Sun, 19 Jul 2026

Package rayshader updated to version 0.41.2 with previous version 0.37.3 dated 2024-02-21

Title: Create Maps and Visualize Data in 2D and 3D
Description: Uses a combination of raytracing and multiple hill shading methods to produce 2D and 3D data visualizations and maps. Includes water detection and layering functions, programmable color palette generation, several built-in textures for hill shading, 2D and 3D plotting options, a built-in path tracer, 'Wavefront' OBJ file export, and the ability to save 3D visualizations to a 3D printable format.
Author: Tyler Morgan-Wall [aut, cph, cre]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

Diff between rayshader versions 0.37.3 dated 2024-02-21 and 0.41.2 dated 2026-07-19

 rayshader-0.37.3/rayshader/R/pipeImport.R                           |only
 rayshader-0.37.3/rayshader/R/utils-pipe.R                           |only
 rayshader-0.41.2/rayshader/DESCRIPTION                              |   29 
 rayshader-0.41.2/rayshader/MD5                                      |  319 -
 rayshader-0.41.2/rayshader/NAMESPACE                                |    2 
 rayshader-0.41.2/rayshader/NEWS                                     |  843 ++++
 rayshader-0.41.2/rayshader/R/add_overlay.R                          |  107 
 rayshader-0.41.2/rayshader/R/add_padding.R                          |    3 
 rayshader-0.41.2/rayshader/R/add_shadow.R                           |   91 
 rayshader-0.41.2/rayshader/R/add_water.R                            |  140 
 rayshader-0.41.2/rayshader/R/ambient_shade.R                        |  142 
 rayshader-0.41.2/rayshader/R/calculate_normal.R                     |   28 
 rayshader-0.41.2/rayshader/R/colorspace_functions.R                 |   23 
 rayshader-0.41.2/rayshader/R/constant_shade.R                       |   46 
 rayshader-0.41.2/rayshader/R/convert_color.R                        |   53 
 rayshader-0.41.2/rayshader/R/convert_path_to_animation_coords.R     |  428 +-
 rayshader-0.41.2/rayshader/R/convert_rgl_to_raymesh.R               |  558 +--
 rayshader-0.41.2/rayshader/R/create_texture.R                       |  166 
 rayshader-0.41.2/rayshader/R/defunct.R                              |only
 rayshader-0.41.2/rayshader/R/detect_water.R                         |   79 
 rayshader-0.41.2/rayshader/R/flag_obj.R                             |   12 
 rayshader-0.41.2/rayshader/R/generate_altitude_overlay.R            |  133 
 rayshader-0.41.2/rayshader/R/generate_compass_overlay.R             |  556 ++-
 rayshader-0.41.2/rayshader/R/generate_contour_overlay.R             |  144 
 rayshader-0.41.2/rayshader/R/generate_dirt_textures.R               |  103 
 rayshader-0.41.2/rayshader/R/generate_label_overlay.R               |  383 +-
 rayshader-0.41.2/rayshader/R/generate_line_overlay.R                |  208 -
 rayshader-0.41.2/rayshader/R/generate_point_overlay.R               |  201 -
 rayshader-0.41.2/rayshader/R/generate_polygon_overlay.R             |  319 +
 rayshader-0.41.2/rayshader/R/generate_scalebar_overlay.R            |  773 ++--
 rayshader-0.41.2/rayshader/R/generate_waterline_overlay.R           |  226 -
 rayshader-0.41.2/rayshader/R/get_ids_with_labels.R                  |   27 
 rayshader-0.41.2/rayshader/R/gg_internal_functions.R                |  128 
 rayshader-0.41.2/rayshader/R/height_shade.R                         |  104 
 rayshader-0.41.2/rayshader/R/lamb_shade.R                           |   54 
 rayshader-0.41.2/rayshader/R/make_base.R                            |    7 
 rayshader-0.41.2/rayshader/R/make_shadow.R                          |  190 -
 rayshader-0.41.2/rayshader/R/make_water.R                           |  194 -
 rayshader-0.41.2/rayshader/R/pipe.R                                 |only
 rayshader-0.41.2/rayshader/R/plot_3d.R                              |  677 ++-
 rayshader-0.41.2/rayshader/R/plot_gg.R                              |  863 +++-
 rayshader-0.41.2/rayshader/R/plot_map.R                             |  125 
 rayshader-0.41.2/rayshader/R/raster_to_matrix.R                     |   65 
 rayshader-0.41.2/rayshader/R/ray_shade.R                            |  210 -
 rayshader-0.41.2/rayshader/R/render_beveled_polygons.R              |  392 +-
 rayshader-0.41.2/rayshader/R/render_buildings.R                     |  366 +-
 rayshader-0.41.2/rayshader/R/render_camera.R                        |   97 
 rayshader-0.41.2/rayshader/R/render_clouds.R                        |  834 +++-
 rayshader-0.41.2/rayshader/R/render_compass.R                       |  354 +-
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 rayshader-0.41.2/rayshader/R/render_depth.R                         |  422 +-
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 rayshader-0.41.2/rayshader/R/render_label.R                         |  558 +--
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 rayshader-0.41.2/rayshader/R/render_multipolygonz.R                 |   81 
 rayshader-0.41.2/rayshader/R/render_obj.R                           |  655 ++-
 rayshader-0.41.2/rayshader/R/render_path.R                          |  360 +-
 rayshader-0.41.2/rayshader/R/render_points.R                        |  105 
 rayshader-0.41.2/rayshader/R/render_polygons.R                      |  326 +
 rayshader-0.41.2/rayshader/R/render_raymesh.R                       |  700 ++-
 rayshader-0.41.2/rayshader/R/render_resize_window.R                 |   39 
 rayshader-0.41.2/rayshader/R/render_scalebar.R                      |  541 +--
 rayshader-0.41.2/rayshader/R/render_snapshot.R                      |  255 -
 rayshader-0.41.2/rayshader/R/render_snapshot_software.R             |  498 +-
 rayshader-0.41.2/rayshader/R/render_tree.R                          |  958 ++---
 rayshader-0.41.2/rayshader/R/render_water.R                         |   70 
 rayshader-0.41.2/rayshader/R/resize_matrix.R                        |  192 -
 rayshader-0.41.2/rayshader/R/save_3dprint.R                         |   56 
 rayshader-0.41.2/rayshader/R/save_multipolygonz_to_obj.R            |    2 
 rayshader-0.41.2/rayshader/R/save_obj.R                             | 1770 ++++++----
 rayshader-0.41.2/rayshader/R/save_png.R                             |  144 
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 rayshader-0.41.2/rayshader/R/tree_obj.R                             |   12 
 rayshader-0.41.2/rayshader/R/utils.R                                |  327 +
 rayshader-0.41.2/rayshader/R/write_stl.R                            |    3 
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 rayshader-0.41.2/rayshader/man/add_water.Rd                         |   20 
 rayshader-0.41.2/rayshader/man/ambient_shade.Rd                     |   24 
 rayshader-0.41.2/rayshader/man/calculate_normal.Rd                  |    4 
 rayshader-0.41.2/rayshader/man/cloud_shade.Rd                       |   60 
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 rayshader-0.41.2/rayshader/man/constant_shade.Rd                    |   32 
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 rayshader-0.41.2/rayshader/man/convert_path_to_animation_coords.Rd  |  267 -
 rayshader-0.41.2/rayshader/man/convert_rgl_to_raymesh.Rd            |   24 
 rayshader-0.41.2/rayshader/man/create_texture.Rd                    |   21 
 rayshader-0.41.2/rayshader/man/detect_water.Rd                      |   23 
 rayshader-0.41.2/rayshader/man/fix_manifold_geometry.Rd             |    2 
 rayshader-0.41.2/rayshader/man/flag_banner_obj.Rd                   |    4 
 rayshader-0.41.2/rayshader/man/flag_full_obj.Rd                     |    4 
 rayshader-0.41.2/rayshader/man/flag_pole_obj.Rd                     |    4 
 rayshader-0.41.2/rayshader/man/generate_altitude_overlay.Rd         |   28 
 rayshader-0.41.2/rayshader/man/generate_compass_overlay.Rd          |  171 
 rayshader-0.41.2/rayshader/man/generate_contour_overlay.Rd          |   76 
 rayshader-0.41.2/rayshader/man/generate_halo_underlay.Rd            |only
 rayshader-0.41.2/rayshader/man/generate_label_overlay.Rd            |  129 
 rayshader-0.41.2/rayshader/man/generate_line_overlay.Rd             |   66 
 rayshader-0.41.2/rayshader/man/generate_point_overlay.Rd            |   60 
 rayshader-0.41.2/rayshader/man/generate_polygon_overlay.Rd          |   76 
 rayshader-0.41.2/rayshader/man/generate_scalebar_overlay.Rd         |  151 
 rayshader-0.41.2/rayshader/man/generate_soil_textures.Rd            |    8 
 rayshader-0.41.2/rayshader/man/generate_surface.Rd                  |    4 
 rayshader-0.41.2/rayshader/man/generate_waterline_overlay.Rd        |  110 
 rayshader-0.41.2/rayshader/man/get_ids_with_labels.Rd               |    2 
 rayshader-0.41.2/rayshader/man/height_shade.Rd                      |   36 
 rayshader-0.41.2/rayshader/man/lamb_shade.Rd                        |   28 
 rayshader-0.41.2/rayshader/man/make_base.Rd                         |    8 
 rayshader-0.41.2/rayshader/man/make_base_triangulated.Rd            |    4 
 rayshader-0.41.2/rayshader/man/make_lines.Rd                        |   14 
 rayshader-0.41.2/rayshader/man/make_shadow.Rd                       |    4 
 rayshader-0.41.2/rayshader/man/make_water.Rd                        |   10 
 rayshader-0.41.2/rayshader/man/make_waterlines.Rd                   |   14 
 rayshader-0.41.2/rayshader/man/monterey_counties_sf.Rd              |   10 
 rayshader-0.41.2/rayshader/man/monterey_roads_sf.Rd                 |    8 
 rayshader-0.41.2/rayshader/man/montereybay.Rd                       |    4 
 rayshader-0.41.2/rayshader/man/pipe.Rd                              |    8 
 rayshader-0.41.2/rayshader/man/plot_3d.Rd                           |  146 
 rayshader-0.41.2/rayshader/man/plot_gg.Rd                           |  160 
 rayshader-0.41.2/rayshader/man/plot_map.Rd                          |   50 
 rayshader-0.41.2/rayshader/man/raster_to_matrix.Rd                  |    6 
 rayshader-0.41.2/rayshader/man/ray_shade.Rd                         |   48 
 rayshader-0.41.2/rayshader/man/raymarch_cloud_layer.Rd              |    7 
 rayshader-0.41.2/rayshader/man/rayshader-defunct.Rd                 |only
 rayshader-0.41.2/rayshader/man/reduce_matrix_size.Rd                |   15 
 rayshader-0.41.2/rayshader/man/render_beveled_polygons.Rd           |  140 
 rayshader-0.41.2/rayshader/man/render_buildings.Rd                  |   94 
 rayshader-0.41.2/rayshader/man/render_camera.Rd                     |   14 
 rayshader-0.41.2/rayshader/man/render_clouds.Rd                     |   78 
 rayshader-0.41.2/rayshader/man/render_compass.Rd                    |   54 
 rayshader-0.41.2/rayshader/man/render_contours.Rd                   |   44 
 rayshader-0.41.2/rayshader/man/render_depth.Rd                      |  125 
 rayshader-0.41.2/rayshader/man/render_floating_overlay.Rd           |   34 
 rayshader-0.41.2/rayshader/man/render_highquality.Rd                |  275 +
 rayshader-0.41.2/rayshader/man/render_label.Rd                      |   98 
 rayshader-0.41.2/rayshader/man/render_movie.Rd                      |   89 
 rayshader-0.41.2/rayshader/man/render_multipolygonz.Rd              |   54 
 rayshader-0.41.2/rayshader/man/render_obj.Rd                        |   80 
 rayshader-0.41.2/rayshader/man/render_path.Rd                       |  117 
 rayshader-0.41.2/rayshader/man/render_points.Rd                     |   52 
 rayshader-0.41.2/rayshader/man/render_polygons.Rd                   |   69 
 rayshader-0.41.2/rayshader/man/render_raymesh.Rd                    |   66 
 rayshader-0.41.2/rayshader/man/render_resize_window.Rd              |   10 
 rayshader-0.41.2/rayshader/man/render_scalebar.Rd                   |   53 
 rayshader-0.41.2/rayshader/man/render_snapshot.Rd                   |  130 
 rayshader-0.41.2/rayshader/man/render_snapshot_software.Rd          |    2 
 rayshader-0.41.2/rayshader/man/render_tree.Rd                       |  146 
 rayshader-0.41.2/rayshader/man/render_water.Rd                      |   24 
 rayshader-0.41.2/rayshader/man/resize_matrix.Rd                     |   24 
 rayshader-0.41.2/rayshader/man/save_3dprint.Rd                      |   26 
 rayshader-0.41.2/rayshader/man/save_multipolygonz_to_obj.Rd         |    4 
 rayshader-0.41.2/rayshader/man/save_obj.Rd                          |   22 
 rayshader-0.41.2/rayshader/man/save_png.Rd                          |   43 
 rayshader-0.41.2/rayshader/man/sphere_shade.Rd                      |   40 
 rayshader-0.41.2/rayshader/man/texture_shade.Rd                     |   51 
 rayshader-0.41.2/rayshader/man/transform_into_heightmap_coords.Rd   |    2 
 rayshader-0.41.2/rayshader/man/tree_basic_center_obj.Rd             |    4 
 rayshader-0.41.2/rayshader/man/tree_cone_center_obj.Rd              |    4 
 rayshader-0.41.2/rayshader/man/tree_trunk_obj.Rd                    |    4 
 rayshader-0.41.2/rayshader/man/washington_monument_multipolygonz.Rd |    4 
 164 files changed, 15572 insertions(+), 10196 deletions(-)

More information about rayshader at CRAN
Permanent link

Package gsDesign updated to version 3.10.1 with previous version 3.10.0 dated 2026-07-02

Title: Group Sequential Design
Description: Derives group sequential clinical trial designs and describes their properties. Particular focus on time-to-event, binary, and continuous outcomes. Largely based on methods described in Jennison, Christopher and Turnbull, Bruce W., 2000, "Group Sequential Methods with Applications to Clinical Trials" ISBN: 0-8493-0316-8.
Author: Keaven Anderson [aut, cre], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph]
Maintainer: Keaven Anderson <keaven_anderson@merck.com>

Diff between gsDesign versions 3.10.0 dated 2026-07-02 and 3.10.1 dated 2026-07-19

 gsDesign-3.10.0/gsDesign/inst/slides                                                                             |only
 gsDesign-3.10.0/gsDesign/tests/testthat/Rplots.pdf                                                               |only
 gsDesign-3.10.0/gsDesign/vignettes/gsDesignVsProcSeqdesign.html                                                  |only
 gsDesign-3.10.1/gsDesign/DESCRIPTION                                                                             |    6 
 gsDesign-3.10.1/gsDesign/MD5                                                                                     |   51 
 gsDesign-3.10.1/gsDesign/NEWS.md                                                                                 |    7 
 gsDesign-3.10.1/gsDesign/R/gsDesign.R                                                                            |   10 
 gsDesign-3.10.1/gsDesign/build/vignette.rds                                                                      |binary
 gsDesign-3.10.1/gsDesign/inst/doc/ConditionalErrorSpending.html                                                  |  351 +--
 gsDesign-3.10.1/gsDesign/inst/doc/ConditionalPowerPlot.html                                                      |    2 
 gsDesign-3.10.1/gsDesign/inst/doc/HarmBound.html                                                                 |   12 
 gsDesign-3.10.1/gsDesign/inst/doc/MultiSeasonRareEvents.html                                                     |  349 +--
 gsDesign-3.10.1/gsDesign/inst/doc/PoissonMixtureModel.html                                                       |  121 -
 gsDesign-3.10.1/gsDesign/inst/doc/SelectiveBoundTesting.html                                                     |    2 
 gsDesign-3.10.1/gsDesign/inst/doc/SurvivalOverview.html                                                          |    4 
 gsDesign-3.10.1/gsDesign/inst/doc/VaccineEfficacy.html                                                           |  606 +++---
 gsDesign-3.10.1/gsDesign/inst/doc/binomialSPRTExample.R                                                          |   20 
 gsDesign-3.10.1/gsDesign/inst/doc/binomialSPRTExample.html                                                       |  238 +-
 gsDesign-3.10.1/gsDesign/inst/doc/binomialTwoSample.R                                                            |   44 
 gsDesign-3.10.1/gsDesign/inst/doc/binomialTwoSample.html                                                         |  983 +++++-----
 gsDesign-3.10.1/gsDesign/inst/doc/gsDesignPackageOverview.html                                                   |    2 
 gsDesign-3.10.1/gsDesign/inst/doc/gsSurvBasicExamples.html                                                       |  344 +--
 gsDesign-3.10.1/gsDesign/inst/doc/gsSurvPower.html                                                               |    2 
 gsDesign-3.10.1/gsDesign/inst/doc/nNormal.html                                                                   |    6 
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 gsDesign-3.10.1/gsDesign/tests/testthat/test-selective-bounds.R                                                  |   15 
 gsDesign-3.10.1/gsDesign/vignettes/gsDesignAISkills.html                                                         |only
 28 files changed, 1674 insertions(+), 1581 deletions(-)

More information about gsDesign at CRAN
Permanent link

Package lavaan.printer updated to version 0.1.2 with previous version 0.1.0 dated 2024-09-15

Title: Helper Functions for Printing 'lavaan' Outputs
Description: Helpers for customizing selected outputs from 'lavaan' by Rosseel (2012) <doi:10.18637/jss.v048.i02> and print them. The functions are intended to be used by package developers in their packages and so are not designed to be user-friendly. They are designed to be let developers customize the tables by other functions. Currently the parameter estimates tables of a fitted object are supported.
Author: Shu Fai Cheung [aut, cre]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

Diff between lavaan.printer versions 0.1.0 dated 2024-09-15 and 0.1.2 dated 2026-07-19

 DESCRIPTION                                 |   12 
 MD5                                         |   35 
 NAMESPACE                                   |    8 
 NEWS.md                                     |   16 
 R/lavaan.printer-package.R                  |   12 
 R/parameterEstimates_table_list.R           | 1142 +++++++++---------
 R/parameterEstimates_table_list_helpers.R   | 1726 ++++++++++++++--------------
 R/print_parameterEstimates_table_list.R     |  402 +++---
 README.md                                   |   39 
 build/partial.rdb                           |binary
 build/vignette.rds                          |binary
 inst/doc/lavaan.printer.Rmd                 |  590 ++++-----
 inst/doc/lavaan.printer.html                |    2 
 man/lavaan.printer-package.Rd               |   50 
 man/parameterEstimates_table_list.Rd        |  804 ++++++-------
 tests/testthat/test_est_table_list.R        |  606 ++++-----
 tests/testthat/test_est_table_list_checks.R |   38 
 tests/testthat/test_est_table_list_sam.R    |only
 vignettes/lavaan.printer.Rmd                |  590 ++++-----
 19 files changed, 3052 insertions(+), 3020 deletions(-)

More information about lavaan.printer at CRAN
Permanent link

Package mizer updated to version 3.2.0 with previous version 3.1.0 dated 2026-06-29

Title: Dynamic Multi-Species Size Spectrum Modelling
Description: A set of classes and methods to set up and run multi-species, trait based and community size spectrum ecological models, focused on the marine environment.
Author: Gustav Delius [cre, aut, cph] , Finlay Scott [aut, cph], Julia Blanchard [aut, cph] , Ken Andersen [aut, cph] , Richard Southwell [ctb, cph]
Maintainer: Gustav Delius <gustav.delius@york.ac.uk>

Diff between mizer versions 3.1.0 dated 2026-06-29 and 3.2.0 dated 2026-07-19

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 mizer-3.2.0/mizer/NAMESPACE                                        |   34 
 mizer-3.2.0/mizer/NEWS.md                                          |  236 ++++
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 mizer-3.2.0/mizer/R/MizerParams-class.R                            |   16 
 mizer-3.2.0/mizer/R/calibrate.R                                    |    2 
 mizer-3.2.0/mizer/R/compareParams.R                                |   77 +
 mizer-3.2.0/mizer/R/generic_methods.R                              |  151 ++-
 mizer-3.2.0/mizer/R/helpers.R                                      |   87 +
 mizer-3.2.0/mizer/R/manipulate_species.R                           |  362 +++++--
 mizer-3.2.0/mizer/R/mizer-package.R                                |    2 
 mizer-3.2.0/mizer/R/newMultispeciesParams.R                        |   14 
 mizer-3.2.0/mizer/R/newSingleSpeciesParams.R                       |   17 
 mizer-3.2.0/mizer/R/plots.R                                        |   77 +
 mizer-3.2.0/mizer/R/project.R                                      |   17 
 mizer-3.2.0/mizer/R/project_n.R                                    |   15 
 mizer-3.2.0/mizer/R/rate_functions.R                               |    9 
 mizer-3.2.0/mizer/R/registerExtensions.R                           |   65 +
 mizer-3.2.0/mizer/R/resource_dynamics.R                            |   45 
 mizer-3.2.0/mizer/R/resource_logistic.R                            |   39 
 mizer-3.2.0/mizer/R/resource_semichemostat.R                       |   37 
 mizer-3.2.0/mizer/R/saveParams.R                                   |   40 
 mizer-3.2.0/mizer/R/setColours.R                                   |   46 
 mizer-3.2.0/mizer/R/setExtDiffusion.R                              |    8 
 mizer-3.2.0/mizer/R/setExtEncounter.R                              |    8 
 mizer-3.2.0/mizer/R/setExtMort.R                                   |    8 
 mizer-3.2.0/mizer/R/setFishing.R                                   |  221 ++++
 mizer-3.2.0/mizer/R/setInteraction.R                               |    8 
 mizer-3.2.0/mizer/R/setMaxIntakeRate.R                             |    8 
 mizer-3.2.0/mizer/R/setMetabolicRate.R                             |   36 
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Package glmSTARMA updated to version 1.1.0 with previous version 1.0.0 dated 2026-01-26

Title: (Double) Generalized Linear Models for Spatio-Temporal Data
Description: Fit spatio-temporal models within a (double) generalized linear modelling framework. The package includes functions for estimation, simulation and inference.
Author: Steffen Maletz [aut, cre] , Konstantinos Fokianos [aut] , Roland Fried [aut] , Valerie Weismann [ctb]
Maintainer: Steffen Maletz <maletz@statistik.tu-dortmund.de>

Diff between glmSTARMA versions 1.0.0 dated 2026-01-26 and 1.1.0 dated 2026-07-19

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Package healthcare.antitrust updated to version 0.1.6 with previous version 0.1.5 dated 2026-02-07

Title: Healthcare Antitrust Analysis
Description: Antitrust analysis of healthcare markets. Contains functions to implement the semiparametric estimation technique described in Raval, Rosenbaum, and Tenn (2017) "A Semiparametric Discrete Choice Model: An Application to Hospital Mergers" <doi:10.1111/ecin.12454>.
Author: Matthew T Panhans [aut, cre]
Maintainer: Matthew T Panhans <mpanhans@gmail.com>

Diff between healthcare.antitrust versions 0.1.5 dated 2026-02-07 and 0.1.6 dated 2026-07-19

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Package SimplexRegression updated to version 0.1.5 with previous version 0.1.4 dated 2026-07-08

Title: Simplex Regression Models with Parametric or Fixed Mean Link Functions
Description: Fits and analyzes simplex regression models with either fixed or parametric mean link functions. Implements the simplex probability density function, cumulative distribution function, quantile function, random number generation, and variance evaluation. Offers several fixed and parametric link functions for the mean submodel, tools for residual analysis and diagnostic plotting, hypothesis testing procedures, and influence measures such as Cook's distance and leverage (hat values). Includes the Scout Score (SS) criterion for model selection, enabling comprehensive inference and diagnostic analysis within the simplex regression framework. For more details see Barndorff-Nielsen and Jorgensen (1991) <doi:10.1016/0047-259X(91)90008-P> and Justino and Cribari-Neto (2026) <doi:10.1016/j.apm.2025.116713>.
Author: Maria Eduarda da Cruz Justino [aut, cre] , Francisco Cribari-Neto [ctb, ths]
Maintainer: Maria Eduarda da Cruz Justino <eueduardacruz@gmail.com>

Diff between SimplexRegression versions 0.1.4 dated 2026-07-08 and 0.1.5 dated 2026-07-19

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Permanent link

Package rolescry updated to version 0.2.0 with previous version 0.1.0 dated 2026-06-22

Title: Name-Blind Variable-Role Detection by Data Signature
Description: Deterministic, name-blind detection of variable roles (group, outcome, survival time and event, paired and agreement measurements, repeated measures, scale items, subject identifier, covariate) in tabular data. Roles are assigned from each column's information-theoretic signature -- Shannon entropy, normalized mutual information, and distributional shape -- rather than from column names, so renaming columns to 'col_1', 'col_2', ... does not change the result ("Data inspice, non nomen"). An optional, capped name-based hint and automatic header-row detection are also provided. No large language models and no external data transmission. Extracted from the 'MDStatR' biostatistics engine; see Boynukara (2026) <doi:10.5281/zenodo.20707791>.
Author: Can Boynukara [aut, cre, cph] , M. Yasir Ceyhan [ctb]
Maintainer: Can Boynukara <canboynukara1@gmail.com>

Diff between rolescry versions 0.1.0 dated 2026-06-22 and 0.2.0 dated 2026-07-19

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More information about rolescry at CRAN
Permanent link

Package punycoder updated to version 1.2.1 with previous version 1.1.0 dated 2026-06-16

Title: Unicode and Punycode Domain Name Processing
Description: High-performance Unicode and Punycode processing for internationalized domain names. The 'puny_encode()' / 'puny_decode()' helpers are a low-level, RFC 3492 compliant Punycode codec for domain labels (the 'xn--' ASCII-Compatible Encoding of RFC 5890/5891); they perform the raw transform plus letter-digit-hyphen checks and do not apply Unicode IDNA normalization. 'host_normalize()' is the Unicode Technical Standard #46 host-normalization entry point, mapping a host name to a canonical lowercase ASCII comparison form (non-transitional profile, pinned Unicode version). The 'url_encode()' / 'url_decode()' / 'parse_url()' helpers do best-effort host extraction and rewriting in URL-shaped strings and are deliberately not RFC 3986 / WHATWG URL parsers or canonicalizers; they are deprecated in favor of dedicated URL packages. Aimed at host normalization and data analysis workflows. Used as the Punycode and IDNA engine by the 'pslr' and 'rurl' packages.
Author: Bart Turczynski [aut, cre]
Maintainer: Bart Turczynski <bartek@turczynski.pl>

Diff between punycoder versions 1.1.0 dated 2026-06-16 and 1.2.1 dated 2026-07-19

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Package Rtinycc updated to version 0.1.12 with previous version 0.1.9 dated 2026-04-27

Title: Builds the 'TinyCC' Command-Line Interface and Library for 'C' Scripting in 'R'
Description: Builds the 'TinyCC' (Tiny 'C' Compiler) command-line interface and library for package use in 'R'. The package compiles 'TinyCC' from source and provides R functions to interact with the compiler. 'TinyCC' can be used for header preprocessing, just-in-time compilation of 'C' code in 'R', and lightweight 'C' scripting workflows.
Author: Sounkou Mahamane Toure [aut, cre], Mike Cheng [cph] , Adam Dunkels [ctb] , Swedish Institute of Computer Science [cph] , Fabrice Bellard and TinyCC authors [cph]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>

Diff between Rtinycc versions 0.1.9 dated 2026-04-27 and 0.1.12 dated 2026-07-19

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Package PDEnaiveBayes updated to version 0.4.0 with previous version 0.3.0 dated 2026-06-21

Title: Plausible Naive Bayes Classifier Using PDE
Description: Provides a nonparametric, multicore-capable plausible naive Bayes classifier based on Pareto density estimation (PDE). It addresses low-evidence cases through a plausibility correction. To enhance the interpretability of the flexible naive Bayes classifier by revealing its posterior structure and feature-wise, class-specific evidence, posterior probabilities can be visualized as class-wise line plots for one-dimensional data or color-coded Voronoi diagrams for pairwise feature projections, and class-conditional PDE likelihoods as overlaid, mirrored density profiles resembling violin plots. Methodological details are provided by Stier, Q., Hoffmann, J. and Thrun, M. C. (2026) "Classifying with the Fine Structure of Distributions: Leveraging Distributional Information for Robust and Plausible Naive Bayes" <DOI:10.3390/make8010013>. For multicore computations, the implementation applies the general memory-sharing approach described by Thrun, M. C. and Märte, J. (2026) "memshare: Mem [...truncated...]
Author: Michael Thrun [aut, cph, cre] , Quirin Stier [aut, rev] , Tim Robin Neldner [ctr, ctb]
Maintainer: Michael Thrun <m.thrun@gmx.net>

Diff between PDEnaiveBayes versions 0.3.0 dated 2026-06-21 and 0.4.0 dated 2026-07-19

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Package couplr updated to version 1.5.0 with previous version 1.4.1 dated 2026-05-23

Title: Optimal Pairing and Matching via Linear Assignment
Description: Solves optimal pairing and matching problems using linear assignment algorithms. Provides implementations of the Hungarian method (Kuhn 1955) <doi:10.1002/nav.3800020109>, Jonker-Volgenant shortest path algorithm (Jonker and Volgenant 1987) <doi:10.1007/BF02278710>, Auction algorithm (Bertsekas 1988) <doi:10.1007/BF02186476>, cost-scaling (Goldberg and Kennedy 1995) <doi:10.1007/BF01585996>, scaling algorithms (Gabow and Tarjan 1989) <doi:10.1137/0218069>, push-relabel (Goldberg and Tarjan 1988) <doi:10.1145/48014.61051>, and Sinkhorn entropy-regularized transport (Cuturi 2013) <doi:10.48550/arxiv.1306.0895>. Designed for matching plots, sites, samples, or any pairwise optimization problem. Supports rectangular matrices, forbidden assignments, data frame inputs, batch solving, k-best solutions, and pixel-level image morphing for visualization. Includes automatic preprocessing with variable health checks, multiple scaling methods (standardized, [...truncated...]
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package sp updated to version 2.2-3 with previous version 2.2-1 dated 2026-02-13

Title: Classes and Methods for Spatial Data
Description: Classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving coordinates, for subsetting, print, summary, etc. From this version, 'rgdal', 'maptools', and 'rgeos' are no longer used at all, see <https://r-spatial.org/r/2023/05/15/evolution4.html> for details.
Author: Edzer Pebesma [aut, cre], Roger Bivand [aut], Barry Rowlingson [ctb], Virgilio Gomez-Rubio [ctb], Robert Hijmans [ctb], Michael Sumner [ctb], Don MacQueen [ctb], Jim Lemon [ctb], Finn Lindgren [ctb], Josh O'Brien [ctb], Joseph O'Rourke [ctb], Patrick [...truncated...]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package manymome.table updated to version 0.4.1 with previous version 0.4.0 dated 2024-12-10

Title: Publication-Ready Tables for 'manymome' Results
Description: Converts results from the 'manymome' package, presented in Cheung and Cheung (2024) <doi:10.3758/s13428-023-02224-z>, to publication-ready tables.
Author: Shu Fai Cheung [aut, cre] , Sing-Hang Cheung [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package lwgeom updated to version 0.2-17 with previous version 0.2-16 dated 2026-05-03

Title: Bindings to Selected 'liblwgeom' Functions for Simple Features
Description: Access to selected functions found in 'liblwgeom' <https://github.com/postgis/postgis/tree/master/liblwgeom>, the light-weight geometry library used by 'PostGIS' <http://postgis.net/>.
Author: Edzer Pebesma [aut, cre] , Colin Rundel [ctb], Andy Teucher [ctb], liblwgeom developers [cph]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package Statamarkdown updated to version 0.9.7 with previous version 0.9.6 dated 2025-10-07

Title: 'Stata' Markdown
Description: Settings and functions to extend the 'knitr' 'Stata' engine.
Author: Doug Hemken [aut] ), Tom Palmer [aut, cre] , Philipp Lepert [ctb]
Maintainer: Tom Palmer <remlapmot@hotmail.com>

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Package semTests readmission to version 1.0.0 with previous version 0.9.0 dated 2026-06-09

Title: Robust Test Statistics for Structural Equation Models
Description: Computes robust p-values for overall fit and nested comparisons of structural equation models fitted with 'lavaan'. Implements penalized eigenvalue block averaging and penalized regression (Foldnes, Moss, Grønneberg, 2025) <doi:10.1080/10705511.2024.2372028>, including their extension to nested models (Foldnes, Grønneberg, Moss, 2026) <doi:10.3758/s13428-026-02968-4>, alongside familiar corrections such as Satorra-Bentler. Supported settings include complete-data ML, GLS, and ULS, categorical DWLS and ULS, and full-information maximum likelihood with one or several groups.
Author: Jonas Moss [aut, cre] , Njal Foldnes [ctb] , Steffen Groenneberg [ctb]
Maintainer: Jonas Moss <jonas.moss.statistics@gmail.com>

This is a re-admission after prior archival of version 0.9.0 dated 2026-06-09

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Package rts2 updated to version 1.0.4 with previous version 1.0.3 dated 2026-06-07

Title: Log-Gaussian Cox Process Models with Approximations
Description: Supports modelling case data to facilitate. The package provides automated computational grid generation over an area of interest with methods to map covariates between geographies, model fitting including spatially aggregated case counts, and predictions and visualisation. Monte Carlo maximum likelihood is the main fitting method with a low-rank approximation for Gaussian processes described by Solin and Särkkä (2020) <doi:10.1007/s11222-019-09886-w> and a stochastic partial differential equation approximation. Bayesian methods are also provided for some methods. Log-Gaussian Cox Processes are described by Diggle et al. (2013) <doi:10.1214/13-STS441>.
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <s.i.watson@bham.ac.uk>

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Package rirods updated to version 0.3.0 with previous version 0.2.0 dated 2024-03-15

Title: R Client for 'iRODS'
Description: The open sourced data management software 'Integrated Rule-Oriented Data System' ('iRODS') offers solutions for the whole data life cycle (<https://irods.org/>). The loosely constructed and highly configurable architecture of 'iRODS' frees the user from strict formatting constraints and single-vendor solutions. This package provides an interface to the 'iRODS' HTTP API, allowing you to manage your data and metadata in 'iRODS' with R. Storage of annotated files and R objects in 'iRODS' ensures findability, accessibility, interoperability, and reusability of data.
Author: iRODS Consortium [cre, cph], Martin Schobben [aut] , Mariana Montes [aut], Terrell Russell [ctb], Christine Staiger [ctb], Ton Smeele [ctb], Alan King [ctb]
Maintainer: iRODS Consortium <support@irods.org>

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Package locuszoomr updated to version 0.3.10 with previous version 0.3.8 dated 2025-03-03

Title: Gene Locus Plot with Gene Annotations
Description: Publication-ready regional gene locus plots similar to those produced by the web interface 'LocusZoom' <https://my.locuszoom.org>, but running locally in R. Genetic or genomic data with gene annotation tracks are plotted via R base graphics, 'ggplot2' or 'plotly', allowing flexibility and easy customisation including laying out multiple locus plots on the same page. It uses the 'LDlink' API <https://ldlink.nih.gov/?tab=apiaccess> to query linkage disequilibrium data from the 1000 Genomes Project and can overlay this on plots <doi:10.1093/bioadv/vbaf006>.
Author: Myles Lewis [aut, cre]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>

Diff between locuszoomr versions 0.3.8 dated 2025-03-03 and 0.3.10 dated 2026-07-19

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Package ccoptimalmatch updated to version 0.1.1 with previous version 0.1.0 dated 2021-04-21

Title: Implementation of Case-Control Optimal Matching
Description: Cases are matched to controls in an efficient, optimal and computationally flexible way. It uses the idea of sub-sampling in the level of the case, by creating pseudo-observations of controls. The user can select between replacement and without replacement, the number of controls, and several covariates to match upon. See Mamouris (2021) <doi:10.1186/s12874-021-01256-3> for an overview.
Author: Pavlos Mamouris [aut, cre], Vahid Nassiri [aut, ctb]
Maintainer: Pavlos Mamouris <pavlos.mamouris@rwdatasolutions.com>

Diff between ccoptimalmatch versions 0.1.0 dated 2021-04-21 and 0.1.1 dated 2026-07-19

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Package glmbayes updated to version 0.9.7 with previous version 0.9.6 dated 2026-06-21

Title: Bayesian Generalized Linear Models (IID Samples)
Description: Provides Bayesian linear and generalized linear model fitting with independent and identically distributed (iid) posterior samples. The main functions mirror R's lm() and glm() interfaces while adding prior family specifications for Gaussian, Poisson, binomial, and Gamma models with log-concave likelihoods. Sampling for supported non-conjugate models uses accept-reject methods based on likelihood subgradients as in Nygren and Nygren (2006) <doi:10.1198/016214506000000357>. The package also includes tools for prior setup, posterior summaries, prediction, diagnostics, simulation, vignettes, and optional 'OpenCL' acceleration for larger models.
Author: Kjell Nygren [aut, cre], The R Core Team [ctb, cph] , The R Foundation [cph] , Ross Ihaka [ctb, cph] , Robert Gentleman [ctb, cph] , Simon Davies [ctb] , Morten Welinder [ctb, cph] , Martin Maechler [ctb]
Maintainer: Kjell Nygren <kjell.a.nygren@gmail.com>

Diff between glmbayes versions 0.9.6 dated 2026-06-21 and 0.9.7 dated 2026-07-19

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Permanent link

New package wcswatin with initial version 0.1.1
Package: wcswatin
Title: Weather and Climate Inputs for 'SWAT'
Version: 0.1.1
Description: Provides workflows to prepare weather and climate time series from gridded and station data for 'SWAT' ('Soil and Water Assessment Tool'). Supports data extraction, aggregation, interpolation, quality control, unit conversion, and export of per-location model input files. For the underlying model, see Arnold et al. (1998) "Large Area Hydrologic Modeling and Assessment Part I: Model Development" <doi:10.1111/j.1752-1688.1998.tb05961.x>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: future, knitr, rmarkdown, testthat (>= 3.0.0), withr
Imports: dplyr, tidyr, raster, ncdf4, data.table, glue, stringr, sf, lubridate, hyfo, ggplot2, terra, future.apply, progressr, methods
URL: https://github.com/reginalexavier/wcswatin, https://reginalexavier.github.io/wcswatin/
BugReports: https://github.com/reginalexavier/wcswatin/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-10 16:55:33 UTC; tredgi
Author: Reginal Exavier [aut, cre] , Fernando Shinji Kawakubo [aut] , Peter Zeilhofer [aut]
Maintainer: Reginal Exavier <reginalexavier@rocketmail.com>
Repository: CRAN
Date/Publication: 2026-07-19 13:10:02 UTC

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New package ppforest2 with initial version 0.1.1
Package: ppforest2
Title: Projection Pursuit Oblique Decision Trees and Random Forests
Version: 0.1.1
Date: 2026-07-10
Description: Builds decision trees by splitting on linear combinations of randomly chosen variables. Projection pursuit is used to choose a projection of the variables that best separates the groups. Using linear combinations of variables to separate groups takes the correlation between variables into account, which allows the model to outperform a traditional decision tree when the separation between groups occurs in combinations of variables. Single trees can be assembled into random forests for improved accuracy. Implements projection pursuit classification trees (Lee, Cook, Park and Lee (2013) <doi:10.1214/13-EJS810>) and projection pursuit forests (da Silva, Cook and Lee (2021) <doi:10.1080/10618600.2020.1870480>), following the earlier 'PPforest' package.
License: MIT + file LICENSE
Imports: Rcpp (>= 1.0.11)
LinkingTo: Rcpp, RcppEigen
Depends: R (>= 3.5.0)
LazyData: true
Encoding: UTF-8
Suggests: ggplot2, jsonlite, knitr, parsnip, patchwork, rlang, rmarkdown, rsample, testthat (>= 3.0.0), tibble, tune, vdiffr, withr, workflows, yardstick
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-10 20:07:48 UTC; andres
Author: Andres Vidal [aut, cre, cph], Natalia da Silva [aut]
Maintainer: Andres Vidal <andres@andresvidal.dev>
Repository: CRAN
Date/Publication: 2026-07-19 13:10:07 UTC

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New package MergeKmeans with initial version 0.2.0
Package: MergeKmeans
Title: Clustering Large Datasets by Merging K-Means Solutions
Version: 0.2.0
Description: Fast clustering of large datasets by hierarchically merging components of a K-means solution based on the pairwise overlap between the Gaussian mixture components implied by the K-means partition, as proposed by Melnykov and Michael (2020) <doi:10.1007/s00357-019-09314-8>. Implements the DEMP-K merging algorithm with single, Ward's, average, and complete linkages, the overlap map display for selecting the number of clusters, four K-means variants corresponding to Gaussian mixtures with spherical or elliptical, homoscedastic or heteroscedastic components, and a tool for selecting the number of K-means components.
License: GPL (>= 2)
Encoding: UTF-8
Imports: stats, graphics, grDevices, utils, parallel
Suggests: CompQuadForm, MixSim, mclust, broom, tibble, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-10 00:45:47 UTC; donga2
Author: Aqi Dong [aut, cre] , Volodymyr Melnykov [aut], Yang-Li Liao [aut], Peng Li [aut], Xuejian Li [aut]
Maintainer: Aqi Dong <donga2@erau.edu>
Repository: CRAN
Date/Publication: 2026-07-19 13:20:07 UTC

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New package magicrect with initial version 1.0.0
Package: magicrect
Title: Construct Magic Rectangles and Nearly Magic Rectangles
Version: 1.0.0
Description: Constructs a magic rectangle or a nearly magic rectangle of order p x q for every order for which one exists, together with existence classification and verification utilities. A magic rectangle arranges the integers 1 to p*q so that all row sums are equal and all column sums are equal; it exists exactly when p and q have the same parity, excluding 2 x 2 and degenerate single-row/column cases (Hagedorn, 1999, <doi:10.1016/S0012-365X(99)00041-2>). When p and q have opposite parity a nearly magic rectangle exists instead, with constant sums along one direction and sums differing by at most one along the other (Chai, Singh and Stufken, 2019, Journal of Combinatorial Designs 27(6), 368-376). Implements the constructions of De Los Reyes, Das, Midha and Vellaisamy (2009) for even by even orders, Chai, Das and Midha (2013) for odd by odd orders, and Chai, Singh and Stufken (2019) for the nearly magic (even by odd) case.
License: MIT + file LICENSE
URL: https://github.com/Arijitray2/magic-rectangles, https://arijitray2.github.io/magic-rectangles/
BugReports: https://github.com/Arijitray2/magic-rectangles/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-10 15:54:51 UTC; root
Author: Arijit Ray [aut, cre]
Maintainer: Arijit Ray <ray.asokekumar@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-19 13:10:13 UTC

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New package hawkinR with initial version 2.0.0
Package: hawkinR
Title: Interface to the 'Hawkin Dynamics' Force Platform API
Version: 2.0.0
Description: Provides a secure and configurable interface to the 'Hawkin Dynamics' API for accessing athlete performance data, tests, and metadata. The package supports profile-based authentication with secure credential storage via the operating system keychain, automatic access token refresh, and region-aware API routing. Designed for reproducible analysis, data synchronization workflows, and production deployment.
URL: https://connect.hawkindynamics.com/r, https://github.com/HawkinDynamics/hawkinR, https://hawkindynamics.github.io/hawkinR/
BugReports: https://github.com/HawkinDynamics/hawkinR/issues
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: S7, dplyr (>= 0.7.4), jsonlite (>= 1.8.7), lubridate (>= 1.9.2), magrittr (>= 2.0.3), rlang (>= 1.1.1), keyring, janitor (>= 2.2.0), stats, httr2 (>= 1.0.1), logger (>= 0.3.0), stringr (>= 1.4.0), tidyselect (>= 1.2.1), progress
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), mockery, withr, crayon, httpuv, arrow
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-11 00:36:23 UTC; LaurenGreen
Author: Lauren Green [aut, cre]
Maintainer: Lauren Green <lauren@hawkindynamics.com>
Repository: CRAN
Date/Publication: 2026-07-19 13:20:02 UTC

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New package ggtwotone with initial version 0.1.0
Package: ggtwotone
Title: Dual-Tone and Contrast-Aware 'ggplot2' Geoms
Version: 0.1.0
Description: Provides dual-stroke and contrast-aware extensions to 'ggplot2', designed for improved visibility and accessibility in complex visualizations. Includes geoms for dual-stroke segments, regression lines, curved annotations, function plots, paths, and adaptive text. Also includes utility functions for computing contrast-aware color pairs and perceptually distinct highlight palettes using Web Content Accessibility Guidelines (WCAG)-based contrast logic.
License: MIT + file LICENSE
URL: https://github.com/bwanniarachchige2/ggtwotone
BugReports: https://github.com/bwanniarachchige2/ggtwotone/issues
Depends: R (>= 4.1.0), ggplot2 (>= 4.0.3)
Imports: colorspace (>= 2.1.2), farver (>= 2.1.2), grDevices (>= 4.5.2), grid (>= 4.5.2), methods (>= 4.5.2), rlang (>= 1.1.7), stats (>= 4.5.2), tidyr (>= 1.3.2), utils (>= 4.5.2)
Suggests: dplyr, knitr, rmarkdown, scales, spelling, testthat (>= 3.0.0), vdiffr
Encoding: UTF-8
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-10 21:29:22 UTC; beenusareena
Author: Beenu Sareena [aut, cre] , Heike Hofmann [aut]
Maintainer: Beenu Sareena <79365709@nebraska.edu>
Repository: CRAN
Date/Publication: 2026-07-19 13:10:18 UTC

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Package GET updated to version 1.0-9 with previous version 1.0-8 dated 2026-07-02

Title: Global Envelopes
Description: Implementation of global envelopes for a set of general d-dimensional vectors T in various applications. A 100(1-alpha)% global envelope is a band bounded by two vectors such that the probability that T falls outside this envelope in any of the d points is equal to alpha. Global means that the probability is controlled simultaneously for all the d elements of the vectors. The global envelopes can be used for graphical Monte Carlo and permutation tests where the test statistic is a multivariate vector or function (e.g. goodness-of-fit testing for point patterns and random sets, functional analysis of variance, functional general linear model, n-sample test of correspondence of distribution functions), for central regions of functional or multivariate data (e.g. outlier detection, functional boxplot) and for global confidence and prediction bands (e.g. confidence band in polynomial regression, Bayesian posterior prediction). See Myllymäki and Mrkvička (2024) <doi:10.18637/jss.v111.i03 [...truncated...]
Author: Mari Myllymaeki [aut, cre] , Tomas Mrkvicka [aut], Mikko Kuronen [ctb], Jiri Dvorak [ctb], Pavel Grabarnik [ctb], Ute Hahn [ctb], Michael Rost [ctb], Henri Seijo [ctb]
Maintainer: Mari Myllymaeki <mari.myllymaki@luke.fi>

Diff between GET versions 1.0-8 dated 2026-07-02 and 1.0-9 dated 2026-07-19

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New package ssBartik with initial version 0.1.1
Package: ssBartik
Title: End-to-End Pipeline for Shift-Share (Bartik) Instrumental Variables
Version: 0.1.1
Description: Construction, diagnostics, estimation, exposure-robust inference and publication-ready visualisation for shift-share (Bartik) instrumental variable designs, in one consistent workflow. Organised around the two identification routes of the modern literature. The exogenous share approach refers to Goldsmith-Pinkham, Sorkin and Swift (2020) <doi:10.1257/aer.20181047> and the exogenous shift approach refers to Borusyak, Hull and Jaravel (2022) <doi:10.1093/restud/rdab030> and Adao, Kolesar and Morales (2019) <doi:10.1093/qje/qjz025>. Wraps 'ShiftShareSE' for exposure-robust inference when available.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2 (>= 3.5.0), grDevices, grid, stats, utils
Suggests: ShiftShareSE, testthat (>= 3.0.0)
URL: https://github.com/takuma1102/ssBartik, https://takuma1102.github.io/ssBartik/
BugReports: https://github.com/takuma1102/ssBartik/issues
NeedsCompilation: no
Packaged: 2026-07-09 18:33:11 UTC; 81809
Author: Takuma Iwasaki [aut, cre]
Maintainer: Takuma Iwasaki <iwasakit@stanford.edu>
Repository: CRAN
Date/Publication: 2026-07-19 12:30:02 UTC

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New package srsbench with initial version 0.1
Package: srsbench
Title: Evaluation Metrics for Spaced Repetition Schedulers
Version: 0.1
Description: Calibration and discrimination metrics for spaced-repetition memory models. Provides the sample-weighted binned root mean squared error (RMSE(bins)) used to rank schedulers in the open spaced repetition benchmark, together with log loss, the area under the ROC curve, and calibration curves.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/chrislongros/srsbench
BugReports: https://github.com/chrislongros/srsbench/issues
Suggests: tinytest
NeedsCompilation: no
Packaged: 2026-07-09 17:53:47 UTC; chris
Author: Christos Longros [aut, cre]
Maintainer: Christos Longros <chris.longros@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-19 12:20:02 UTC

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New package simOutrank with initial version 0.3.0
Package: simOutrank
Title: Outranking-Based Trace Clustering
Version: 0.3.0
Description: Implements outranking-based trace clustering for process mining. Pairwise similarity between traces is assessed on multiple, problem-specific criteria using ELECTRE-III-style partial concordance and discordance indices with indifference, similarity and veto thresholds. The aggregated credibility matrix is then clustered using normalized spectral clustering or hierarchical clustering. Also includes outlier trimming, must-link/cannot-link adjustments, validation indices and diagnostic plots.
License: GPL-3
Encoding: UTF-8
Language: en-GB
Imports: graphics, lpSolve, stats, stringdist
Suggests: bupaR, clValid, knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/pdelias/simOutrank, https://pdelias.github.io/simOutrank/
BugReports: https://github.com/pdelias/simOutrank/issues
NeedsCompilation: no
Packaged: 2026-07-10 13:48:26 UTC; pavlos
Author: Pavlos Delias [aut, cre]
Maintainer: Pavlos Delias <pavlos.delias@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-19 13:00:02 UTC

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New package sddr with initial version 0.1.1
Package: sddr
Title: Spatial Distribution Dynamics
Version: 0.1.1
Description: A tidy toolkit for distribution dynamics: analysing how a cross-sectional distribution of values evolves over time and where it settles in the long run. Provides discrete-time, spatial, rank and local indicator of spatial association ('LISA') Markov transition estimation, ergodic analysis (steady-state, mean first passage and sojourn times), rank-mobility measures (Kendall's tau and the Theta statistic) and Markov mobility indices. Methods use long-format 'id'/'time'/'value' data rather than transition matrices and build on the distribution-dynamics literature (Quah (1993); Rey (2001) <doi:10.1111/j.1538-4632.2001.tb00444.x>). Results are validated for numerical parity against the reference 'giddy' library.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
Suggests: reticulate, spdep, testthat (>= 3.0.0)
URL: https://github.com/mqfarooqi1/sddr
BugReports: https://github.com/mqfarooqi1/sddr/issues
NeedsCompilation: no
Packaged: 2026-07-09 22:34:40 UTC; faroo
Author: Muhammad Farooqi [aut, cre]
Maintainer: Muhammad Farooqi <mqfarooqi@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-19 12:40:02 UTC

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New package Rcppautodiff with initial version 0.1.0
Package: Rcppautodiff
Title: An Interface to the C++ Automatic Differentiation Library 'autodiff'
Version: 0.1.0
Date: 2026-06-27
Maintainer: Satyaprakash Nayak <satyaprakash.nayak@gmail.com>
URL: https://github.com/sn248/Rcppautodiff, https://sn248.github.io/Rcppautodiff/
BugReports: https://github.com/sn248/Rcppautodiff/issues
Description: Provides an interface from R to the 'autodiff' library <https://autodiff.github.io/>, a modern header-only C++ library for automatic differentiation. Unlike numerical differentiation, automatic differentiation computes derivatives of functions to machine precision without truncation error, using either forward or reverse mode. The 'autodiff' header files are shipped with this package so that other R packages can use them by including 'Rcppautodiff' in the 'LinkingTo' field of their 'DESCRIPTION' file. Example programs demonstrate computing derivatives of single-variable and multi-variable functions, gradient vectors, Jacobian matrices and derivatives with respect to parameters, using 'Rcpp' and 'RcppEigen'.
License: GPL (>= 2)
Suggests: knitr, rmarkdown, tinytest
Encoding: UTF-8
Imports: Rcpp (>= 1.0.8.3), RcppEigen
LinkingTo: Rcpp, RcppEigen
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-09 23:00:58 UTC; quantilogy
Author: Satyaprakash Nayak [aut, cre]
Repository: CRAN
Date/Publication: 2026-07-19 12:40:08 UTC

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New package osscontribs with initial version 0.1.0
Package: osscontribs
Title: Commit and Contributor Statistics for Major Open Source Projects
Version: 0.1.0
Description: Over 30 years of daily commit activity and contributor growth for 'FreeBSD', 'OpenBSD', 'NetBSD', and 'PostgreSQL'. Built from cloned git repositories for complete coverage -- not limited by API quotas. Includes daily commits, daily new committers, weekly aggregates, and 'Phabricator' sign-up data. Designed for time series analysis, growth modeling, and cross-project comparison. Contains no personal data.
License: CC0
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5.0)
URL: https://github.com/chrislongros/osscontribs
BugReports: https://github.com/chrislongros/osscontribs/issues
NeedsCompilation: no
Packaged: 2026-07-09 17:45:05 UTC; root
Author: Christos Longros [aut, cre]
Maintainer: Christos Longros <chris.longros@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-19 12:30:09 UTC

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New package blueterra with initial version 0.1.0
Package: blueterra
Title: Process-Oriented Geomorphometry for Submerged Terrain
Version: 0.1.0
Description: Derives, organizes, summarizes, and visualizes terrain metrics from bathymetric and elevation rasters for submerged-landscape geomorphometry. Tools support terra-based raster preparation, slope and aspect decomposition, terrain position, rugosity, curvature, depth-band summaries, transect extraction, isobath-corridor analysis, and model-ready summaries for seafloor classification, habitat mapping, shelf-margin analysis, and spatial modeling. Methodological context for geomorphometric terrain analysis is provided by Lindsay (2016) <doi:10.1016/j.cageo.2016.07.003>.
License: MIT + file LICENSE
URL: https://el-cordero.github.io/blueterra/, https://github.com/el-cordero/blueterra
BugReports: https://github.com/el-cordero/blueterra/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: cli, dplyr, rlang, stats, terra, tibble, utils
Suggests: exactextractr, ggplot2, knitr, lintr, pkgdown, rmarkdown, sf, testthat (>= 3.0.0), units, xml2
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-10 14:52:07 UTC; ec
Author: Elvin Cordero [aut, cre], SeaMount Geospatial Labs [cph]
Maintainer: Elvin Cordero <elvin.cordero@seamountgeo.com>
Repository: CRAN
Date/Publication: 2026-07-19 13:00:07 UTC

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Package mbmixture updated to version 0.8 with previous version 0.6 dated 2024-11-27

Title: Microbiome Mixture Analysis
Description: Evaluate whether a microbiome sample is a mixture of two samples, by fitting a model for the number of read counts as a function of single nucleotide polymorphism (SNP) allele and the genotypes of two potential source samples. Lobo et al. (2021) <doi:10.1093/g3journal/jkab308>.
Author: Karl W Broman [aut, cre]
Maintainer: Karl W Broman <broman@wisc.edu>

Diff between mbmixture versions 0.6 dated 2024-11-27 and 0.8 dated 2026-07-19

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Package CMTFtoolbox (with last version 1.0.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2025-08-22 1.0.1

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Package semlrtp updated to version 0.1.2 with previous version 0.1.1 dated 2024-06-20

Title: Likelihood Ratio Test P-Values for Structural Equation Models
Description: Computes likelihood ratio test (LRT) p-values for free parameters in a structural equation model. Currently supports models fitted by the 'lavaan' package by Rosseel (2012) <doi:10.18637/jss.v048.i02>.
Author: Shu Fai Cheung [aut, cre] , Mark Hok Chio Lai [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

Diff between semlrtp versions 0.1.1 dated 2024-06-20 and 0.1.2 dated 2026-07-19

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Package pslr updated to version 1.1.1 with previous version 1.0.1 dated 2026-06-22

Title: Public Suffix List Engine
Description: A focused implementation of the Public Suffix List (PSL). Bundles a reproducible, pinned PSL snapshot and implements the official prevailing-rule algorithm to answer public-suffix (eTLD) and registrable-domain (eTLD+1) queries. Distinguishes ICANN and PRIVATE rule sections, accepts Unicode and ASCII hostnames via 'punycoder' canonicalization, and supports an explicit, validated offline refresh path. The matcher is compiled with 'cpp11' and requires no external system library. Used as the PSL engine by the 'rurl' package.
Author: Bart Turczynski [aut, cre]
Maintainer: Bart Turczynski <bartek@turczynski.pl>

Diff between pslr versions 1.0.1 dated 2026-06-22 and 1.1.1 dated 2026-07-19

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Package ErrorTracer readmission to version 1.2.1 with previous version 1.1.0 dated 2026-05-25

Title: Bayesian Error Propagation and Forecast Uncertainty Decomposition
Description: Provides a full pipeline from regularized or standard regression models (elastic net, linear models, generalized linear models, random forests) to informed Bayesian priors, structured forecast uncertainty decomposition (parameter / environmental / residual, plus a temporal component when the model carries an autocorrelation term), and forecast shelf life analysis (the quantification of when a forecast becomes uninformative). Designed for ecological and genomic forecasting with climate or environmental covariates. Methods build on Bürkner (2017) <doi:10.18637/jss.v080.i01> for Bayesian regression via 'Stan', Friedman, Hastie, and Tibshirani (2010) <doi:10.18637/jss.v033.i01> for elastic net regularization, Wright and Ziegler (2017) <doi:10.18637/jss.v077.i01> for random forests, and Vehtari, Gelman, and Gabry (2017) <doi:10.1007/s11222-016-9696-4> for leave-one-out cross-validation.
Author: Luis Javier Madrigal-Roca [aut, cre], John Kelly [aut]
Maintainer: Luis Javier Madrigal-Roca <madrigalrocalj@yahoo.com>

This is a re-admission after prior archival of version 1.1.0 dated 2026-05-25

Diff between ErrorTracer versions 1.1.0 dated 2026-05-25 and 1.2.1 dated 2026-07-19

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Package BigDataStatMeth updated to version 2.0.4 with previous version 2.0.3 dated 2026-07-06

Title: Scalable Statistical Computing with HDF5-Backed Matrices
Description: A framework for 'scalable' statistical computing on large on-disk matrices stored in 'HDF5' files. It provides efficient block-wise implementations of core linear-algebra operations (matrix multiplication, SVD, PCA, and QR decomposition) written in C++ and R, along with building blocks from which higher-level multivariate methods such as canonical correlation analysis can be constructed. These building blocks are designed not only for direct use, but also as foundational components for developing new statistical methods that must operate on datasets too large to fit in memory. The package supports data provided either as 'HDF5' files or standard R objects, and is intended for high-dimensional applications such as 'omics' and precision-medicine research.
Author: Dolors Pelegri-Siso [aut, cre] , Juan R. Gonzalez [aut]
Maintainer: Dolors Pelegri-Siso <dolors.pelegri@isglobal.org>

Diff between BigDataStatMeth versions 2.0.3 dated 2026-07-06 and 2.0.4 dated 2026-07-19

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Package aptg readmission to version 0.4.0 with previous version 0.1.1 dated 2021-01-10

Title: Automatic Phylogenetic Tree Generator
Description: Generates phylogenetic trees and distance matrices from a list of taxon names, or from a higher taxon expanded down to a chosen lower rank. Trees are obtained as induced subtrees of the Open Tree of Life synthetic tree using the 'rotl' package (Michonneau, Brown and Winter, 2016, <doi:10.1111/2041-210X.12593>). Expansion of a higher taxon to its descendants uses 'taxize' (Chamberlain and Szocs, 2013, <doi:10.12688/f1000research.2-191.v2>).
Author: Christophe Benjamin [aut, cre]
Maintainer: Christophe Benjamin <christophe.benjamin@protonmail.com>

This is a re-admission after prior archival of version 0.1.1 dated 2021-01-10

Diff between aptg versions 0.1.1 dated 2021-01-10 and 0.4.0 dated 2026-07-19

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More information about aptg at CRAN
Permanent link

Package rxode2 updated to version 5.1.3 with previous version 5.1.2 dated 2026-06-02

Title: Facilities for Simulating from ODE-Based Models
Description: Facilities for running simulations from ordinary differential equation ('ODE') models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The 'VODE' and 'LSODA' are in the public domain. The information is available in the inst/COPYRIGHTS.
Author: Matthew L. Fidler [aut, cre] , Wenping Wang [aut], Alan Hindmarsh [ctb], Arun Srinivasan [ctb], Awad H. Al-Mohy [ctb], Bill Denney [ctb] , Cleve Moler [ctb], Daniel Kaschek [ctb], David Cooley [ctb], Drew Schmidt [ctb], Ernst Hairer [ctb], Gabriel St [...truncated...]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

Diff between rxode2 versions 5.1.2 dated 2026-06-02 and 5.1.3 dated 2026-07-19

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Package pkmapr updated to version 1.4.0 with previous version 1.2.1 dated 2026-05-13

Title: Pakistan Spatial Data Toolkit
Description: Provides a tidy interface to Pakistan's official administrative boundary data from the United Nations Office for the Coordination of Humanitarian Affairs (OCHA). Spatial data at country, province, district, and tehsil levels are embedded in the package as 'sf' objects compatible with the 'tidyverse' and geospatial ecosystem. Includes utilities for geographic dictionary lookup, coordinate reference system selection, spatial measurement, and neighbour structure construction for use with 'spdep', 'ggplot2', 'leaflet', and related packages.
Author: Abdullah Umer [aut, cre]
Maintainer: Abdullah Umer <abdullahumer1101@gmail.com>

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Package ltc updated to version 0.4.0 with previous version 0.3.0 dated 2026-01-16

Title: Collection of Artistic and Nature-Inspired Color Palettes
Description: Offers a variety of color palettes inspired by art, nature, and personal inspirations. Each palette is accompanied by a unique backstory, enriching the understanding and significance of the colors.
Author: Loukas Theodosiou [aut, cre]
Maintainer: Loukas Theodosiou <theodosiou@evolbio.mpg.de>

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Package tablet updated to version 0.9.1 with previous version 0.8.1 dated 2026-06-05

Title: Tabulate Descriptive Statistics in Multiple Formats
Description: Creates a table of descriptive statistics for factor and numeric columns in a data frame. Displays these by groups, if any. Highly customizable, with support for 'html' and 'pdf' provided by 'kableExtra'. Respects original column order, column labels, and factor level order. See ?tablet.data.frame and vignettes.
Author: Tim Bergsma [aut, cre]
Maintainer: Tim Bergsma <bergsmat@gmail.com>

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Package sps updated to version 0.6.4 with previous version 0.6.3 dated 2025-11-18

Title: Sequential Poisson Sampling
Description: Sequential Poisson sampling is a variation of Poisson sampling for drawing probability-proportional-to-size samples with a given number of units, and is commonly used for price-index surveys. This package gives functions to draw stratified sequential Poisson samples according to the method by Ohlsson (1998, ISSN:0282-423X), as well as other order sample designs by Rosén (1997, <doi:10.1016/S0378-3758(96)00186-3>), and generate approximate bootstrap replicate weights according to the generalized bootstrap method by Beaumont and Patak (2012, <doi:10.1111/j.1751-5823.2011.00166.x>).
Author: Steve Martin [aut, cre, cph] , Justin Francis [ctb]
Maintainer: Steve Martin <marberts@protonmail.com>

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Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.