().
  • Add Clusterd_lines_color parameter to plotArray_gg() for customizing boundary line colors (default: red for binary data, white for multi-valued data).
  • plotArray_gg() now automatically detects the number of categories and uses appropriate color palettes.
  • For binary data (0/1), uses white/black colors. For multi-valued data (2+ categories), uses a colorblind-friendly palette.
  • Add special handling for missing values (-1): displayed as “NA” in legend with black color.
  • Fix plot margins and title spacing to prevent overlapping in side-by-side displays.
  • Fix boundary lines to stay within plot area using proper coordinate limits.
  • Fix boundary line positions in plotArray_gg() to align exactly with class/field boundaries.
  • CRITICAL FIX: Correct row sorting order in plotArray_gg() to match exametrika’s original implementation. Now uses order(ClassEstimated, decreasing = FALSE) with reversed rown for proper visual alignment (higher class numbers at bottom).

ggExametrika 0.0.13

ggExametrika 0.0.12

  • Add plotCRV_gg() for Class Reference Vector (CRV) visualization (Biclustering).
  • Add plotRRV_gg() for Rank Reference Vector (RRV) visualization (Biclustering).
  • Both functions support common plot options (title, colors, linetype, show_legend, legend_position).

ggExametrika 0.0.11

  • Add plotICRF_gg() for Item Category Response Function (GRM) visualization.
  • Add .gg_exametrika_palette() as package-wide default color palette (ColorBrewer Dark2).
  • Add common plot options (title, colors, linetype, show_legend, legend_position) to plotICRF_gg().
  • Fix y-axis on all probability plots to always display 0.00 and 1.00 with breaks at 0.25 intervals.

ggExametrika 0.0.10

  • Add plotTRF_gg() for Test Response Function (TRF) visualization in IRT models.

ggExametrika 0.0.9

  • Add plotGraph_gg() for DAG visualization using ggraph.
  • Expand help documentation for all functions.
  • Apply styler::style_pkg() for consistent code formatting.
  • Fix compatibility with current exametrika package.
  • Add pkgdown site and GitHub Actions workflow.

ggExametrika 0.0.8

ggExametrika 0.0.7

  • Add plotTRP_gg() for Test Reference Profile (LCA, LRA, Biclustering, IRM, LDLRA, LDB, BINET).
  • Add plotLCD_gg() for Latent Class Distribution (LCA, Biclustering).
  • Add plotLRD_gg() for Latent Rank Distribution (LRA, Biclustering, LDLRA, LDB, BINET).
  • Add plotCMP_gg() for Class Membership Profile (LCA, Biclustering, BINET).
  • Add plotRMP_gg() for Rank Membership Profile (LRA, Biclustering, LDLRA, LDB, BINET, LRAordinal, LRArated).

ggExametrika 0.0.6

  • Add plotIRP_gg() for Item Reference Profile (LCA, LRA, LDLRA).
  • Add plotFRP_gg() for Field Reference Profile (LCA, LRA, Biclustering, IRM, LDB, BINET).

ggExametrika 0.0.5

ggExametrika 0.0.1

  • Initial package setup.