Wed, 29 Apr 2026

Package saros updated to version 1.6.2 with previous version 1.6.1 dated 2026-01-27

Title: Semi-Automatic Reporting of Ordinary Surveys
Description: Offers a systematic way for conditional reporting of figures and tables for many (and bivariate combinations of) variables, typically from survey data. Contains interactive 'ggiraph'-based (<https://CRAN.R-project.org/package=ggiraph>) plotting functions and data frame-based summary tables (bivariate significance tests, frequencies/proportions, unique open ended responses, etc) with many arguments for customization, and extensions possible. Uses a global options() system for neatly reducing redundant code. Also contains tools for immediate saving of objects and returning a hashed link to the object, useful for creating download links to high resolution images upon rendering in 'Quarto'. Suitable for highly customized reports, primarily intended for survey research.
Author: Stephan Daus [aut, cre, cph] , Julia Silge [ctb] , David Robinson [ctb] , Nordic Institute for The Studies of Innovation, Research and Education [fnd], Kristiania University College [fnd]
Maintainer: Stephan Daus <stephus.daus@gmail.com>

Diff between saros versions 1.6.1 dated 2026-01-27 and 1.6.2 dated 2026-04-29

 saros-1.6.1/saros/R/deprecated.R                                                                                 |only
 saros-1.6.1/saros/R/make_content.cat_freq_plot_docx.R                                                            |only
 saros-1.6.1/saros/R/make_content.cat_prop_plot_docx.R                                                            |only
 saros-1.6.1/saros/R/tabular_read.R                                                                               |only
 saros-1.6.1/saros/R/tabular_write.R                                                                              |only
 saros-1.6.1/saros/man/embed_cat_prop_plot.Rd                                                                     |only
 saros-1.6.1/saros/man/embed_cat_table.Rd                                                                         |only
 saros-1.6.1/saros/man/embed_chr_table_html.Rd                                                                    |only
 saros-1.6.1/saros/man/filter_crowd_data.Rd                                                                       |only
 saros-1.6.1/saros/man/generate_crowd_output.Rd                                                                   |only
 saros-1.6.1/saros/man/handle_crowd_columns.Rd                                                                    |only
 saros-1.6.1/saros/man/n_rng2.Rd                                                                                  |only
 saros-1.6.1/saros/man/summarize_data_by_type.Rd                                                                  |only
 saros-1.6.1/saros/man/tabular_read.Rd                                                                            |only
 saros-1.6.1/saros/man/tabular_write.Rd                                                                           |only
 saros-1.6.1/saros/tests/testthat/test-tabular-read.R                                                             |only
 saros-1.6.1/saros/tests/testthat/test-tabular-write.R                                                            |only
 saros-1.6.2/saros/DESCRIPTION                                                                                    |   16 
 saros-1.6.2/saros/MD5                                                                                            |  247 +++-
 saros-1.6.2/saros/NAMESPACE                                                                                      |   29 
 saros-1.6.2/saros/NEWS.md                                                                                        |   57 +
 saros-1.6.2/saros/R/check_quarto_website_index.R                                                                 |only
 saros-1.6.2/saros/R/checks.R                                                                                     |  263 ++++-
 saros-1.6.2/saros/R/colour.R                                                                                     |    2 
 saros-1.6.2/saros/R/crowd_output.R                                                                               |only
 saros-1.6.2/saros/R/crowd_plots_as_docx.R                                                                        |only
 saros-1.6.2/saros/R/crowd_plots_as_officer.R                                                                     |only
 saros-1.6.2/saros/R/crowd_plots_as_tabset.R                                                                      |   45 
 saros-1.6.2/saros/R/crowd_tables_as_tabset.R                                                                     |only
 saros-1.6.2/saros/R/fig_height_h_barchart.R                                                                      |  498 +++++++++-
 saros-1.6.2/saros/R/get_fig_title_suffix_from_ggplot.R                                                           |   71 +
 saros-1.6.2/saros/R/get_main_question.R                                                                          |    8 
 saros-1.6.2/saros/R/ggsaver.R                                                                                    |  127 ++
 saros-1.6.2/saros/R/girafe-utils.R                                                                               |  144 ++
 saros-1.6.2/saros/R/girafe.R                                                                                     |  114 --
 saros-1.6.2/saros/R/insert_text.R                                                                                |only
 saros-1.6.2/saros/R/make_content.cat_plot_docx.R                                                                 |only
 saros-1.6.2/saros/R/make_content.cat_plot_html.R                                                                 |   10 
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 saros-1.6.2/saros/R/make_content.cat_table_html.R                                                                |   18 
 saros-1.6.2/saros/R/make_content.chr_table_docx.R                                                                |only
 saros-1.6.2/saros/R/make_content.chr_table_html.R                                                                |    2 
 saros-1.6.2/saros/R/make_content.int_plot_html.R                                                                 |   39 
 saros-1.6.2/saros/R/make_content.int_table_html.R                                                                |    2 
 saros-1.6.2/saros/R/make_content.sigtest_table_html.R                                                            |    2 
 saros-1.6.2/saros/R/make_file_links.R                                                                            |only
 saros-1.6.2/saros/R/make_link.R                                                                                  |   19 
 saros-1.6.2/saros/R/makeme.R                                                                                     |   20 
 saros-1.6.2/saros/R/makeme_helpers.R                                                                             |  376 ++-----
 saros-1.6.2/saros/R/n_rng.R                                                                                      |  129 ++
 saros-1.6.2/saros/R/output_format.R                                                                              |only
 saros-1.6.2/saros/R/quarto_post_render.R                                                                         |only
 saros-1.6.2/saros/R/simple_desciptives.R                                                                         |    2 
 saros-1.6.2/saros/R/sorting_utils.R                                                                              |  166 ++-
 saros-1.6.2/saros/R/summarize_cat_cat_data.R                                                                     |   50 -
 saros-1.6.2/saros/R/txt_from_cat_mesos_plots.R                                                                   |  164 ++-
 saros-1.6.2/saros/R/utils.R                                                                                      |  135 ++
 saros-1.6.2/saros/R/validate_makeme_options.R                                                                    |  111 --
 saros-1.6.2/saros/R/zzz.R                                                                                        |   15 
 saros-1.6.2/saros/inst/WORDLIST                                                                                  |   41 
 saros-1.6.2/saros/inst/doc/for_chapter_author.html                                                               |    2 
 saros-1.6.2/saros/inst/doc/for_developers.html                                                                   |    2 
 saros-1.6.2/saros/inst/doc/for_readers.html                                                                      |    2 
 saros-1.6.2/saros/inst/doc/saros_name.html                                                                       |    2 
 saros-1.6.2/saros/man/attach_dep_label_prefix.Rd                                                                 |only
 saros-1.6.2/saros/man/auto_detect_makeme_type.Rd                                                                 |    3 
 saros-1.6.2/saros/man/build_custom_palette.Rd                                                                    |only
 saros-1.6.2/saros/man/check_quarto_website_index.Rd                                                              |only
 saros-1.6.2/saros/man/compute_full_category_levels.Rd                                                            |only
 saros-1.6.2/saros/man/count_max_wrapped_lines.Rd                                                                 |only
 saros-1.6.2/saros/man/crowd_output.Rd                                                                            |only
 saros-1.6.2/saros/man/crowd_plots_as_docx.Rd                                                                     |only
 saros-1.6.2/saros/man/crowd_plots_as_officer.Rd                                                                  |only
 saros-1.6.2/saros/man/crowd_plots_as_tabset.Rd                                                                   |   10 
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 saros-1.6.2/saros/man/detect_ghostscript.Rd                                                                      |only
 saros-1.6.2/saros/man/dot-n_rng2_impl.Rd                                                                         |only
 saros-1.6.2/saros/man/escape_for_regex.Rd                                                                        |only
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 saros-1.6.2/saros/man/escape_markdown_link.Rd                                                                    |only
 saros-1.6.2/saros/man/extract_document_title.Rd                                                                  |only
 saros-1.6.2/saros/man/extract_docx_title.Rd                                                                      |only
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 saros-1.6.2/saros/man/extract_pdf_title.Rd                                                                       |only
 saros-1.6.2/saros/man/extract_pptx_title.Rd                                                                      |only
 saros-1.6.2/saros/man/fig_height_h_barchart.Rd                                                                   |    5 
 saros-1.6.2/saros/man/fig_height_h_barchart2.Rd                                                                  |   58 +
 saros-1.6.2/saros/man/find_matching_docx.Rd                                                                      |only
 saros-1.6.2/saros/man/generate_data_summary.Rd                                                                   |    3 
 saros-1.6.2/saros/man/get_dep_label_prefix.Rd                                                                    |only
 saros-1.6.2/saros/man/get_fig_title_suffix_from_ggplot.Rd                                                        |   16 
 saros-1.6.2/saros/man/get_fill_levels.Rd                                                                         |only
 saros-1.6.2/saros/man/ggsaver.Rd                                                                                 |   81 +
 saros-1.6.2/saros/man/girafe.Rd                                                                                  |    5 
 saros-1.6.2/saros/man/hex_bw.Rd                                                                                  |    2 
 saros-1.6.2/saros/man/insert_text.Rd                                                                             |only
 saros-1.6.2/saros/man/is_html_output_or_officer.Rd                                                               |only
 saros-1.6.2/saros/man/is_int_plot_html.Rd                                                                        |only
 saros-1.6.2/saros/man/is_rendering.Rd                                                                            |only
 saros-1.6.2/saros/man/make_file_links.Rd                                                                         |only
 saros-1.6.2/saros/man/makeme.Rd                                                                                  |   16 
 saros-1.6.2/saros/man/n_range2.Rd                                                                                |   37 
 saros-1.6.2/saros/man/output_format.Rd                                                                           |only
 saros-1.6.2/saros/man/print.saros_officer_plots.Rd                                                               |only
 saros-1.6.2/saros/man/process_crowd_data.Rd                                                                      |    3 
 saros-1.6.2/saros/man/process_single_pdf_post_render.Rd                                                          |only
 saros-1.6.2/saros/man/quarto_pdf_post_render.Rd                                                                  |only
 saros-1.6.2/saros/man/read_quarto_post_render_input.Rd                                                           |only
 saros-1.6.2/saros/man/resolve_category_colors.Rd                                                                 |only
 saros-1.6.2/saros/man/safe_file_write.Rd                                                                         |only
 saros-1.6.2/saros/man/set_pdf_metadata_title.Rd                                                                  |only
 saros-1.6.2/saros/man/summarize_cat_cat_data.Rd                                                                  |    3 
 saros-1.6.2/saros/man/txt_from_cat_mesos_plots.Rd                                                                |   19 
 saros-1.6.2/saros/man/update_html_pdf_link_text.Rd                                                               |only
 saros-1.6.2/saros/man/validate_bool.Rd                                                                           |only
 saros-1.6.2/saros/man/validate_bool_rule.Rd                                                                      |only
 saros-1.6.2/saros/man/validate_character_vector_rule.Rd                                                          |only
 saros-1.6.2/saros/man/validate_double.Rd                                                                         |only
 saros-1.6.2/saros/man/validate_double_rule.Rd                                                                    |only
 saros-1.6.2/saros/man/validate_integerish.Rd                                                                     |only
 saros-1.6.2/saros/man/validate_integerish_rule.Rd                                                                |only
 saros-1.6.2/saros/man/validate_palette_params.Rd                                                                 |only
 saros-1.6.2/saros/man/validate_params.Rd                                                                         |only
 saros-1.6.2/saros/man/validate_sort_category.Rd                                                                  |only
 saros-1.6.2/saros/man/validate_sort_column.Rd                                                                    |only
 saros-1.6.2/saros/man/validate_string.Rd                                                                         |only
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 saros-1.6.2/saros/tests/testthat/setup.R                                                                         |only
 saros-1.6.2/saros/tests/testthat/test-add_n_to_label.R                                                           |   34 
 saros-1.6.2/saros/tests/testthat/test-check_quarto_website_index.R                                               |only
 saros-1.6.2/saros/tests/testthat/test-checks.R                                                                   |  153 +++
 saros-1.6.2/saros/tests/testthat/test-crowd_output.R                                                             |only
 saros-1.6.2/saros/tests/testthat/test-crowd_plots_as_docx.R                                                      |only
 saros-1.6.2/saros/tests/testthat/test-crowd_plots_as_officer.R                                                   |only
 saros-1.6.2/saros/tests/testthat/test-crowd_plots_as_tabset.R                                                    |   17 
 saros-1.6.2/saros/tests/testthat/test-crowd_tables_as_tabset.R                                                   |only
 saros-1.6.2/saros/tests/testthat/test-dep_label_prefix.R                                                         |only
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 saros-1.6.2/saros/tests/testthat/test-fig_height_h_barchart.R                                                    |  202 ++++
 saros-1.6.2/saros/tests/testthat/test-get_fig_title_suffix_from_ggplot.R                                         |  349 +++++++
 saros-1.6.2/saros/tests/testthat/test-get_main_question.R                                                        |   10 
 saros-1.6.2/saros/tests/testthat/test-girafe-custom-palette.R                                                    |   42 
 saros-1.6.2/saros/tests/testthat/test-insert_text.R                                                              |only
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 saros-1.6.2/saros/tests/testthat/test-make_content.cat_table_html.R                                              |   13 
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 saros-1.6.2/saros/tests/testthat/test-make_content.int_table_html.R                                              |   40 
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 saros-1.6.2/saros/tests/testthat/test-make_link.R                                                                |   61 +
 saros-1.6.2/saros/tests/testthat/test-makeme-int-plot-html-snapshots.R                                           |    4 
 saros-1.6.2/saros/tests/testthat/test-makeme-mesos-color-consistency.R                                           |only
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 saros-1.6.2/saros/tests/testthat/test-txt_from_cat_mesos_plots.R                                                 |  178 +++
 saros-1.6.2/saros/tests/testthat/test-utils-ggsaver.R                                                            |  111 ++
 saros-1.6.2/saros/tests/testthat/test-utils-makeme_helpers.R                                                     |  209 ++++
 saros-1.6.2/saros/tests/testthat/test-validate_sort_helpers.R                                                    |only
 173 files changed, 4185 insertions(+), 910 deletions(-)

More information about saros at CRAN
Permanent link

Package ocs4R updated to version 0.3.1 with previous version 0.3 dated 2025-09-01

Title: Interface to Open Collaboration Services (OCS) REST API
Description: Provides an Interface to Open Collaboration Services 'OCS' (<https://www.open-collaboration-services.org/>) REST API.
Author: Emmanuel Blondel [aut, cre]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between ocs4R versions 0.3 dated 2025-09-01 and 0.3.1 dated 2026-04-29

 DESCRIPTION             |    8 ++++----
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 R/ocsApiWebdavManager.R |   10 +++++-----
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 5 files changed, 18 insertions(+), 14 deletions(-)

More information about ocs4R at CRAN
Permanent link

Package HVT updated to version 26.1.3 with previous version 26.1.2 dated 2026-02-05

Title: Constructing Hierarchical Voronoi Tessellations and Overlay Heatmaps for Data Analysis
Description: Facilitates building topology preserving maps for data analysis.
Author: Zubin Dowlaty [aut, cre], Mu Sigma, Inc. [cph]
Maintainer: Zubin Dowlaty <zubin.dowlaty@mu-sigma.com>

Diff between HVT versions 26.1.2 dated 2026-02-05 and 26.1.3 dated 2026-04-29

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More information about HVT at CRAN
Permanent link

Package FAfA updated to version 1.0 with previous version 0.5 dated 2025-12-15

Title: Factor Analysis for All
Description: Provides a comprehensive Shiny-based graphical user interface for conducting a wide range of factor analysis procedures. 'FAfA' (Factor Analysis for All) guides users through data uploading, assumption checking (descriptives, collinearity, multivariate normality, outliers), data wrangling (variable exclusion, data splitting), factor retention analysis (e.g., Parallel Analysis, Hull method, EGA), Exploratory Factor Analysis (EFA) with various rotation and extraction methods, Confirmatory Factor Analysis (CFA) for model testing, Reliability Analysis (e.g., Cronbach's Alpha, McDonald's Omega), Measurement Invariance testing across groups, and item weighting techniques. The application leverages established R packages such as 'lavaan' and 'psych' to perform these analyses, offering an accessible platform for researchers and students. Results are presented in user-friendly tables and plots, with options for downloading outputs.
Author: Abdullah Faruk KILIC [aut, cre], Ahmet Caliskan [aut]
Maintainer: Abdullah Faruk KILIC <afarukkilic@trakya.edu.tr>

Diff between FAfA versions 0.5 dated 2025-12-15 and 1.0 dated 2026-04-29

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Package splitGraph updated to version 0.2.0 with previous version 0.1.0 dated 2026-04-21

Title: Dataset Dependency Graphs for Leakage-Aware Evaluation
Description: Represent biomedical dataset structure as typed dependency graphs so that sample provenance, repeated-measure structure, study design, batch effects, and temporal relationships are explicit and inspectable. Validates dataset structure, detects sample-level overlap, derives deterministic split constraints, and produces a tool-agnostic split specification for leakage-aware evaluation workflows.
Author: Selcuk Korkmaz [aut, cre]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

Diff between splitGraph versions 0.1.0 dated 2026-04-21 and 0.2.0 dated 2026-04-29

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Package ggpicrust2 updated to version 2.5.14 with previous version 2.5.12 dated 2026-04-10

Title: Make 'PICRUSt2' Output Analysis and Visualization Easier
Description: Provides a convenient way to analyze and visualize 'PICRUSt2' output with pre-defined plots and functions. Allows for generating statistical plots about microbiome functional predictions and offers customization options. Features a one-click option for creating publication-level plots, saving time and effort in producing professional-grade figures. Streamlines the 'PICRUSt2' analysis and visualization process. For more details, see Yang et al. (2023) <doi:10.1093/bioinformatics/btad470>.
Author: Chen Yang [aut, cre], Liangliang Zhang [aut]
Maintainer: Chen Yang <cafferychen7850@gmail.com>

Diff between ggpicrust2 versions 2.5.12 dated 2026-04-10 and 2.5.14 dated 2026-04-29

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Package bioLeak updated to version 0.3.7 with previous version 0.3.6 dated 2026-04-11

Title: Leakage-Safe Modeling and Auditing for Genomic and Clinical Data
Description: Prevents and detects information leakage in biomedical machine learning. Provides leakage-resistant split policies (subject-grouped, batch-blocked, study leave-out, time-ordered), guarded preprocessing (train-only imputation, normalization, filtering, feature selection), cross-validated fitting with common learners, permutation-gap auditing, batch and fold association tests, and duplicate detection.
Author: Selcuk Korkmaz [aut, cre]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

Diff between bioLeak versions 0.3.6 dated 2026-04-11 and 0.3.7 dated 2026-04-29

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New package shinyseo with initial version 0.1.0
Package: shinyseo
Title: Search Engine Optimization and Social Metadata Helpers for 'Shiny' Apps
Version: 0.1.0
Author: Rolf Lindgren [aut, cre]
Maintainer: Rolf Lindgren <rolf@grendel.no>
Description: Utilities for injecting search engine optimization (SEO), Open Graph, Twitter, and schema.org metadata into 'Shiny' applications from YAML files or named lists.
License: GPL (>= 3)
Encoding: UTF-8
Imports: shiny, yaml, jsonlite
Suggests: htmltools, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-29 07:50:52 UTC; roffe
Repository: CRAN
Date/Publication: 2026-04-29 19:10:03 UTC

More information about shinyseo at CRAN
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New package opencis with initial version 0.1.0
Package: opencis
Title: Import Data from Spanish Sociological Research Center (CIS)
Version: 0.1.0
Description: Search and import data directly to R from the Spanish Sociological Research Center (CIS) <https://www.cis.es/inicio>. The CIS is a public institution that conducts electoral and sociological research studies on the Spanish society. The CIS has a large database of surveys that can be accessed through its website. The package includes functions to search for surveys, survey questions and timeseries, and import the data directly to R.
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5.0)
Imports: httr (>= 1.4.7), tibble (>= 3.0.0), purrr (>= 1.0.0), haven (>= 2.5.3), magrittr (>= 2.0.0), rvest (>= 1.0.0), stringr (>= 1.0.0), memoise (>= 2.0.0)
URL: https://opencis.spainelectoralproject.com, https://github.com/hmeleiro/opencis
BugReports: https://github.com/hmeleiro/opencis/issues
Suggests: knitr, testthat (>= 3.0.0), rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-29 07:47:02 UTC; hmele
Author: Hector Meleiro [aut, cre]
Maintainer: Hector Meleiro <hmeleiros@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 19:10:07 UTC

More information about opencis at CRAN
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New package EasyStat with initial version 2.0.0
Package: EasyStat
Title: Automated Statistical Analysis, Visualization and Multi-Format Narrative Reporting
Version: 2.0.0
Date: 2026-04-28
Description: Provides automated statistical analysis, rich visualization, and multi-format narrative reporting through a unified pipeline. Descriptive statistics are available via easy_describe() and easy_group_summary(). Inferential tests with plain-language narratives are provided by easy_regression(), easy_logistic_regression(), easy_ttest(), easy_anova(), easy_chisq(), easy_ztest(), easy_ftest(), easy_correlation(), easy_wilcox(), and easy_kruskal(). Publication-ready 'ggplot2' visualizations are produced by easy_histogram(), easy_boxplot(), easy_scatter(), easy_barplot(), easy_qqplot(), easy_density(), easy_correlation_heatmap(), easy_regression_diagnostics(), and easy_odds_ratio_plot(). The core Narrative Generator Module applies conditional logic to extracted p-values, effect sizes, and model-fit metrics to produce statistically sound, human-readable explanations automatically. Results render in the 'RStudio' Viewer (HTML), the console (ASCII), or export directly to Microsoft Word via 'flext [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: broom (>= 1.0.0), glue (>= 1.6.0), ggplot2 (>= 3.4.0), knitr (>= 1.40), kableExtra (>= 1.3.4), htmltools (>= 0.5.0), flextable (>= 0.9.0), officer (>= 0.6.0), stats, utils, tools
Suggests: testthat (>= 3.0.0), scales (>= 1.2.0), rmarkdown (>= 2.0)
VignetteBuilder: knitr
URL: https://github.com/itsmdivakaran/Easystat, https://itsmdivakaran.github.io/Easystat/
BugReports: https://github.com/itsmdivakaran/Easystat/issues
NeedsCompilation: no
Packaged: 2026-04-29 08:21:54 UTC; maheshdivakaran
Author: Mahesh Divakaran [aut, cre] , Gunjan Singh [aut] , Jayadevan Shreedharan [aut]
Maintainer: Mahesh Divakaran <imaheshdivakaran@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 19:10:14 UTC

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Package connectapi updated to version 0.12.1 with previous version 0.12.0 dated 2026-04-13

Title: Utilities for Interacting with the 'Posit Connect' Server API
Description: Provides a helpful 'R6' class and methods for interacting with the 'Posit Connect' Server API along with some meaningful utility functions for regular tasks. API documentation varies by 'Posit Connect' installation and version, but the latest documentation is also hosted publicly at <https://docs.posit.co/connect/api/>.
Author: Kara Woo [aut, cre], Toph Allen [aut], Neal Richardson [aut], Sean Lopp [aut], Cole Arendt [aut], Posit, PBC [cph, fnd]
Maintainer: Kara Woo <kara.woo@posit.co>

Diff between connectapi versions 0.12.0 dated 2026-04-13 and 0.12.1 dated 2026-04-29

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 MD5                           |   12 ++++++------
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New package BivLaplaceRL with initial version 0.2.0
Package: BivLaplaceRL
Title: Bivariate Laplace Transforms, Stochastic Orders, and Entropy Measures in Reliability
Version: 0.2.0
Description: Implements methods for bivariate Laplace transforms of residual lives and reversed residual lives, associated stochastic ordering concepts, and dynamic entropy measures for reliability analysis. The package covers three primary research areas: (1) Bivariate Laplace transform of residual lives and stochastic comparisons based on the bivariate Laplace transform order of residual lives (BLt-rl), including weak bivariate hazard rate, mean residual life, and relative mean residual life orders, nonparametric estimation, and NBUHR/NWUHR aging class characterisation (Jayalekshmi, Rajesh, and Nair, 2022, <doi:10.1080/03610926.2022.2085874>); (2) Bivariate Laplace transform order of reversed residual lives (BLt-Rrl), reversed hazard gradient, reversed mean residual life, and the associated stochastic orders (weak bivariate reversed hazard rate, weak bivariate reversed mean residual life); (3) Residual entropy generating function, a dynamic version of Golomb's (1966) information generating [...truncated...]
License: GPL-3
URL: https://itsmdivakaran.github.io/BivLaplaceRL/, https://github.com/itsmdivakaran/BivLaplaceRL
BugReports: https://github.com/itsmdivakaran/BivLaplaceRL/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, MASS, survival, covr
VignetteBuilder: knitr
NeedsCompilation: yes
Language: en-GB
Packaged: 2026-04-29 07:42:33 UTC; maheshdivakaran
Author: Mahesh Divakaran [aut, cre] , S. Jayalekshmi [aut] , G. Rajesh [aut] , N. Unnikrishnan Nair [aut] , Smitha S. [aut]
Maintainer: Mahesh Divakaran <imaheshdivakaran@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 19:10:20 UTC

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Package pequod readmission to version 0.1.1 with previous version 0.0-5 dated 2016-02-28

Title: Colour Palette for Reading and Code, Inspired by Moby-Dick
Description: The Pequod colour palette, named after the whaler in Herman Melville's Moby-Dick. Provides the full Log base scale from warm paper (Log 50) to deep ink (Log 950), eight crew accent hues with light and dark variants, and 'ggplot2' scales for discrete and continuous mapping. Designed for long-form reading and code, with low saturation and a consistent earth- pigment register. Full design rationale and accessibility notes at <https://tiagojct.eu/projects/pequod/>.
Author: Tiago Jacinto [aut, cre]
Maintainer: Tiago Jacinto <tiagojacinto@med.up.pt>

This is a re-admission after prior archival of version 0.0-5 dated 2016-02-28

Diff between pequod versions 0.0-5 dated 2016-02-28 and 0.1.1 dated 2026-04-29

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New package mrtsSphere with initial version 0.1.2
Package: mrtsSphere
Title: Multi-Resolution Thin-Plate Splines on the Sphere
Version: 0.1.2
Description: Constructs multi-resolution thin-plate spline basis functions on the sphere for use in spatial regression and large-scale spatial prediction problems. Implements the basis system described in Huang, Huang, and Ing (2025) "Multi-Resolution Spatial Methods on the Sphere: Efficient Prediction for Global Data", Environmetrics, <doi:10.1002/env.70092>. Heavy computations are written in 'C++' via 'Rcpp' with optional 'OpenMP' parallelism.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: Rcpp, RSpectra
LinkingTo: Rcpp, RcppEigen, RcppNumerical
Suggests: fields, testthat (>= 3.0.0)
SystemRequirements: GNU make
URL: https://github.com/STLABTW/multi-resolution-sphere
BugReports: https://github.com/STLABTW/multi-resolution-sphere/issues
NeedsCompilation: yes
Packaged: 2026-04-28 23:07:49 UTC; hyhuang
Author: Hao-Yun Huang [aut, cre] , Hsin-Cheng Huang [aut] , Ching-Kang Ing [aut]
Maintainer: Hao-Yun Huang <hhuscout@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 18:40:07 UTC

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New package MCseqReplic with initial version 1.0.0
Package: MCseqReplic
Version: 1.0.0
Date: 2026-04-29
Title: Monte Carlo Simulations of Time Changes in Sequences
Depends: R (>= 3.0.0), TraMineR (>= 2.2-2)
Imports: WeightedCluster (>= 1.6.0), aricode, doParallel, foreach, doSNOW, iterators, stats, vegan, wCorr
Description: Generates replicated sets of sequences with Monte Carlo simulated timing changes and computes various indicators for evaluating effects of timing uncertainty on sequence analysis results. See Ritschard, G. and Liao, T.F. (2026): "Assessing the Impact of Timing Errors in Sequence Analysis". International Journal of Social Research Methodology <doi:10.1080/13645579.2026.2666297>.
License: GPL (>= 2)
URL: http://traminer.unige.ch
Encoding: UTF-8
Maintainer: Gilbert Ritschard <gilbert.ritschard@unige.ch>
NeedsCompilation: no
Packaged: 2026-04-29 07:20:07 UTC; grits
Author: Gilbert Ritschard [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-04-29 19:00:13 UTC

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New package llmcoder with initial version 1.0.0
Package: llmcoder
Title: LLM-Powered Code Generation and Error Fixing for 'RStudio'
Version: 1.0.0
Description: An 'RStudio' addin that integrates large language model (LLM) assistance directly into the code-editing workflow. Users can generate R code from inline comments, obtain LLM-assisted fixes for console errors, and insert plain-English explanations of selected code blocks - all without leaving the editor. Supports 'OpenAI', 'Anthropic' (Claude), 'DeepSeek', 'Groq', 'Together AI', 'OpenRouter', 'Ollama' (fully local, no API key required), and any 'OpenAI'-compatible custom endpoint (e.g. 'LM Studio', 'vLLM', 'llama.cpp').
License: MIT + file LICENSE
Date: 2026-04-25
Depends: R (>= 4.1.0)
Encoding: UTF-8
URL: https://github.com/ShiyangZheng/llmcoder
BugReports: https://github.com/ShiyangZheng/llmcoder/issues
Imports: rstudioapi (>= 0.13), httr2 (>= 1.0.0), miniUI (>= 0.1.1), shiny (>= 1.7.0), stringr (>= 1.5.0), rlang (>= 1.0.0)
Suggests: jsonlite (>= 1.8.0), testthat (>= 3.0.0), withr (>= 2.5.0)
NeedsCompilation: no
Packaged: 2026-04-29 07:10:37 UTC; admin
Author: Shiyang Zheng [aut, cre]
Maintainer: Shiyang Zheng <shiyang.zheng@nottingham.ac.uk>
Repository: CRAN
Date/Publication: 2026-04-29 19:00:02 UTC

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New package lapop with initial version 2.1.5
Package: lapop
Title: Processing, Visualizing, and Labeling Americas Barometer Data
Version: 2.1.5
Author: Robert Vidigal [cre, aut] , Luke Plutowski [ctb, aut]
Date: 2026-04-22
Maintainer: Robert Vidigal <robert.vidigal@vanderbilt.edu>
Description: Labeling, weighting, and plotting data following custom style guidelines for use in reports, presentations, and social media posts. The Center for Global Democracy (formerly the Latin American Public Opinion Project) at Vanderbilt University is a leader in public survey research, best known for the Americas Barometer project. The publicly available data can be downloaded from: <https://www.vanderbilt.edu/lapop/data-access.php>.
URL: https://lapop-central.github.io/lapop/
Depends: R (>= 4.1.0)
Imports: ggplot2, ggtext, ggrepel, showtext, grid, gridtext, gridExtra, sf, sysfonts, systemfonts, svglite, dplyr, srvyr, survey, haven, stats, purrr, tibble, marginaleffects, stringr, zoo
VignetteBuilder: knitr
Suggests: readstata13, rio, rprojroot, knitr, rmarkdown, tidyr, ggpattern, testthat (>= 3.0.0)
Language: en-US
Encoding: UTF-8
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2026-04-28 20:04:39 UTC; vidigar
Repository: CRAN
Date/Publication: 2026-04-29 18:30:02 UTC

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New package jgd with initial version 0.1.0
Package: jgd
Title: JSON Graphics Device
Version: 0.1.0
Description: A graphics device that translates R plotting operations into JSON and streams them over a local connection to an external display application. The device acts as a pure recorder with no rendering dependencies; all rendering occurs in that application (e.g. a 'VS Code' extension or a web browser). Official display applications are available from the project homepage.
License: MIT + file LICENSE
Copyright: file inst/COPYRIGHTS
Encoding: UTF-8
NeedsCompilation: yes
Suggests: callr, ggplot2, jsonlite, processx, testthat (>= 3.0.0), withr
URL: https://github.com/grantmcdermott/jgd
BugReports: https://github.com/grantmcdermott/jgd/issues
Packaged: 2026-04-29 04:44:11 UTC; gmcd
Author: Grant McDermott [aut, cre], Tatsuya Shima [aut], Dave Gamble [cph] , cJSON contributors [cph]
Maintainer: Grant McDermott <contact@grantmcdermott.com>
Repository: CRAN
Date/Publication: 2026-04-29 19:00:07 UTC

More information about jgd at CRAN
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New package hatsurvey with initial version 1.1.1
Package: hatsurvey
Title: Survey Indicator Estimation for Complex Survey Designs
Version: 1.1.1
Description: Estimates survey indicators using complex survey designs. Supports mean, proportion, and ratio estimation with multi-stage stratified sampling, weights, and finite population correction. The output is designed to be comparable to results from 'SPSS' (Statistical Package for the Social Sciences) Complex Samples procedures.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: survey, stats
NeedsCompilation: no
Packaged: 2026-04-28 20:58:27 UTC; Haqqul Amin
Author: Asy-Syaja'ul Haqqul Amin [aut, cre]
Maintainer: Asy-Syaja'ul Haqqul Amin <haqqul.amin06@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 18:40:13 UTC

More information about hatsurvey at CRAN
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Package GVS updated to version 0.0.2 with previous version 0.0.1 dated 2024-12-05

Title: 'Geocoordinate Validation Service'
Description: The 'Geocoordinate Validation Service' (GVS) runs checks of coordinates in latitude/longitude format. It returns annotated coordinates with additional flags and metadata that can be used in data cleaning. Additionally, the package has functions related to attribution and metadata information. More information can be found at <https://github.com/ojalaquellueva/gvs/tree/master/api>.
Author: Brian Maitner [aut, cre] , Brad Boyle [aut], Rethvick Sriram Yugendra Babu [aut]
Maintainer: Brian Maitner <bmaitner@gmail.com>

Diff between GVS versions 0.0.1 dated 2024-12-05 and 0.0.2 dated 2026-04-29

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New package encharter with initial version 0.9
Package: encharter
Title: Enhanced Office Open XML Charting for 'openxlsx2'
Version: 0.9
Language: en-US
Description: Provides a high-level 'R6' interface for creating complex Office Open XML (OOXML) charts. Allows users to build multi-series combo charts with secondary axes and granular styling options, designed to integrate seamlessly with 'openxlsx2'.
License: MIT + file LICENSE
URL: https://janmarvin.github.io/encharter/, https://github.com/JanMarvin/encharter
BugReports: https://github.com/JanMarvin/encharter/issues
Encoding: UTF-8
LinkingTo: openxlsx2
Imports: R6, openxlsx2 (>= 1.26)
Suggests: testthat (>= 3.0.0), viridisLite
NeedsCompilation: yes
Packaged: 2026-04-28 20:26:08 UTC; janmarvingarbuszus
Author: Jan Marvin Garbuszus [aut, cre]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>
Repository: CRAN
Date/Publication: 2026-04-29 18:30:08 UTC

More information about encharter at CRAN
Permanent link

Package BinaryDosage readmission to version 2.0.0 with previous version 1.0.0 dated 2020-01-13

Title: Creates, Merges, and Reads Binary Dosage Files
Description: Tools to create binary dosage files from either VCF or GEN files, merge binary dosage files, and read binary dosage files. Binary dosage files tend to have quicker read times than VCF and GEN formats. There is a small increase in size compared to compressed VCF and GEN files.
Author: John Morrison [aut, cre], NCI [fnd] , NCI [fnd] , NIEHS [fnd] , NHLBI [fnd]
Maintainer: John Morrison <jmorr@usc.edu>

This is a re-admission after prior archival of version 1.0.0 dated 2020-01-13

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Package rdocdump updated to version 0.2.0 with previous version 0.1.1 dated 2025-08-21

Title: Dump 'R' Package Source, Documentation, and Vignettes into One File
Description: Dump source code, documentation and vignettes of an 'R' package into a single file. Supports installed packages, tar.gz archives, and package source directories. If the package is not installed, only its source is automatically downloaded from CRAN for processing. The output is a single plain text file or a character vector, which is useful to ingest complete package documentation and source into a large language model (LLM) or pass it further to other tools, such as 'ragnar' <https://github.com/tidyverse/ragnar> to create a Retrieval-Augmented Generation (RAG) workflow.
Author: Egor Kotov [aut, cre, cph]
Maintainer: Egor Kotov <kotov.egor@gmail.com>

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Package movecost updated to version 2.2 with previous version 2.1 dated 2024-02-12

Title: Calculation of Slope-Dependant Accumulated Cost Surface, Least-Cost Paths, Least-Cost Corridors, Least-Cost Networks Related to Human Movement Across the Landscape
Description: Provides the facility to calculate non-isotropic accumulated cost surface, least-cost paths, least-cost corridors, least-cost networks using a number of human-movement-related cost functions that can be selected by the user. It just requires a Digital Terrain Model, a start location and (optionally) destination locations. See Alberti (2019) <doi:10.1016/j.softx.2019.100331>.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>

Diff between movecost versions 2.1 dated 2024-02-12 and 2.2 dated 2026-04-29

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Package CurricularComplexityData updated to version 0.2.0 with previous version 0.1.0 dated 2026-02-04

Title: Data for Exploring Curricular Complexity
Description: Provides 'igraph' objects representing engineering plans of study across multiple disciplines and institutions. The data are intended for use with the 'CurricularComplexity' package (Reeping, 2026) <doi:10.32614/CRAN.package.CurricularComplexity> to support analyses of curricular structure.
Author: David Reeping [aut, cre], Olivia Ryan [aut], Nahal Rashedi [ctb], Elliot Setser [ctb], Sushant Padhye [ctb], Autri Banerjee [ctb], Emily Hodge [ctb], Levi Smith [ctb]
Maintainer: David Reeping <reepindp@ucmail.uc.edu>

Diff between CurricularComplexityData versions 0.1.0 dated 2026-02-04 and 0.2.0 dated 2026-04-29

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Package cuda.ml updated to version 0.3.3 with previous version 0.3.2 dated 2022-01-07

Title: R Interface for the RAPIDS cuML Suite of Libraries
Description: R interface for RAPIDS cuML (<https://github.com/rapidsai/cuml>), a suite of GPU-accelerated machine learning libraries powered by CUDA (<https://en.wikipedia.org/wiki/CUDA>).
Author: Yitao Li [aut, cph] , Tomasz Kalinowski [aut, cre, cph], Daniel Falbel [aut, cph], RStudio [cph, fnd]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package seminrExtras updated to version 1.0.0 with previous version 0.9.0 dated 2026-01-29

Title: Conduct Additional Modeling and Analysis for 'seminr'
Description: Supplementary tools for evaluating and validating partial least squares structural equation models estimated with 'seminr'. Provides methods for predictive model assessment, importance-performance analysis with necessary condition testing, overfitting diagnostics, measurement model verification, mediator contribution analysis, unobserved heterogeneity detection via latent class and prediction-oriented segmentation, and congruence coefficient testing. All functions accept estimated 'seminr' model objects and return results with print, summary, and plot methods.
Author: Soumya Ray [aut, ths], Nicholas Patrick Danks [aut, cre]
Maintainer: Nicholas Patrick Danks <nicholasdanks@hotmail.com>

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Package NumericEnsembles updated to version 1.2 with previous version 1.0.5 dated 2026-03-01

Title: Automatically Runs 18 Individual and 14 Ensembles of Models
Description: Automatically runs 18 individual models and 14 ensembles on numeric data, for a total of 32 models. The package automatically returns complete results on all 32 models, 25 charts and six tables. The user simply provides the tidy data, and answers a few questions (for example, how many times would you like to resample the data). From there the package randomly splits the data into train, test and validation sets as the user requests (for example, train = 0.60, test = 0.20, validation = 0.20), fits each of models on the training data, makes predictions on the test and validation sets, measures root mean squared error (RMSE), removes features above a user-set level of Variance Inflation Factor, and has several optional features including scaling all numeric data, four different ways to handle strings in the data. Perhaps the most significant feature is the package's ability to make predictions using the 32 pre trained models on totally new (untrained) data if the user selects that feature [...truncated...]
Author: Russ Conte [aut, cre, cph]
Maintainer: Russ Conte <russconte@mac.com>

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Package neuroimaGene updated to version 0.1.4 with previous version 0.1.3 dated 2026-04-25

Title: Transcriptomic Atlas of Neuroimaging Derived Phenotypes
Description: Contains functions to query and visualize the Neuroimaging features associated with genetically regulated gene expression (GReX). The primary utility, neuroimaGene(), relies on a list of user-defined genes and returns a table of neuroimaging features (NIDPs) associated with each gene. This resource is designed to assist in the interpretation of genome-wide and transcriptome-wide association studies that evaluate brain related traits. Bledsoe (2024) <doi:10.1016/j.ajhg.2024.06.002>. In addition there are several visualization functions that generate summary plots and 2-dimensional visualizations of regional brain measures. Mowinckel (2020).
Author: Xavier Bledsoe [aut, cre] , Eric Gamazon [aut]
Maintainer: Xavier Bledsoe <xbledsoe22@gmail.com>

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Package metadat updated to version 1.6-0 with previous version 1.4-0 dated 2025-02-04

Title: Meta-Analysis Datasets
Description: A collection of meta-analysis datasets for teaching purposes, illustrating/testing meta-analytic methods, and validating published analyses.
Author: Wolfgang Viechtbauer [aut, cre] , Thomas White [aut] , Daniel Noble [aut] , Alistair Senior [aut] , W. Kyle Hamilton [aut] , Guido Schwarzer [dtc] , Christian Roever [dtc]
Maintainer: Wolfgang Viechtbauer <wvb@metafor-project.org>

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Package enrichwith updated to version 0.5.0 with previous version 0.4.0 dated 2025-09-08

Title: Methods to Enrich R Objects with Extra Components
Description: Provides the "enrich()" method for augmenting list-like R objects with additional, model-specific components. Methods are currently available for objects of class "family", "link-glm", "lm", "glm", and "betareg". Enriched objects retain their original class and remain compatible with existing methods. For example, enriching a "glm" object produces an "enriched_glm" object that also inherits from "glm". In addition to the standard components, the "enriched_glm" object includes methods for simulation and functions to compute scores, observed and expected information matrices, first-order bias, and other model quantities such as densities, probabilities, and quantiles, which can be evaluated at use-supplied parameter values. The package also provides tools for generating customizable source code templates for the structured implementation of methods to compute new components and enrich arbitrary objects.
Author: Ioannis Kosmidis [aut, cre]
Maintainer: Ioannis Kosmidis <ioannis.kosmidis@warwick.ac.uk>

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Package date4ts updated to version 0.1.2 with previous version 0.1.1 dated 2026-02-01

Title: Wrangle and Modify Ts Object with Classic Frequencies and Exact Dates
Description: The ts objects in R are managed using a very specific date format (in the form c(2022, 9) for September 2022 or c(2021, 2) for the second quarter of 2021, depending on the frequency, for example). We focus solely on monthly and quarterly series to manage the dates of ts objects. The general idea is to offer a set of functions to manage this date format without it being too restrictive or too imprecise depending on the rounding. This is a compromise between simplicity, precision and use of the basic 'stats' functions for creating and managing time series (ts(), window()). Les objets ts en R sont gérés par un format de date très particulier (sous la forme c(2022, 9) pour septembre 2022 ou c(2021, 2) pour le deuxième trimestre 2021 selon la fréquence par exemple). On se concentre uniquement sur les séries mensuelles et trimestrielles pour gérer les dates des objets ts. Lidée générale est de proposer un ensemble de fonctions pour gérer ce format de date sans que ce soit trop contraignant o [...truncated...]
Author: Tanguy Barthelemy [aut, cre]
Maintainer: Tanguy Barthelemy <tangbarth@hotmail.fr>

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Package ConversationAlign readmission to version 0.4.1 with previous version 0.4.0 dated 2025-11-12

Title: Process Text and Compute Linguistic Alignment in Conversation Transcripts
Description: Imports conversation transcripts into R, concatenates them into a single dataframe appending event identifiers, cleans and formats the text, then yokes user-specified psycholinguistic database values to each word. 'ConversationAlign' then computes alignment indices between two interlocutors across each transcript for >40 possible semantic, lexical, and affective dimensions. In addition to alignment, 'ConversationAlign' also produces a table of analytics (e.g., token count, type-token-ratio) in a summary table describing your particular text corpus.
Author: Jamie Reilly [aut, cre] , Virginia Ulichney [aut], Ben Sacks [aut], Sarah Weinstein [ctb], Chelsea Helion [ctb], Gus Cooney [ctb]
Maintainer: Jamie Reilly <jamie_reilly@temple.edu>

This is a re-admission after prior archival of version 0.4.0 dated 2025-11-12

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Package blockr.dag updated to version 0.1.2 with previous version 0.1.0 dated 2025-12-18

Title: A Directed Acyclic Graph Extension for 'blockr'
Description: Building on the docking layout manager provided by 'blockr.dock', this provides an extension that allows for visualizing and manipulating a 'blockr' board using a DAG-based user interface powered by the 'g6R' graph visualisation HTML widget.
Author: David Granjon [aut, cre], Nicolas Bennett [aut], Christoph Sax [aut], Bristol Myers Squibb [fnd]
Maintainer: David Granjon <david@cynkra.com>

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Package brglm2 updated to version 1.1.0 with previous version 1.0.1 dated 2025-11-22

Title: Bias Reduction in Generalized Linear Models
Description: Estimation and inference from generalized linear models based on various methods for bias reduction and maximum penalized likelihood with powers of the Jeffreys prior as penalty. The 'brglmFit()' fitting method can achieve reduction of estimation bias by solving either the mean bias-reducing adjusted score equations in Firth (1993) <doi:10.1093/biomet/80.1.27> and Kosmidis and Firth (2009) <doi:10.1093/biomet/asp055>, or the median bias-reducing adjusted score equations in Kenne et al. (2017) <doi:10.1093/biomet/asx046>, or through the direct subtraction of an estimate of the bias of the maximum likelihood estimator from the maximum likelihood estimates as in Cordeiro and McCullagh (1991) <https://www.jstor.org/stable/2345592>. See Kosmidis et al (2020) <doi:10.1007/s11222-019-09860-6> for more details. Estimation in all cases takes place via a quasi Fisher scoring algorithm, and S3 methods for the construction of of confidence intervals for the reduced-bi [...truncated...]
Author: Ioannis Kosmidis [aut, cre] , Euloge Clovis Kenne Pagui [aut] , Federico Boiocchi [ctb], Philipp Sterzinger [ctb] , Kjell Konis [ctb], Nicola Sartori [ctb]
Maintainer: Ioannis Kosmidis <ioannis.kosmidis@warwick.ac.uk>

Diff between brglm2 versions 1.0.1 dated 2025-11-22 and 1.1.0 dated 2026-04-29

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Package alakazam updated to version 1.4.3 with previous version 1.4.2 dated 2025-12-16

Title: Immunoglobulin Clonal Lineage and Diversity Analysis
Description: Provides methods for high-throughput adaptive immune receptor repertoire sequencing (AIRR-Seq; Rep-Seq) analysis. In particular, immunoglobulin (Ig) sequence lineage reconstruction, lineage topology analysis, diversity profiling, amino acid property analysis and gene usage. Citations: Gupta and Vander Heiden, et al (2017) <doi:10.1093/bioinformatics/btv359>, Stern, Yaari and Vander Heiden, et al (2014) <doi:10.1126/scitranslmed.3008879>.
Author: Susanna Marquez [cre, aut], Namita Gupta [aut], Nima Nouri [aut], Ruoyi Jiang [aut], Julian Zhou [aut], Kenneth Hoehn [aut], Daniel Gadala-Maria [ctb], Edel Aron [ctb], Cole Jensen [aut], Gisela Gabernet [ctb], Caroline Sullivan [ctb], Hailong Meng [ [...truncated...]
Maintainer: Susanna Marquez <susanna.marquez@yale.edu>

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Package wrProteo updated to version 2.0.2 with previous version 2.0.0.2 dated 2026-03-11

Title: Proteomics Data Analysis Functions
Description: Data analysis of proteomics experiments by mass spectrometry is supported by this collection of functions mostly dedicated to the analysis of (bottom-up) quantitative (XIC) data. Fasta-formatted proteomes (eg from UniProt Consortium <doi:10.1093/nar/gky1049>) can be read with automatic parsing and multiple annotation types (like species origin, abbreviated gene names, etc) extracted. Initial results from multiple software for protein (and peptide) quantitation can be imported (to a common format): MaxQuant (Tyanova et al 2016 <doi:10.1038/nprot.2016.136>), Dia-NN (Demichev et al 2020 <doi:10.1038/s41592-019-0638-x>), Fragpipe (da Veiga et al 2020 <doi:10.1038/s41592-020-0912-y>), ionbot (Degroeve et al 2021 <doi:10.1101/2021.07.02.450686>), MassChroq (Valot et al 2011 <doi:10.1002/pmic.201100120>), OpenMS (Strauss et al 2021 <doi:10.1038/nmeth.3959>), ProteomeDiscoverer (Orsburn 2021 <doi:10.3390/proteomes9010015>), Proline (Bouyssie et a [...truncated...]
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

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Package densratio updated to version 0.3.1 with previous version 0.2.1 dated 2019-06-30

Title: Density Ratio Estimation
Description: Density ratio estimation. The estimated density ratio function can be used in many applications such as anomaly detection, change-point detection, covariate shift adaptation. The implemented methods are uLSIF (Hido et al. (2011) <doi:10.1007/s10115-010-0283-2>), RuLSIF (Yamada et al. (2011) <doi:10.1162/NECO_a_00442>), and KLIEP (Sugiyama et al. (2007) <doi:10.1007/s10463-008-0197-x>).
Author: Koji Makiyama [aut, cre]
Maintainer: Koji Makiyama <hoxo.smile@gmail.com>

Diff between densratio versions 0.2.1 dated 2019-06-30 and 0.3.1 dated 2026-04-29

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Package blockr.dock updated to version 0.1.1 with previous version 0.1.0 dated 2025-12-11

Title: A Docking Layout Manager for 'blockr'
Description: Building on the docking layout manager provided by 'dockViewR', this provides a flexible front-end to 'blockr.core'. It provides an extension mechanism which allows for providing means to manipulate a board object via panel-based user interface components.
Author: Nicolas Bennett [aut, cre], David Granjon [aut]
Maintainer: Nicolas Bennett <nicolas@cynkra.com>

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Package glmmrBase updated to version 1.4.0 with previous version 1.3.0 dated 2026-03-31

Title: Generalised Linear Mixed Models in R
Description: Specification, analysis, simulation, and fitting of generalised linear mixed models. Includes Markov Chain Monte Carlo Maximum likelihood model fitting for a range of models, non-linear fixed effect specifications, a wide range of flexible covariance functions that can be combined arbitrarily, robust and bias-corrected standard error estimation, power calculation, data simulation, and more.
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>

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Package autoFC readmission to version 0.2.0.1010 with previous version 0.2.0.1002 dated 2025-03-13

Title: Automatic Construction of Forced-Choice Tests
Description: Forced-choice (FC) response has gained increasing popularity and interest for its resistance to faking when well-designed (Cao & Drasgow, 2019 <doi:10.1037/apl0000414>). To established well-designed FC scales, typically each item within a block should measure different trait and have similar level of social desirability (Zhang et al., 2020 <doi:10.1177/1094428119836486>). Recent study also suggests the importance of high inter-item agreement of social desirability between items within a block (Pavlov et al., 2021 <doi:10.31234/osf.io/hmnrc>). In addition to this, FC developers may also need to maximize factor loading differences (Brown & Maydeu-Olivares, 2011 <doi:10.1177/0013164410375112>) or minimize item location differences (Cao & Drasgow, 2019 <doi:10.1037/apl0000414>) depending on scoring models. Decision of which items should be assigned to the same block, termed item pairing, is thus critical to the quality of an FC test. This pairing p [...truncated...]
Author: Mengtong Li [cre, aut] , Tianjun Sun [aut] , Bo Zhang [aut]
Maintainer: Mengtong Li <mt_li@fudan.edu.cn>

This is a re-admission after prior archival of version 0.2.0.1002 dated 2025-03-13

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Package arrow updated to version 24.0.0 with previous version 23.0.1.2 dated 2026-03-25

Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Author: Neal Richardson [aut], Ian Cook [aut], Nic Crane [aut], Dewey Dunnington [aut] , Romain Francois [aut] , Jonathan Keane [aut, cre], Bryce Mecum [aut], DragoÈ™ Moldovan-Gruenfeld [aut], Jeroen Ooms [aut], Jacob Wujciak-Jens [aut], Javier Luraschi [ctb], [...truncated...]
Maintainer: Jonathan Keane <jkeane@gmail.com>

Diff between arrow versions 23.0.1.2 dated 2026-03-25 and 24.0.0 dated 2026-04-29

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 arrow-24.0.0/arrow/DESCRIPTION                                                                 |    8 
 arrow-24.0.0/arrow/MD5                                                                         |  588 +++++-----
 arrow-24.0.0/arrow/NAMESPACE                                                                   |    3 
 arrow-24.0.0/arrow/NEWS.md                                                                     |   21 
 arrow-24.0.0/arrow/R/arrow-object.R                                                            |    1 
 arrow-24.0.0/arrow/R/arrow-package.R                                                           |   18 
 arrow-24.0.0/arrow/R/arrowExports.R                                                            |    4 
 arrow-24.0.0/arrow/R/dataset-write.R                                                           |   25 
 arrow-24.0.0/arrow/R/dplyr-filter.R                                                            |  121 +-
 arrow-24.0.0/arrow/R/dplyr-funcs-conditional.R                                                 |  282 ++++
 arrow-24.0.0/arrow/R/dplyr-funcs-doc.R                                                         |   10 
 arrow-24.0.0/arrow/R/dplyr-funcs-string.R                                                      |   17 
 arrow-24.0.0/arrow/R/ipc-stream.R                                                              |    4 
 arrow-24.0.0/arrow/R/util.R                                                                    |   18 
 arrow-24.0.0/arrow/README.md                                                                   |    1 
 arrow-24.0.0/arrow/man/acero.Rd                                                                |   10 
 arrow-24.0.0/arrow/man/read_ipc_stream.Rd                                                      |    7 
 arrow-24.0.0/arrow/man/read_json_arrow.Rd                                                      |    2 
 arrow-24.0.0/arrow/man/schema.Rd                                                               |    2 
 arrow-24.0.0/arrow/man/write_dataset.Rd                                                        |    5 
 arrow-24.0.0/arrow/man/write_delim_dataset.Rd                                                  |   11 
 arrow-24.0.0/arrow/src/altrep.cpp                                                              |   44 
 arrow-24.0.0/arrow/src/array_to_vector.cpp                                                     |    1 
 arrow-24.0.0/arrow/src/arrowExports.cpp                                                        |   21 
 arrow-24.0.0/arrow/src/arrow_cpp11.h                                                           |   25 
 arrow-24.0.0/arrow/src/arrow_types.h                                                           |    2 
 arrow-24.0.0/arrow/src/compute-exec.cpp                                                        |   23 
 arrow-24.0.0/arrow/src/config.cpp                                                              |    2 
 arrow-24.0.0/arrow/src/parquet.cpp                                                             |   54 
 arrow-24.0.0/arrow/src/r_to_arrow.cpp                                                          |    2 
 arrow-24.0.0/arrow/tests/testthat/helper-expectation.R                                         |    5 
 arrow-24.0.0/arrow/tests/testthat/test-Array.R                                                 |   13 
 arrow-24.0.0/arrow/tests/testthat/test-RecordBatch.R                                           |    5 
 arrow-24.0.0/arrow/tests/testthat/test-Table.R                                                 |    2 
 arrow-24.0.0/arrow/tests/testthat/test-chunked-array.R                                         |    4 
 arrow-24.0.0/arrow/tests/testthat/test-compute-aggregate.R                                     |    2 
 arrow-24.0.0/arrow/tests/testthat/test-compute-no-bindings.R                                   |    4 
 arrow-24.0.0/arrow/tests/testthat/test-dataset-csv.R                                           |   18 
 arrow-24.0.0/arrow/tests/testthat/test-dataset-write.R                                         |   23 
 arrow-24.0.0/arrow/tests/testthat/test-dataset.R                                               |    6 
 arrow-24.0.0/arrow/tests/testthat/test-dplyr-filter.R                                          |   48 
 arrow-24.0.0/arrow/tests/testthat/test-dplyr-funcs-conditional.R                               |  363 ++++++
 arrow-24.0.0/arrow/tests/testthat/test-dplyr-funcs-string.R                                    |   10 
 arrow-24.0.0/arrow/tests/testthat/test-duckdb.R                                                |    4 
 arrow-24.0.0/arrow/tests/testthat/test-filesystem.R                                            |    8 
 arrow-24.0.0/arrow/tests/testthat/test-memory-pool.R                                           |    2 
 arrow-24.0.0/arrow/tests/testthat/test-parquet.R                                               |   10 
 arrow-24.0.0/arrow/tests/testthat/test-s3.R                                                    |    4 
 arrow-24.0.0/arrow/tests/testthat/test-udf.R                                                   |    2 
 arrow-24.0.0/arrow/tools/LICENSE.txt                                                           |   24 
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 arrow-24.0.0/arrow/tools/cpp/cmake_modules/FindSnappyAlt.cmake                                 |    9 
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 arrow-24.0.0/arrow/tools/cpp/meson.build                                                       |    2 
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 arrow-24.0.0/arrow/tools/cpp/src/arrow/acero/exec_plan.cc                                      |    2 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/acero/swiss_join.cc                                     |    5 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/array/concatenate.cc                                    |    3 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/array/data.cc                                           |    7 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/array/data.h                                            |   14 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/array/util.cc                                           |    2 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/array/validate.cc                                       |    9 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/buffer.h                                                |   10 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/c/bridge.cc                                             |    3 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/chunk_resolver.cc                                       |   11 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/chunk_resolver.h                                        |    4 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/kernels/aggregate_pivot.cc                      |    1 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/kernels/base_arithmetic_internal.h              |    4 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/kernels/chunked_internal.cc                     |    3 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/kernels/chunked_internal.h                      |   12 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/kernels/gather_internal.h                       |   14 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/kernels/hash_aggregate.cc                       |    4 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/kernels/hash_aggregate_numeric.cc               |    1 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/kernels/hash_aggregate_pivot.cc                 |   10 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/kernels/pivot_internal.cc                       |    2 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/kernels/scalar_arithmetic.cc                    |    4 
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 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/kernels/scalar_temporal_binary.cc               |   43 
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 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/kernels/temporal_internal.h                     |   43 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/kernels/vector_array_sort.cc                    |    7 
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 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/kernels/vector_rank.cc                          |    5 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/kernels/vector_replace.cc                       |    7 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/kernels/vector_selection_filter_internal.cc     |    2 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/kernels/vector_sort.cc                          |    8 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/kernels/vector_sort_internal.h                  |    3 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/key_hash_internal.cc                            |    5 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/key_map_internal.cc                             |   18 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/row/grouper.cc                                  |   31 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/row/row_internal.cc                             |   10 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/row/row_internal.h                              |    8 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/util.cc                                         |    7 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/compute/util_avx2.cc                                    |    5 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/config.cc                                               |    4 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/config.h                                                |   23 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/csv/converter.cc                                        |  107 +
 arrow-24.0.0/arrow/tools/cpp/src/arrow/csv/converter.h                                         |    3 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/csv/writer.cc                                           |   13 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/device.cc                                               |    3 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/engine/substrait/expression_internal.cc                 |    6 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/engine/substrait/options.cc                             |   12 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/extension/CMakeLists.txt                                |    2 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/extension/fixed_shape_tensor.cc                         |  168 +-
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 arrow-24.0.0/arrow/tools/cpp/src/arrow/filesystem/s3fs.cc                                      |    8 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/filesystem/s3fs_benchmark.cc                            |    3 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/flight/serialization_internal.cc                        |  234 +++
 arrow-24.0.0/arrow/tools/cpp/src/arrow/flight/serialization_internal.h                         |    9 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/flight/server_tracing_middleware.cc                     |    2 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/flight/sql/CMakeLists.txt                               |    2 
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 arrow-24.0.0/arrow/tools/cpp/src/arrow/flight/sql/server.cc                                    |    6 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/flight/transport.h                                      |    2 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/flight/transport/grpc/grpc_client.cc                    |   18 
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 arrow-24.0.0/arrow/tools/cpp/src/arrow/flight/types.h                                          |    3 
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 arrow-24.0.0/arrow/tools/cpp/src/arrow/integration/json_internal.cc                            |    9 
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 arrow-24.0.0/arrow/tools/cpp/src/arrow/ipc/feather.cc                                          |    7 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/ipc/message.cc                                          |   58 
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 arrow-24.0.0/arrow/tools/cpp/src/arrow/ipc/reader.cc                                           |  402 ++++--
 arrow-24.0.0/arrow/tools/cpp/src/arrow/ipc/writer.cc                                           |    4 
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 arrow-24.0.0/arrow/tools/cpp/src/arrow/result.h                                                |    9 
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 arrow-24.0.0/arrow/tools/cpp/src/arrow/symbols.map                                             |    2 
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 arrow-24.0.0/arrow/tools/cpp/src/arrow/testing/util.cc                                         |    7 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/testing/util.h                                          |    8 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/type.cc                                                 |   18 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/type.h                                                  |   16 
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 arrow-24.0.0/arrow/tools/cpp/src/arrow/util/CMakeLists.txt                                     |    1 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/util/align_util.h                                       |   11 
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 arrow-24.0.0/arrow/tools/cpp/src/arrow/util/bit_run_reader.h                                   |   19 
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 arrow-24.0.0/arrow/tools/cpp/src/arrow/util/bitmap_ops.cc                                      |   13 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/util/bitmap_reader_benchmark.cc                         |    7 
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 arrow-24.0.0/arrow/tools/cpp/src/arrow/util/bpacking_benchmark.cc                              |  129 +-
 arrow-24.0.0/arrow/tools/cpp/src/arrow/util/bpacking_dispatch_internal.h                       |  450 +++++--
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 arrow-24.0.0/arrow/tools/cpp/src/arrow/util/bpacking_scalar_codegen.py                         |    8 
 arrow-24.0.0/arrow/tools/cpp/src/arrow/util/bpacking_scalar_generated_internal.h               |   97 +
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 arrow-24.0.0/arrow/tools/cpp/src/arrow/util/bpacking_simd512_generated_internal.h              |   97 +
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Package wrGraph updated to version 1.3.15 with previous version 1.3.13 dated 2026-03-16

Title: Graphics in the Context of Analyzing High-Throughput Data
Description: Additional options for making graphics in the context of analyzing high-throughput data are available here. This includes automatic segmenting of the current device (eg window) to accommodate multiple new plots, automatic checking for optimal location of legends in plots, small histograms to insert as legends, histograms re-transforming axis labels to linear when plotting log2-transformed data, a violin-plot <doi:10.1080/00031305.1998.10480559> function for a wide variety of input-formats, principal components analysis (PCA) <doi:10.1080/14786440109462720> with bag-plots <doi:10.1080/00031305.1999.10474494> to highlight and compare the center areas for groups of samples, generic MA-plots (differential- versus average-value plots) <doi:10.1093/nar/30.4.e15>, staggered count plots and generation of mouse-over interactive html pages.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

Diff between wrGraph versions 1.3.13 dated 2026-03-16 and 1.3.15 dated 2026-04-29

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Package SFOCDs updated to version 1.2.0 with previous version 1.1.0 dated 2026-04-15

Title: Space Filling Optimal Covariate Designs
Description: We have designed this package to address experimental scenarios involving multiple covariates. It focuses on construction of Optimal Covariate Designs (OCDs), checking space filling property of the developed design. The primary objective of the package is to generate OCDs using four methods viz., M array method, Juxtapose method, Orthogonal Integer Array and Hadamard method. The package also evaluates space filling properties of both the base design and OCDs using the MaxPro criterion, providing a meaningful basis for comparison. In addition, it includes tool to visualize the spread offered by the design points in the form of scatterplot, which help users to assess distribution and coverage of design points.
Author: Neethu RS [aut, ctb], Cini Varghese [aut, ctb], Mohd Harun [aut, ctb], Anindita Datta [aut, ctb], Ashutosh Dalal [aut, ctb, cre]
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>

Diff between SFOCDs versions 1.1.0 dated 2026-04-15 and 1.2.0 dated 2026-04-29

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Package rpcss readmission to version 0.1.1 with previous version 0.1.0 dated 2025-02-17

Title: Constitution of Core Collections by Principal Component Scoring Strategy
Description: Generate a Core Collection with Principal Component Scoring Strategy (PCSS) using qualitative and/or quantitative trait data according to Hamon and Noirot (1990) <https://www.documentation.ird.fr/hor/fdi:36506>, Noirot et al. (1996) <doi:10.2307/2527837> and Noirot et al. (2003) <https://www.documentation.ird.fr/hor/fdi:010031886>.
Author: J. Aravind [aut, cre] , Anju Mahendru Singh [aut] , ICAR-NBGPR [cph]
Maintainer: J. Aravind <j.aravind@icar.org.in>

This is a re-admission after prior archival of version 0.1.0 dated 2025-02-17

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Package ProFAST updated to version 1.8 with previous version 1.7 dated 2025-12-14

Title: Probabilistic Factor Analysis for Spatially-Aware Dimension Reduction
Description: Probabilistic factor analysis for spatially-aware dimension reduction across multi-section spatial transcriptomics data with millions of spatial locations. More details can be referred to Wei Liu, et al. (2023) <doi:10.1101/2023.07.11.548486>.
Author: Wei Liu [aut, cre], Xiao Zhang [aut], Jin Liu [aut]
Maintainer: Wei Liu <liuweideng@gmail.com>

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Package grpnet updated to version 1.2 with previous version 1.1 dated 2026-01-07

Title: Group Elastic Net Regularized GLMs and GAMs
Description: Efficient algorithms for fitting generalized linear and additive models with group elastic net penalties as described in Helwig (2025) <doi:10.1080/10618600.2024.2362232>. Implements group LASSO, group MCP, and group SCAD with an optional group ridge penalty. Computes the regularization path for linear regression (gaussian), multivariate regression (multigaussian), smoothed support vector machines (svm1), squared support vector machines (svm2), logistic regression (binomial), proportional odds logistic regression (ordinal), multinomial logistic regression (multinomial), log-linear count regression (poisson and negative.binomial), and log-linear continuous regression (gamma and inverse gaussian). Supports default and formula methods for model specification, k-fold cross-validation for tuning the regularization parameters, and nonparametric regression via tensor product reproducing kernel (smoothing spline) basis function expansion.
Author: Nathaniel E. Helwig [aut, cre]
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

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Package classmap updated to version 1.2.7 with previous version 1.2.6 dated 2025-07-14

Title: Visualizing Classification Results
Description: Tools to visualize the results of a classification or a regression. The graphical displays include stacked plots, silhouette plots, quasi residual plots, class maps, predictions plots, and predictions correlation plots. Implements the techniques described and illustrated in Raymaekers J., Rousseeuw P.J., Hubert M. (2022). Class maps for visualizing classification results. \emph{Technometrics}, 64(2), 151–165. <doi:10.1080/00401706.2021.1927849> (open access), Raymaekers J., Rousseeuw P.J.(2022). Silhouettes and quasi residual plots for neural nets and tree-based classifiers. \emph{Journal of Computational and Graphical Statistics}, 31(4), 1332–1343. <doi:10.1080/10618600.2022.2050249>, and Rousseeuw, P.J. (2026). Explainable Linear and Generalized Linear Models by the Predictions Plot. The American Statistician, 80, 157-163, <doi:10.1080/00031305.2025.2539235> (open access), and Montalcini, C., Rousseeuw, P.J. (2025). The bixplot: A variation on the boxplot suited for [...truncated...]
Author: Jakob Raymaekers [aut, cre], Peter Rousseeuw [aut]
Maintainer: Jakob Raymaekers <jakob.raymaekers@kuleuven.be>

Diff between classmap versions 1.2.6 dated 2025-07-14 and 1.2.7 dated 2026-04-29

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Package predicts updated to version 0.2-2 with previous version 0.1-19 dated 2025-05-06

Title: Spatial Prediction Tools
Description: Methods for spatial predictive modeling, especially for spatial distribution models. This includes algorithms for model fitting and prediction, as well as methods for model evaluation.
Author: Robert J. Hijmans [cre, aut] , Steven Phillips [ctb], Marcia Barbosa [ctb], Chris Brunsdon [ctb], Barry Rowlingson [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

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Package wrMisc updated to version 2.0.2 with previous version 2.0.0 dated 2026-03-09

Title: Analyze Experimental High-Throughput (Omics) Data
Description: The efficient treatment and convenient analysis of experimental high-throughput (omics) data gets facilitated through this collection of diverse functions. Several functions address advanced object-conversions, like manipulating lists of lists or lists of arrays, reorganizing lists to arrays or into separate vectors, merging of multiple entries, etc. Another set of functions provides speed-optimized calculation of standard deviation (sd), coefficient of variance (CV) or standard error of the mean (SEM) for data in matrixes or means per line with respect to additional grouping (eg n groups of replicates). A group of functions facilitate dealing with non-redundant information, by indexing unique, adding counters to redundant or eliminating lines with respect redundancy in a given reference-column, etc. Help is provided to identify very closely matching numeric values to generate (partial) distance matrixes for very big data in a memory efficient manner or to reduce the complexity of larg [...truncated...]
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

Diff between wrMisc versions 2.0.0 dated 2026-03-09 and 2.0.2 dated 2026-04-29

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Package OrdMonReg updated to version 1.0.4 with previous version 1.0.3 dated 2011-12-01

Title: Compute Least Squares Estimates of One Bounded or Two Ordered Isotonic Regression Curves
Description: We consider the problem of estimating two isotonic regression curves g1* and g2* under the constraint that they are ordered, i.e. g1* <= g2*. Given two sets of n data points y_1, ..., y_n and z_1, ..., z_n that are observed at (the same) deterministic design points x_1, ..., x_n, the estimates are obtained by minimizing the Least Squares criterion L(a, b) = sum_{i=1}^n (y_i - a_i)^2 w1(x_i) + sum_{i=1}^n (z_i - b_i)^2 w2(x_i) over the class of pairs of vectors (a, b) such that a and b are isotonic and a_i <= b_i for all i = 1, ..., n. We offer two different approaches to compute the estimates: a projected subgradient algorithm where the projection is calculated using a PAVA as well as Dykstra's cyclical projection algorithm.
Author: Fadoua Balabdaoui [aut], Kaspar Rufibach [aut, cre], Filippo Santambrogio [aut]
Maintainer: Kaspar Rufibach <kaspar.rufibach@gmail.com>

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More information about OrdMonReg at CRAN
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Package madgrad updated to version 0.2.0 with previous version 0.1.0 dated 2021-05-10

Title: 'MADGRAD' Method for Stochastic Optimization
Description: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization algorithm. MADGRAD is a 'best-of-both-worlds' optimizer with the generalization performance of stochastic gradient descent and at least as fast convergence as that of Adam, often faster. A drop-in optim_madgrad() implementation is provided based on Defazio et al (2020) <doi:10.48550/arXiv.2101.11075>.
Author: Daniel Falbel [aut, cre, cph], Posit Software, PBC [cph], MADGRAD original implementation authors. [cph]
Maintainer: Daniel Falbel <dfalbel@gmail.com>

Diff between madgrad versions 0.1.0 dated 2021-05-10 and 0.2.0 dated 2026-04-29

 DESCRIPTION |   18 +++++++++---------
 MD5         |    9 +++++----
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 6 files changed, 29 insertions(+), 15 deletions(-)

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Package L1centrality updated to version 0.5.0 with previous version 0.4.0 dated 2025-10-27

Title: Graph/Network Analysis Based on L1 Centrality
Description: Analyze graph/network data using L1 centrality and prestige. Functions for deriving global, local, and group L1 centrality/prestige are provided. Routines for visual inspection of a graph/network are also provided. Details are in Kang and Oh (2026a) <doi:10.1080/01621459.2025.2520467>, Kang and Oh (2026b) <doi:10.1080/00031305.2025.2563730>, and Kang (2025) <doi:10.23170/snu.000000188358.11032.0001856>.
Author: Seungwoo Kang [aut, cre] , Hee-Seok Oh [aut]
Maintainer: Seungwoo Kang <kangsw@skku.edu>

Diff between L1centrality versions 0.4.0 dated 2025-10-27 and 0.5.0 dated 2026-04-29

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Package dtlg updated to version 0.1.0 with previous version 0.0.3 dated 2026-01-12

Title: A Performance-Focused Package for Clinical Trial Tables
Description: Create high-performance clinical reporting tables (TLGs) from ADaM-like inputs. The package provides a consistent, programmatic API to generate common tables such as demographics, adverse event incidence, and laboratory summaries, using 'data.table' for fast aggregation over large populations. Functions support flexible target-variable selection, stratification by treatment, and customizable summary statistics, and return tidy, machine-readable results ready to render with downstream table/formatting packages in analysis pipelines.
Author: Max Ebenezer-Brown [aut], Max Norman [aut], Xinye Li [aut], Anja Peebles-Brown [aut], Ashley Baldry [aut], Ramiro Magno [aut, cre]
Maintainer: Ramiro Magno <ramiro.morgado@acuityanalytics.com>

Diff between dtlg versions 0.0.3 dated 2026-01-12 and 0.1.0 dated 2026-04-29

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Permanent link

New package shorm with initial version 0.1.3
Package: shorm
Title: Detect the Shape of Dose-Response Curves
Version: 0.1.3
Description: Provides functions for hormesis screening by classifying the shapes of dose-response curves based on semiparametric tests. The shapes are indications of different potential toxicology effect. It also offers a scalable visualization scheme to present testing conclusions for large-scale dataset with a large number of dose-response curves. For more information, see Jin et al. (2026) <https://github.com/YinglJin-0203/shorm/blob/main/Manuscripts/BotanicalHormesisTestingFinalDraft.docx>.
License: GPL-3
Encoding: UTF-8
Imports: SRMERS, ggplot2, scales, dplyr
URL: https://github.com/YinglJin-0203/shorm
NeedsCompilation: no
Packaged: 2026-04-28 19:37:53 UTC; ebair
Author: Eric Bair [aut, cre], Ying Jin [aut, cph]
Maintainer: Eric Bair <software.tools@sciome.com>
Repository: CRAN
Date/Publication: 2026-04-29 08:20:02 UTC

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New package magentabook with initial version 0.1.0
Package: magentabook
Title: HM Treasury Magenta Book Policy Evaluation Primitives
Version: 0.1.0
Description: Implements policy evaluation primitives from HM Treasury Magenta Book guidance (HM Treasury, 2020): theory of change and log-frame construction, evaluation planning and stakeholder mapping, power and minimum-detectable-effect calculations for randomised designs (including cluster and stepped-wedge designs following 'Hussey' and 'Hughes' (2007) <doi:10.1016/j.cct.2006.05.007> and 'Hemming' et al. (2015) <doi:10.1136/bmj.h391>), Maryland Scientific Methods Scale ratings, structured confidence ratings, light-weight difference-in-differences and interrupted-time-series estimators ('Bernal' et al. (2017) <doi:10.1093/ije/dyw098>) with cluster-robust standard errors ('Cameron' and 'Miller' (2015) <doi:10.3368/jhr.50.2.317>), pre-treatment balance checks ('Stuart' (2010) <doi:10.1214/09-STS313>), and cost-effectiveness analysis (cost per outcome, incremental cost-effectiveness ratio, acceptability curves, incremental net benefit, quality-adjusted and disability-a [...truncated...]
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: cli (>= 3.6.0), stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, openxlsx, officer, flextable, pwr, sandwich, swCRTdesign, BCEA, cobalt
URL: https://github.com/charlescoverdale/magentabook
BugReports: https://github.com/charlescoverdale/magentabook/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-28 16:13:08 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 08:10:02 UTC

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Package infoelectoral readmission to version 1.0.3 with previous version 1.0.2 dated 2024-05-30

Title: Download Spanish Election Results
Description: Download official election results for Spain at polling station, municipality and province level, format them and import them to the R environment. Data are provided by the Spanish Ministry of the Interior (<https://infoelectoral.interior.gob.es/es/inicio/>).
Author: Hector Meleiro [aut, cre]
Maintainer: Hector Meleiro <hmeleiros@gmail.com>

This is a re-admission after prior archival of version 1.0.2 dated 2024-05-30

Diff between infoelectoral versions 1.0.2 dated 2024-05-30 and 1.0.3 dated 2026-04-29

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Package discSurv updated to version 2.5.1 with previous version 2.0.0 dated 2022-03-02

Title: Discrete Time Survival Analysis
Description: Provides data transformations, estimation utilities, predictive evaluation measures and simulation functions for discrete time survival analysis.
Author: Thomas Welchowski [aut, cre], Moritz Berger [aut], David Koehler [aut], Matthias Schmid [aut]
Maintainer: Thomas Welchowski <t.welchowski@psychologie.uzh.ch>

Diff between discSurv versions 2.0.0 dated 2022-03-02 and 2.5.1 dated 2026-04-29

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New package arcopt with initial version 0.3.0
Package: arcopt
Title: Adaptive Regularization using Cubics for Optimization
Version: 0.3.0
Description: Implements cubic regularization methods (ARC) for local optimization problems common in statistics and applied research. Provides robust handling of ill-conditioned, nonconvex, and indefinite Hessian problems with automatic saddle point escape. Supports box constraints; linear equality constraints are planned for a future release.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/marcus-waldman/arcopt
BugReports: https://github.com/marcus-waldman/arcopt/issues
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.0), utils
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr, marqLevAlg, trust
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-04-28 16:36:29 UTC; marcu
Author: Marcus Waldman [aut, cre]
Maintainer: Marcus Waldman <marcus.waldman@cuanschutz.edu>
Repository: CRAN
Date/Publication: 2026-04-29 08:10:10 UTC

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New package rgbIndices with initial version 0.1.1
Package: rgbIndices
Title: RGB Visible Indices for Image Analysis
Version: 0.1.1
Description: Computes RGB-based vegetation, color, and spectral indices from digital images for applications in agriculture, crop phenotyping, and remote sensing. The methods are based on digital image processing and plant phenotyping approaches (Singh et al. (2023) <doi:10.1080/10106049.2022.2160831>).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: raster, tibble
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-28 11:29:58 UTC; Admin
Author: RN Singh [aut], Bappa Das [aut], Sonam [aut], Anil Kumar [aut], Santosha Rathod [aut, cre]
Maintainer: Santosha Rathod <santoshagriculture@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 07:40:02 UTC

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New package rbiodatacr with initial version 0.1.0
Package: rbiodatacr
Title: R Client for the BIODATACR Biodiversity Data Platform of Costa Rica
Version: 0.1.0
Description: Provides functions to query occurrence records, species information, and datasets from BIODATACR <https://biodiversidad.go.cr>, the national biodiversity information platform of Costa Rica managed by the Technical Office of CONAGEBIO, Costa Rica. Built on the Atlas of Living Australia (ALA) API infrastructure.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/ManuelSpinola/rbiodatacr, https://manuelspinola.github.io/rbiodatacr/
BugReports: https://github.com/ManuelSpinola/rbiodatacr/issues
Suggests: CoordinateCleaner, ggplot2, knitr, rmarkdown, sf, testthat (>= 3.0.0)
Imports: cli, dplyr, httr, jsonlite, purrr
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2026-04-28 01:22:28 UTC; manuel_nuevo
Author: Manuel Spinola [aut, cre]
Maintainer: Manuel Spinola <mspinola10@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 07:30:02 UTC

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Package GPArotation updated to version 2026.4-1 with previous version 2025.3-1 dated 2025-04-12

Title: Gradient Projection Factor Rotation
Description: Gradient projection algorithms for orthogonal and oblique rotation of factor loadings matrices in factor analysis. Implements a comprehensive set of rotation criteria including quartimax, quartimin, oblimin, geomin, simplimax, the Crawford-Ferguson family, and target rotation, among others. Supports multiple random starts. For details see Bernaards and Jennrich (2005) <doi:10.1177/0013164404272507>.
Author: Coen Bernaards [aut, cre], Paul Gilbert [aut], Robert Jennrich [aut]
Maintainer: Coen Bernaards <cab.gparotation@gmail.com>

Diff between GPArotation versions 2025.3-1 dated 2025-04-12 and 2026.4-1 dated 2026-04-29

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Package ggrefine updated to version 0.3.0 with previous version 0.2.0 dated 2026-04-14

Title: Publication-Quality 'ggplot2' Themes
Description: Complete themes for publication-quality 'ggplot2' visualisation. Also provides functions to modify these based on the positional axis scales and focus of a particular plot.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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New package fahb with initial version 1.0.0
Package: fahb
Title: Design and Analysis of Pilot Trials Assessing Recruitment Feasibility
Version: 1.0.0
Description: Find optimal decisions rules for guiding progression decisions following a pilot trial, assuming a hierarchical recruitment model. Estimate the time until the main trial recruits to target, given the recruitment data observed in the pilot.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: BH, knitr, patchwork, RcppEigen, rmarkdown, testthat (>= 3.0.0)
Imports: brms, ggplot2, mco, mgcv, posterior, rlang
VignetteBuilder: knitr
URL: https://dtwilson.github.io/fahb/, https://github.com/DTWilson/fahb
BugReports: https://github.com/DTWilson/fahb/issues
NeedsCompilation: no
Packaged: 2026-04-28 15:01:50 UTC; meddwilb
Author: Duncan Wilson [aut, cre, cph]
Maintainer: Duncan Wilson <d.t.wilson@leeds.ac.uk>
Repository: CRAN
Date/Publication: 2026-04-29 08:00:02 UTC

More information about fahb at CRAN
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Package ebal updated to version 0.2.1 with previous version 0.1-8 dated 2022-06-09

Title: Entropy Reweighting to Create Balanced Samples
Description: Implements entropy balancing, a data preprocessing procedure described in Hainmueller (2012, <doi:10.1093/pan/mpr025>) that allows users to reweight a dataset such that the covariate distributions in the reweighted data satisfy a set of user-specified moment conditions. Useful for creating balanced samples in observational studies with a binary treatment where the control group is reweighted to match the covariate moments of the treatment group, and for reweighting a survey sample to known characteristics from a target population.
Author: Jens Hainmueller [aut, cre]
Maintainer: Jens Hainmueller <jhain@stanford.edu>

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Package dsTidyverseClient updated to version 1.1.0 with previous version 1.0.3 dated 2025-12-15

Title: 'DataSHIELD' 'Tidyverse' Clientside Package
Description: Implementation of selected 'Tidyverse' functions within 'DataSHIELD', an open-source federated analysis solution in R. Currently, 'DataSHIELD' contains very limited tools for data manipulation, so the aim of this package is to improve the researcher experience by implementing essential functions for data manipulation, including subsetting, filtering, grouping, and renaming variables. This is the client-side package which should be installed locally, and is used in conjunction with the server-side package 'dsTidyverse' which is installed on the remote server holding the data. For more information, see <https://tidyverse.org/> and <https://datashield.org/>.
Author: Tim Cadman [aut, cre] , Mariska Slofstra [aut] , Stuart Wheater [aut], Demetris Avraam [aut]
Maintainer: Tim Cadman <t.j.cadman@umcg.nl>

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Package torchdatasets updated to version 0.3.2 with previous version 0.3.1 dated 2024-06-20

Title: Ready to Use Extra Datasets for Torch
Description: Provides datasets in a format that can be easily consumed by torch 'dataloaders'. Handles data downloading from multiple sources, caching and pre-processing so users can focus only on their model implementations.
Author: Tomasz Kalinowski [ctb, cre], Daniel Falbel [aut, cph], RStudio [cph]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package theft updated to version 0.8.4 with previous version 0.8.2 dated 2025-07-29

Title: Tools for Handling Extraction of Features from Time Series
Description: Consolidates and calculates different sets of time-series features from multiple 'R' and 'Python' packages including 'Rcatch22' Henderson, T. (2021) <doi:10.5281/zenodo.5546815>, 'feasts' O'Hara-Wild, M., Hyndman, R., and Wang, E. (2021) <https://CRAN.R-project.org/package=feasts>, 'tsfeatures' Hyndman, R., Kang, Y., Montero-Manso, P., Talagala, T., Wang, E., Yang, Y., and O'Hara-Wild, M. (2020) <https://CRAN.R-project.org/package=tsfeatures>, 'tsfresh' Christ, M., Braun, N., Neuffer, J., and Kempa-Liehr A.W. (2018) <doi:10.1016/j.neucom.2018.03.067>, 'TSFEL' Barandas, M., et al. (2020) <doi:10.1016/j.softx.2020.100456>, and 'Kats' Facebook Infrastructure Data Science (2021) <https://facebookresearch.github.io/Kats/>.
Author: Trent Henderson [cre, aut], Annie Bryant [ctb]
Maintainer: Trent Henderson <then6675@uni.sydney.edu.au>

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Package Synth updated to version 1.1-10 with previous version 1.1-9 dated 2025-10-19

Title: Synthetic Control Group Method for Comparative Case Studies
Description: Implements the synthetic control group method for comparative case studies as described in Abadie and Gardeazabal (2003) and Abadie, Diamond, and Hainmueller (2010, 2011, 2014). The synthetic control method allows for effect estimation in settings where a single unit (a state, country, firm, etc.) is exposed to an event or intervention. It provides a data-driven procedure to construct synthetic control units based on a weighted combination of comparison units that approximates the characteristics of the unit that is exposed to the intervention. A combination of comparison units often provides a better comparison for the unit exposed to the intervention than any comparison unit alone.
Author: Jens Hainmueller [aut, cre], Alexis Diamond [aut]
Maintainer: Jens Hainmueller <jhain@stanford.edu>

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Package survdnn updated to version 0.7.6 with previous version 0.7.5 dated 2026-01-07

Title: Deep Neural Networks for Survival Analysis with R 'torch'
Description: Provides deep learning models for right-censored survival data using the 'torch' backend. Supports multiple loss functions, including Cox partial likelihood, L2-penalized Cox, time-dependent Cox, and accelerated failure time (AFT) loss. Offers a formula-based interface, built-in support for cross-validation, hyperparameter tuning, survival curve plotting, and evaluation metrics such as the C-index, Brier score, and integrated Brier score. For methodological details, see Kvamme et al. (2019) <https://www.jmlr.org/papers/v20/18-424.html>.
Author: Imad EL BADISY [aut, cre]
Maintainer: Imad EL BADISY <elbadisyimad@gmail.com>

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Package socialmixr updated to version 0.6.0 with previous version 0.5.1 dated 2026-02-04

Title: Social Mixing Matrices for Infectious Disease Modelling
Description: Methods for sampling contact matrices from diary data for use in infectious disease modelling, as discussed in Mossong et al. (2008) <doi:10.1371/journal.pmed.0050074>.
Author: Sebastian Funk [aut, cre], Lander Willem [aut], Hugo Gruson [aut], Nicholas Tierney [aut] , Maria Bekker-Nielsen Dunbar [ctb], Carl A. B. Pearson [ctb], Sam Clifford [ctb], Christopher Jarvis [ctb], Alexis Robert [ctb], Niel Hens [ctb], Pietro Colett [...truncated...]
Maintainer: Sebastian Funk <sebastian.funk@lshtm.ac.uk>

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Package HDNRA updated to version 2.1.0 with previous version 2.0.1 dated 2024-10-22

Title: High-Dimensional Location Testing with Normal-Reference Approaches
Description: Provides inverse-free high-dimensional location tests for two-sample and general linear hypothesis testing (GLHT) problems under equal or unequal covariance structures. The package implements classical normal-approximation procedures, scale-invariant procedures, normal-reference procedures based on covariance-matched Gaussian companions, and F-type normal-reference calibrations for heteroscedastic Behrens-Fisher and GLHT settings. Implemented two-sample normal-approximation and scale-invariant procedures include Bai and Saranadasa (1996) <https://www.jstor.org/stable/24306018>, Chen and Qin (2010) <doi:10.1214/09-aos716>, Srivastava and Du (2008) <doi:10.1016/j.jmva.2006.11.002>, and Srivastava et al. (2013) <doi:10.1016/j.jmva.2012.08.014>. Implemented two-sample normal-reference procedures include Zhang, Guo, Zhou and Cheng (2020) <doi:10.1080/01621459.2019.1604366>, Zhang, Zhou, Guo and Zhu (2021) <doi:10.1016/j.jspi.2020.11.008>, Zhang, Zhu and Z [...truncated...]
Author: Pengfei Wang [aut, cre], Shuqi Luo [aut], Tianming Zhu [aut], Bu Zhou [aut]
Maintainer: Pengfei Wang <nie23.wp8738@e.ntu.edu.sg>

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Package FastGP updated to version 1.3 with previous version 1.2 dated 2016-02-02

Title: Efficiently Using Gaussian Processes with Rcpp and RcppEigen
Description: Contains Rcpp and RcppEigen implementations of matrix operations useful for Gaussian process models, such as the inversion of a symmetric Toeplitz matrix, sampling from multivariate normal distributions, evaluation of the log-density of a multivariate normal vector, and Bayesian inference for latent variable Gaussian process models with elliptical slice sampling (Murray, Adams, and MacKay 2010).
Author: Giri Gopalan [aut, cre], Luke Bornn [aut]
Maintainer: Giri Gopalan <gopalan88@gmail.com>

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Package ccar3 readmission to version 0.1.1 with previous version 0.1.0 dated 2025-09-16

Title: Canonical Correlation Analysis via Reduced Rank Regression
Description: Canonical correlation analysis (CCA) via reduced-rank regression with support for regularization and cross-validation. Several methods for estimating CCA in high-dimensional settings are implemented. The first set of methods, cca_rrr() (and variants: cca_group_rrr() and cca_graph_rrr()), assumes that one dataset is high-dimensional and the other is low-dimensional, while the second, ecca() (for Efficient CCA) assumes that both datasets are high-dimensional. For both methods, standard l1 regularization as well as group-lasso regularization are available. cca_graph_rrr further supports total variation regularization when there is a known graph structure among the variables of the high-dimensional dataset. In this case, the loadings of the canonical directions of the high-dimensional dataset are assumed to be smooth on the graph. For more details see Donnat and Tuzhilina (2024) <doi:10.48550/arXiv.2405.19539> and Wu, Tuzhilina and Donnat (2025) <doi:10.48550/arXiv.2507.11160> [...truncated...]
Author: Claire Donnat [aut, cre] , Elena Tuzhilina [aut] , Zixuan Wu [aut]
Maintainer: Claire Donnat <cdonnat@uchicago.edu>

This is a re-admission after prior archival of version 0.1.0 dated 2025-09-16

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Package bfboinet updated to version 1.1.0 with previous version 1.0.0 dated 2026-04-14

Title: Backfill Bayesian Optimal Interval Design Using Efficacy and Toxicity
Description: Implements the Backfill Bayesian Optimal Interval Design (BF-BOIN-ET), a novel clinical trial methodology for dose optimization that simultaneously consider both efficacy and toxicity outcome as described in (Takeda et al (2025) <doi:10.1002/pst.2470>). The package has been extended to include a seamless two-stage phase I/II trial design with backfill and joint efficacy and toxicity monitoring as described in (Takeda et al (2026) <doi:10.1002/pst.70092>).
Author: Jing Zhu [cre, aut], Kentaro Takeda [aut], Belay Birlie Yimer [aut]
Maintainer: Jing Zhu <zhujing716@gmail.com>

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Package SCdeconR updated to version 1.0.2 with previous version 1.0.0 dated 2024-03-22

Title: Deconvolution of Bulk RNA-Seq Data using Single-Cell RNA-Seq Data as Reference
Description: Streamlined workflow from deconvolution of bulk RNA-seq data to downstream differential expression and gene-set enrichment analysis. Provide various visualization functions.
Author: Yuanhang Liu [aut, cre]
Maintainer: Yuanhang Liu <liu.yuanhang@mayo.edu>

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Package glyparse updated to version 0.6.0 with previous version 0.5.7 dated 2026-03-14

Title: Parsing Glycan Structure Text Representations
Description: Provides functions to parse glycan structure text representations into 'glyrepr' glycan structures. Currently, it supports StrucGP-style, pGlyco-style, IUPAC-condensed, IUPAC-extended, IUPAC-short, WURCS, Linear Code, and GlycoCT format. It also provides an automatic parser to detect the format and parse the structure string.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

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