Title: Model-Independent Variable Selection via the Rule-Based Variable
Priority
Description: A new framework of variable selection, which instead of generating artificial covariates such as permutation importance and knockoffs, creates release rules to examine the affect on the response for each covariate where the conditional distribution of the response variable can be arbitrary and unknown.
Author: Min Lu [aut],
Aster K. Shear [aut],
Udaya B. Kogalur [aut, cre],
Hemant Ishwaran [aut]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>
Diff between varPro versions 2.0.0 dated 2026-01-11 and 2.1.0 dated 2026-02-12
DESCRIPTION | 8 MD5 | 35 +- NAMESPACE | 3 R/cv.varpro.R | 12 R/ivarpro.R | 357 ++++++++++++++++------ R/predict.ivarpro.R |only R/utilities_cv_varpro.R | 13 R/utilities_hotencode.R | 2 R/utilities_ivarpro.R | 668 ++++++++++++++++++++++++++++++++++++++--- R/varpro.R | 50 +-- data/datalist | 1 data/hrrecov.rda |only inst/NEWS | 10 man/alzheimers.Rd | 66 ++-- man/cv.varpro.Rd | 4 man/hrrecov.Rd |only man/ivarpro.Rd | 741 ++++++++++++++++++++++++---------------------- man/partial.ivarpro.Rd |only man/predict.ivarpro.Rd |only man/utilities_internal.Rd | 1 man/varpro.Rd | 13 21 files changed, 1396 insertions(+), 588 deletions(-)
Title: Simulation Methods for Legislative Redistricting
Description: Enables researchers to sample redistricting plans from a pre-specified
target distribution using Sequential Monte Carlo and Markov Chain Monte Carlo
algorithms. The package allows for the implementation of various constraints in
the redistricting process such as geographic compactness and population parity
requirements. Tools for analysis such as computation of various summary statistics
and plotting functionality are also included. The package implements the SMC
algorithm of McCartan and Imai (2023) <doi:10.1214/23-AOAS1763>, the enumeration
algorithm of Fifield, Imai, Kawahara, and Kenny (2020) <doi:10.1080/2330443X.2020.1791773>,
the Flip MCMC algorithm of Fifield, Higgins, Imai and Tarr (2020) <doi:10.1080/10618600.2020.1739532>,
the Merge-split/Recombination algorithms of Carter et al. (2019) <doi:10.48550/arXiv.1911.01503>
and DeFord et al. (2021) <doi:10.1162/99608f92.eb30390f>, and the Short-burst
optimization algorithm of Cannon et al. (2020) < [...truncated...]
Author: Christopher T. Kenny [aut, cre] ,
Cory McCartan [aut] ,
Ben Fifield [aut] ,
Kosuke Imai [aut] ,
Jun Kawahara [ctb],
Alexander Tarr [ctb],
Michael Higgins [ctb]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>
Diff between redist versions 4.3.1 dated 2025-10-01 and 4.3.2 dated 2026-02-12
DESCRIPTION | 10 - MD5 | 44 ++-- NEWS.md | 9 R/RcppExports.R | 4 R/redistMPI.R | 8 R/redist_findparams.R | 18 + R/redist_flip.R | 338 ++++++++++++++++++++++++++----------- R/redist_shortburst.R | 13 - R/skinny_flips.R | 7 README.md | 41 ---- build/partial.rdb |binary build/vignette.rds |binary inst/doc/common_args.html | 6 inst/doc/flip.html | 106 +++++++++-- inst/doc/map-preproc.html | 58 +++--- inst/doc/redist.Rmd | 4 inst/doc/redist.html | 10 - man/redist_flip.Rd | 42 +++- src/RcppExports.cpp | 11 - src/map_calc.cpp | 13 - src/sw_mh_alg.cpp | 17 + tests/testthat/test_skinny_flips.R | 7 vignettes/redist.Rmd | 4 23 files changed, 511 insertions(+), 259 deletions(-)
Title: Calculate Mass Properties and Uncertainties of Tree Structures
Description: Recursively calculates mass properties (mass, center of mass, moments and products of inertia, and optionally, their uncertainties) for arbitrary decomposition trees. R. L. Zimmerman, J. H. Nakai. (2005) <https://www.sawe.org/product/paper-3360/>).
Author: James Steven Jenkins [aut, cre, cph]
Maintainer: James Steven Jenkins <sjenkins@studioj.us>
Diff between massProps versions 0.3.4 dated 2026-01-29 and 0.3.5 dated 2026-02-12
DESCRIPTION | 8 +-- MD5 | 20 ++++----- NAMESPACE | 2 NEWS.md | 4 + R/massprops-package.R | 2 R/massprops.R | 104 ++++++++++++++++++++++++------------------------ README.md | 2 build/vignette.rds |binary inst/doc/massProps.Rmd | 8 +-- inst/doc/massProps.html | 8 +-- vignettes/massProps.Rmd | 8 +-- 11 files changed, 87 insertions(+), 79 deletions(-)
Title: Post-Estimation Utilities for 'lavaan' Fitted Models
Description: Companion toolbox for structural equation models fitted with 'lavaan'. Provides post-estimation diagnostics and graphics that operate directly on a fitted object using its estimates and covariance, and refits auxiliary models when needed. The package relies on 'lavaan' (Rosseel, 2012) <doi:10.18637/jss.v048.i02>.
Author: Giuseppe Corbelli [aut, cre]
Maintainer: Giuseppe Corbelli <giuseppe.corbelli@uninettunouniversity.net>
Diff between lavinteract versions 0.4.5 dated 2026-02-10 and 0.4.6 dated 2026-02-12
DESCRIPTION | 6 +++--- MD5 | 6 +++--- NEWS.md | 4 ++++ R/lav_fdr.R | 12 +++++++----- 4 files changed, 17 insertions(+), 11 deletions(-)
Title: Toolkit for Data Processing, Quality, and Statistical Models
Description: Offers tools for data formatting, anomaly detection, and classification
of tree-ring data using spatial comparisons and cross-correlation.
Supports flexible detrending and climate–growth modeling via generalized
additive mixed models (Wood 2017, ISBN:978-1498728331) and the 'mgcv'
package (<https://CRAN.R-project.org/package=mgcv>), enabling robust
analysis of non-linear trends and autocorrelated data. Provides
standardized visual reporting, including summaries, diagnostics, and
model performance. Compatible with '.rwl' files and tailored for the
Canadian Forest Service Tree-Ring Data (CFS-TRenD) repository
(Girardin et al. (2021) <doi:10.1139/er-2020-0099>), offering
a comprehensive and adaptable framework for dendrochronologists working
with large and complex datasets.
Author: Xiao Jing Guo [aut, cre],
Martin Girardin [aut],
Juha Metsaranta [aut],
David Gervais [aut],
Elizabeth Campbell [aut]
Maintainer: Xiao Jing Guo <xiaojing.guo@nrcan-rncan.gc.ca>
This is a re-admission after prior archival of version 0.2.1 dated 2026-01-29
Diff between growthTrendR versions 0.2.1 dated 2026-01-29 and 0.2.2 dated 2026-02-12
DESCRIPTION | 10 +++++----- MD5 | 14 +++++++------- NAMESPACE | 3 +-- R/graphing.R | 4 ++-- R/imports.R | 4 ++-- R/quality_assessment.R | 10 ++++++++-- R/utils.R | 2 +- man/generate_report.Rd | 4 ++-- 8 files changed, 28 insertions(+), 23 deletions(-)
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 2.5.2 dated 2025-08-25 and 2.5.10 dated 2026-02-12
ggpicrust2-2.5.10/ggpicrust2/DESCRIPTION | 24 ggpicrust2-2.5.10/ggpicrust2/MD5 | 188 + ggpicrust2-2.5.10/ggpicrust2/NAMESPACE | 15 ggpicrust2-2.5.10/ggpicrust2/NEWS.md |only ggpicrust2-2.5.10/ggpicrust2/R/compare_daa_results.R | 149 - ggpicrust2-2.5.10/ggpicrust2/R/compare_gsea_daa.R | 56 ggpicrust2-2.5.10/ggpicrust2/R/compare_metagenome_results.R | 73 ggpicrust2-2.5.10/ggpicrust2/R/daa_annotated_results_df.R | 2 ggpicrust2-2.5.10/ggpicrust2/R/daa_results_df.R | 2 ggpicrust2-2.5.10/ggpicrust2/R/data_documentation.R |only ggpicrust2-2.5.10/ggpicrust2/R/data_utils.R |only ggpicrust2-2.5.10/ggpicrust2/R/ggpicrust2.R | 273 +- ggpicrust2-2.5.10/ggpicrust2/R/gsea_pathway_annotation.R | 277 +- ggpicrust2-2.5.10/ggpicrust2/R/kegg_abundance.R | 2 ggpicrust2-2.5.10/ggpicrust2/R/ko2kegg_abundance.R | 427 +--- ggpicrust2-2.5.10/ggpicrust2/R/ko_abundance.R | 2 ggpicrust2-2.5.10/ggpicrust2/R/metadata.R | 2 ggpicrust2-2.5.10/ggpicrust2/R/pathway_annotation.R | 408 +--- ggpicrust2-2.5.10/ggpicrust2/R/pathway_daa.R | 909 +++------ ggpicrust2-2.5.10/ggpicrust2/R/pathway_errorbar.R | 301 +-- ggpicrust2-2.5.10/ggpicrust2/R/pathway_errorbar_table.R | 20 ggpicrust2-2.5.10/ggpicrust2/R/pathway_gsea.R | 979 ++++++---- ggpicrust2-2.5.10/ggpicrust2/R/pathway_heatmap.R | 155 - ggpicrust2-2.5.10/ggpicrust2/R/pathway_pca.R | 157 - ggpicrust2-2.5.10/ggpicrust2/R/pathway_ridgeplot.R |only ggpicrust2-2.5.10/ggpicrust2/R/pathway_volcano.R |only ggpicrust2-2.5.10/ggpicrust2/R/visualize_gsea.R | 283 +- ggpicrust2-2.5.10/ggpicrust2/README.md |only ggpicrust2-2.5.10/ggpicrust2/build |only ggpicrust2-2.5.10/ggpicrust2/data/daa_annotated_results_df.rda |only ggpicrust2-2.5.10/ggpicrust2/data/daa_results_df.rda |only ggpicrust2-2.5.10/ggpicrust2/data/ec_reference.rda |only ggpicrust2-2.5.10/ggpicrust2/data/kegg_abundance.rda |only ggpicrust2-2.5.10/ggpicrust2/data/kegg_pathway_reference.rda |only ggpicrust2-2.5.10/ggpicrust2/data/ko_abundance.rda |only ggpicrust2-2.5.10/ggpicrust2/data/ko_reference.rda |only ggpicrust2-2.5.10/ggpicrust2/data/ko_to_go_reference.rda |only ggpicrust2-2.5.10/ggpicrust2/data/ko_to_kegg_reference.rda |only ggpicrust2-2.5.10/ggpicrust2/data/metacyc_abundance.rda |only ggpicrust2-2.5.10/ggpicrust2/data/metacyc_reference.rda |only ggpicrust2-2.5.10/ggpicrust2/data/metacyc_to_ec_reference.rda |only ggpicrust2-2.5.10/ggpicrust2/data/metadata.rda |only ggpicrust2-2.5.10/ggpicrust2/inst/doc |only ggpicrust2-2.5.10/ggpicrust2/man/build_design_matrix.Rd |only ggpicrust2-2.5.10/ggpicrust2/man/calculate_abundance_stats.Rd |only ggpicrust2-2.5.10/ggpicrust2/man/calculate_log2_fold_change.Rd |only ggpicrust2-2.5.10/ggpicrust2/man/calculate_pseudocount.Rd |only ggpicrust2-2.5.10/ggpicrust2/man/compare_daa_results.Rd | 54 ggpicrust2-2.5.10/ggpicrust2/man/compare_gsea_daa.Rd | 6 ggpicrust2-2.5.10/ggpicrust2/man/compare_metagenome_results.Rd | 31 ggpicrust2-2.5.10/ggpicrust2/man/create_heatmap_plot.Rd | 5 ggpicrust2-2.5.10/ggpicrust2/man/create_network_plot.Rd | 5 ggpicrust2-2.5.10/ggpicrust2/man/data_utils.Rd |only ggpicrust2-2.5.10/ggpicrust2/man/dot-as_color_vector.Rd |only ggpicrust2-2.5.10/ggpicrust2/man/dot-build_continuous_scale.Rd |only ggpicrust2-2.5.10/ggpicrust2/man/dot-build_discrete_fill_for_direction.Rd |only ggpicrust2-2.5.10/ggpicrust2/man/dot-build_heatmap_col_fun.Rd |only ggpicrust2-2.5.10/ggpicrust2/man/dot-is_ggplot_scale.Rd |only ggpicrust2-2.5.10/ggpicrust2/man/ec_reference.Rd |only ggpicrust2-2.5.10/ggpicrust2/man/ggpicrust2.Rd | 49 ggpicrust2-2.5.10/ggpicrust2/man/gsea_pathway_annotation.Rd | 4 ggpicrust2-2.5.10/ggpicrust2/man/kegg_pathway_reference.Rd |only ggpicrust2-2.5.10/ggpicrust2/man/ko2kegg_abundance.Rd | 97 ggpicrust2-2.5.10/ggpicrust2/man/ko_reference.Rd |only ggpicrust2-2.5.10/ggpicrust2/man/ko_to_go_reference.Rd |only ggpicrust2-2.5.10/ggpicrust2/man/ko_to_kegg_reference.Rd |only ggpicrust2-2.5.10/ggpicrust2/man/metacyc_reference.Rd |only ggpicrust2-2.5.10/ggpicrust2/man/metacyc_to_ec_reference.Rd |only ggpicrust2-2.5.10/ggpicrust2/man/pathway_annotation.Rd | 41 ggpicrust2-2.5.10/ggpicrust2/man/pathway_daa.Rd | 72 ggpicrust2-2.5.10/ggpicrust2/man/pathway_gsea.Rd | 136 + ggpicrust2-2.5.10/ggpicrust2/man/pathway_heatmap.Rd | 4 ggpicrust2-2.5.10/ggpicrust2/man/pathway_pca.Rd | 32 ggpicrust2-2.5.10/ggpicrust2/man/pathway_ridgeplot.Rd |only ggpicrust2-2.5.10/ggpicrust2/man/pathway_volcano.Rd |only ggpicrust2-2.5.10/ggpicrust2/man/prepare_gene_sets.Rd | 6 ggpicrust2-2.5.10/ggpicrust2/man/require_column.Rd |only ggpicrust2-2.5.10/ggpicrust2/man/run_fgsea.Rd | 8 ggpicrust2-2.5.10/ggpicrust2/man/run_limma_gsea.Rd |only ggpicrust2-2.5.10/ggpicrust2/man/validate_daa_results.Rd |only ggpicrust2-2.5.10/ggpicrust2/man/visualize_gsea.Rd | 14 ggpicrust2-2.5.10/ggpicrust2/tests/testthat.R |only ggpicrust2-2.5.10/ggpicrust2/tests/testthat/Rplots.pdf |only ggpicrust2-2.5.10/ggpicrust2/tests/testthat/helper-gsea.R |only ggpicrust2-2.5.10/ggpicrust2/tests/testthat/test-ggpicrust2-return-structure.R |only ggpicrust2-2.5.10/ggpicrust2/tests/testthat/test-go_pathway_support.R | 244 -- ggpicrust2-2.5.10/ggpicrust2/tests/testthat/test-gsea_pathway_annotation.R | 184 - ggpicrust2-2.5.10/ggpicrust2/tests/testthat/test-ko2kegg_abundance.R | 169 - ggpicrust2-2.5.10/ggpicrust2/tests/testthat/test-pathway_annotation.R | 551 ----- ggpicrust2-2.5.10/ggpicrust2/tests/testthat/test-pathway_daa.R | 368 ++- ggpicrust2-2.5.10/ggpicrust2/tests/testthat/test-pathway_errorbar.R | 420 +--- ggpicrust2-2.5.10/ggpicrust2/tests/testthat/test-pathway_gsea.R | 231 -- ggpicrust2-2.5.10/ggpicrust2/tests/testthat/test-pathway_heatmap.R | 374 --- ggpicrust2-2.5.10/ggpicrust2/tests/testthat/test-pathway_pca.R | 292 -- ggpicrust2-2.5.10/ggpicrust2/tests/testthat/test-pathway_ridgeplot.R |only ggpicrust2-2.5.10/ggpicrust2/tests/testthat/test-pathway_volcano.R |only ggpicrust2-2.5.10/ggpicrust2/tests/testthat/test-reference_data_structure.R |only ggpicrust2-2.5.10/ggpicrust2/tests/testthat/test-visualize_gsea.R | 311 --- ggpicrust2-2.5.10/ggpicrust2/vignettes |only ggpicrust2-2.5.2/ggpicrust2/R/ggpicrust2_extended.R |only ggpicrust2-2.5.2/ggpicrust2/R/sysdata.rda |only ggpicrust2-2.5.2/ggpicrust2/data/daa_annotated_results_df.RData |only ggpicrust2-2.5.2/ggpicrust2/data/daa_results_df.RData |only ggpicrust2-2.5.2/ggpicrust2/data/kegg_abundance.RData |only ggpicrust2-2.5.2/ggpicrust2/data/ko_abundance.RData |only ggpicrust2-2.5.2/ggpicrust2/data/metacyc_abundance.RData |only ggpicrust2-2.5.2/ggpicrust2/data/metadata.RData |only ggpicrust2-2.5.2/ggpicrust2/inst/PICRUST_COMPATIBILITY.md |only ggpicrust2-2.5.2/ggpicrust2/inst/extdata/create_metacyc_to_ec_mapping.R |only ggpicrust2-2.5.2/ggpicrust2/man/create_basic_go_mapping.Rd |only ggpicrust2-2.5.2/ggpicrust2/man/ggpicrust2_extended.Rd |only ggpicrust2-2.5.2/ggpicrust2/man/validate_abundance_data.Rd |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/TEST_SUITE_DOCUMENTATION.md |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/helper-skip.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-compare_gsea_daa-comprehensive.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-compare_gsea_daa.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-compare_gsea_daa_advanced.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-cross_pathway_consistency.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-error_handling_edge_cases.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-ggpicrust2_extended.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-gsea_core_functions.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-gsea_mathematical_correctness.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-gsea_pathway_annotation-comprehensive-fixed.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-gsea_pathway_annotation-comprehensive.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-gsea_utilities_final.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-gsea_utility_functions_working.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-heatmap_plot_detailed.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-issue-166.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-metacyc_annotation_system.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-metacyc_error_handling_edge_cases.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-metacyc_gsea_implementation.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-metacyc_reference_data_loading.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-network_plot_detailed.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-p-value-formatting.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-pathway_errorbar-comprehensive.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-picrust-compatibility.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-visualize_gsea_edge_cases.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-visualize_gsea_helper_functions.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test-visualize_gsea_pathway_labels.R |only ggpicrust2-2.5.2/ggpicrust2/tests/testthat/test_examples.R |only 140 files changed, 3381 insertions(+), 5031 deletions(-)
Title: Handling Missing Values with Multivariate Data Analysis
Description: Imputation of incomplete continuous or categorical datasets; Missing values are imputed with a principal component analysis (PCA), a multiple correspondence analysis (MCA) model or a multiple factor analysis (MFA) model; Perform multiple imputation with and in PCA or MCA.
Author: Francois Husson [aut, cre] ,
Julie Josse [aut]
Maintainer: Francois Husson <francois.husson@institut-agro.fr>
Diff between missMDA versions 1.20 dated 2025-07-23 and 1.21 dated 2026-02-12
DESCRIPTION | 10 +- MD5 | 16 ++-- NAMESPACE | 2 R/MIFAMD.R | 108 +++++++++++-------------------- R/plot.MIFAMD.R |only R/plot.MIMCA.R | 182 +++++++++++++++++++++++++++-------------------------- R/plot.MIPCA.R | 96 +++++++++++++-------------- man/MIFAMD.Rd | 4 - man/plot.MIFAMD.Rd |only man/plot.MIMCA.Rd | 3 10 files changed, 195 insertions(+), 226 deletions(-)
Title: Interface Between R and the OpenStreetMap-Based Routing Service
'Valhalla'
Description: An interface between R and the 'Valhalla' API. 'Valhalla' is a
routing service based on 'OpenStreetMap' data.
See <https://valhalla.github.io/valhalla/> for more information.
This package enables the computation of routes, trips, isochrones and
travel distances matrices (travel time and kilometer distance).
Author: Timothee Giraud [cre, aut] ,
Matthieu Viry [aut]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>
Diff between valh versions 0.1.0 dated 2025-04-09 and 0.2.0 dated 2026-02-12
DESCRIPTION | 15 +- MD5 | 36 +++--- NEWS.md | 11 +- R/utils.R | 5 R/vl_elevation.R | 11 -- R/vl_isochrone.R | 11 -- R/vl_locate.R | 7 - R/vl_matrix.R | 10 - R/vl_optimized_route.R | 11 -- R/vl_route.R | 11 -- R/vl_status.R | 13 +- README.md | 222 +++++++++++++++++++++++++++++++---------- build/vignette.rds |binary inst/doc/install-valhalla.Rmd | 29 ++--- inst/doc/install-valhalla.html | 47 ++++---- man/figures |only man/vl_status.Rd | 2 vignettes/install-valhalla.Rmd | 29 ++--- 18 files changed, 297 insertions(+), 173 deletions(-)
Title: R and C++ Interfaces to 'spdlog' C++ Header Library for Logging
Description: The mature and widely-used C++ logging library 'spdlog' by Gabi Melman provides
many desirable features. This package bundles these header files for easy use by R packages
from both their R and C or C++ code. Explicit use via 'LinkingTo:' is also supported. Also
see the 'spdl' package which enhanced this package with a consistent R and C++ interface.
Author: Dirk Eddelbuettel [aut, cre] ,
Gabi Melman [aut] ,
Victor Zverovic [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between RcppSpdlog versions 0.0.26 dated 2026-01-16 and 0.0.27 dated 2026-02-12
ChangeLog | 15 +++++++++++++++ DESCRIPTION | 8 ++++---- MD5 | 12 ++++++------ build/partial.rdb |binary inst/NEWS.Rd | 7 +++++++ inst/include/RcppSpdlog | 16 +++++++++------- src/formatter.cpp | 23 +++++++++++++++++++++++ 7 files changed, 64 insertions(+), 17 deletions(-)
Title: Functionalities for the 'INLA' Package
Description: Contain code to work with a C struct, in short
cgeneric, to define a Gaussian Markov random (GMRF) model.
The cgeneric contain code to specify GMRF elements such as
the graph and the precision matrix, and also the initial and
prior for its parameters, useful for model inference.
It can be accessed from a C program and is the recommended
way to implement new GMRF models in the 'INLA' package
(<https://www.r-inla.org>).
The 'INLAtools' implement functions to evaluate
each one of the model specifications from R.
The implemented functionalities leverage the use
of 'cgeneric' models and provide a way to debug
the code as well to work with the prior for the
model parameters and to sample from it.
A very useful functionality is the Kronecker product method
that creates a new model from multiple cgeneric models.
It also works with the rgeneric, the R version of the
cgeneric intended to easy try implementation of new GMRF models.
The Kronecker between two cgeneric models was used in
Sterr [...truncated...]
Author: Elias Teixeira Krainski [cre, aut, cph] ,
Finn Lindgren [aut] ,
Haavard Rue’ [aut]
Maintainer: Elias Teixeira Krainski <eliaskrainski@gmail.com>
Diff between INLAtools versions 0.0.8 dated 2026-02-02 and 0.0.9 dated 2026-02-12
DESCRIPTION | 9 ++---- MD5 | 20 +++++++------- NAMESPACE | 1 R/aaa_methods.R | 13 +++------ R/cgeneric.R | 35 +++++++++++++++--------- R/cgeneric_generic0.R | 66 ++++++++++++++++++++++++++--------------------- R/kronecker.R | 4 +- R/rgeneric.R | 44 +++++++++++++++++-------------- man/INLAtools-methods.Rd | 4 +- man/cgeneric-class.Rd | 2 - man/rgeneric-class.Rd | 13 +++------ 11 files changed, 114 insertions(+), 97 deletions(-)
Title: Estimating Public Transport Emissions from General Transit Feed
Specification (GTFS) Data
Description: A bottom up model to estimate the emission levels of public transport systems based on General Transit Feed Specification (GTFS) data. The package requires two main inputs: i) Public transport data in the GTFS standard format; and ii) Some basic information on fleet characteristics such as fleet age, technology, fuel and Euro stage. As it stands, the package estimates several pollutants at high spatial and temporal resolutions. Pollution levels can be calculated for specific transport routes, trips, time of the day or for the transport system as a whole. The output with emission estimates can be extracted in different formats, supporting analysis on how emission levels vary across space, time and by fleet characteristics. A full description of the methods used in the 'gtfs2emis' model is presented in Vieira, J. P. B.; Pereira, R. H. M.; Andrade, P. R. (2022) <doi:10.31219/osf.io/8m2cy>.
Author: Joao Bazzo [aut, cre] ,
Rafael H. M. Pereira [aut] ,
Pedro R. Andrade [aut] ,
Sergio Ibarra-Espinosa [ctb] ,
Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Joao Bazzo <joao.bazzo@gmail.com>
Diff between gtfs2emis versions 0.1.1 dated 2024-12-02 and 0.1.2 dated 2026-02-12
DESCRIPTION | 22 LICENSE | 4 MD5 | 126 +- NAMESPACE | 42 NEWS.md | 21 R/data.R | 280 ++--- R/ef_brazil_cetesb.R | 244 ++-- R/ef_europe_emep.R | 762 +++++++------- R/ef_scaled_euro.R | 458 ++++---- R/ef_usa_emfac.R | 314 +++--- R/ef_usa_moves.R | 320 +++--- R/emi_europe_emep_wear.R | 696 ++++++------- R/emis_grid.R | 660 ++++++------ R/emis_summary.R | 322 +++--- R/emis_to_dt.R | 306 ++--- R/emission_model.R | 1038 ++++++++++---------- R/fuel_correction.R | 198 +-- R/multiply_ef.R | 250 ++-- R/slope_class_europe_emep.R | 230 ++-- R/transport_model.R | 488 ++++----- R/utils.R | 56 - README.md | 538 +++++----- build/vignette.rds |binary inst/CITATION | 30 inst/doc/gtfs2emis_emission_factor.R | 258 ++--- inst/doc/gtfs2emis_emission_factor.Rmd | 578 +++++------ inst/doc/gtfs2emis_emission_factor.html | 1272 ++++++++++++------------ inst/doc/gtfs2emis_fleet_data.R | 96 - inst/doc/gtfs2emis_fleet_data.Rmd | 280 ++--- inst/doc/gtfs2emis_fleet_data.html | 1153 +++++++++++----------- inst/doc/gtfs2emis_intro_vignette.R | 300 ++--- inst/doc/gtfs2emis_intro_vignette.Rmd | 604 +++++------ inst/doc/gtfs2emis_intro_vignette.html | 1549 +++++++++++++++--------------- inst/doc/gtfs2emis_non_exhaust_ef.R | 308 ++--- inst/doc/gtfs2emis_non_exhaust_ef.Rmd | 648 ++++++------ inst/doc/gtfs2emis_non_exhaust_ef.html | 1647 ++++++++++++++++---------------- inst/extdata/bra_cur_fleet.txt | 222 ++-- inst/extdata/irl_dub_fleet.txt | 10 inst/extdata/usa_det_fleet.txt | 20 man/ef_brazil_cetesb.Rd | 138 +- man/ef_brazil_cetesb_db.Rd | 78 - man/ef_europe_emep.Rd | 210 ++-- man/ef_europe_emep_db.Rd | 132 +- man/ef_scaled_euro.Rd | 236 ++-- man/ef_usa_emfac.Rd | 148 +- man/ef_usa_emfac_db.Rd | 96 - man/ef_usa_moves.Rd | 146 +- man/ef_usa_moves_db.Rd | 114 +- man/emi_europe_emep_wear.Rd | 418 ++++---- man/emis_grid.Rd | 186 +-- man/emis_summary.Rd | 188 +-- man/emis_to_dt.Rd | 170 +-- man/emission_model.Rd | 426 ++++---- man/fuel_correction.Rd | 70 - man/multiply_ef.Rd | 84 - man/roxygen/templates/as_list.R | 6 man/roxygen/templates/fuel.R | 4 man/roxygen/templates/reference_year.R | 4 man/slope_class_europe_emep.Rd | 132 +- man/transport_model.Rd | 206 ++-- vignettes/gtfs2emis_emission_factor.Rmd | 578 +++++------ vignettes/gtfs2emis_fleet_data.Rmd | 280 ++--- vignettes/gtfs2emis_intro_vignette.Rmd | 604 +++++------ vignettes/gtfs2emis_non_exhaust_ef.Rmd | 648 ++++++------ 64 files changed, 10829 insertions(+), 10823 deletions(-)
Title: Functions for Epidemiological Analysis using Population Data
Description: Enables computation of epidemiological statistics, including
those where counts or mortality rates of the reference population are
used. Currently supported: excess hazard models (Dickman, Sloggett,
Hills, and Hakulinen (2012) <doi:10.1002/sim.1597>), rates, mean
survival times, relative/net survival (in particular the Ederer II
(Ederer and Heise (1959)) and Pohar Perme (Pohar Perme, Stare, and
Esteve (2012) <doi:10.1111/j.1541-0420.2011.01640.x>) estimators), and
standardized incidence and mortality ratios, all of which can be
easily adjusted for by covariates such as age. Fast splitting and
aggregation of 'Lexis' objects (from package 'Epi') and other
computations achieved using 'data.table'.
Author: Joonas Miettinen [cre, aut] ,
Matti Rantanen [aut],
Karri Seppa [ctb]
Maintainer: Joonas Miettinen <joonas.miettinen@cancer.fi>
Diff between popEpi versions 0.4.13 dated 2025-01-31 and 0.4.14 dated 2026-02-12
popEpi-0.4.13/popEpi/tests/testthat/test_Surv.R |only popEpi-0.4.14/popEpi/DESCRIPTION | 9 ++++---- popEpi-0.4.14/popEpi/MD5 | 15 ++++++------- popEpi-0.4.14/popEpi/NEWS.md | 4 +++ popEpi-0.4.14/popEpi/R/Surv.R | 4 --- popEpi-0.4.14/popEpi/build/partial.rdb |binary popEpi-0.4.14/popEpi/build/vignette.rds |binary popEpi-0.4.14/popEpi/inst/doc/sir.html | 12 +++++----- popEpi-0.4.14/popEpi/inst/doc/survtab_examples.html | 22 ++++++++++---------- 9 files changed, 33 insertions(+), 33 deletions(-)
Title: Network Analysis and Visualization
Description: Routines for simple graphs and network analysis. It can
handle large graphs very well and provides functions for generating
random and regular graphs, graph visualization, centrality methods and
much more.
Author: Gabor Csardi [aut] ,
Tamas Nepusz [aut] ,
Vincent Traag [aut] ,
Szabolcs Horvat [aut] ,
Fabio Zanini [aut] ,
Daniel Noom [aut],
Kirill Mueller [aut, cre] ,
Michael Antonov [ctb],
Chan Zuckerberg Initiative [fnd] ,
David Schoch [aut] ,
Maelle Salmon [a [...truncated...]
Maintainer: Kirill Mueller <kirill@cynkra.com>
Diff between igraph versions 2.2.1 dated 2025-10-27 and 2.2.2 dated 2026-02-12
DESCRIPTION | 6 ++-- MD5 | 20 +++++++------- NEWS.md | 7 +++++ R/games.R | 2 - R/versions.R | 2 - build/partial.rdb |binary build/vignette.rds |binary inst/doc/igraph.html | 65 ++++++++++++++++++++++++------------------------ inst/doc/igraph_ES.html | 63 +++++++++++++++++++++++----------------------- man/sample_degseq.Rd | 2 - src/rinterface_extra.c | 9 ++---- 11 files changed, 91 insertions(+), 85 deletions(-)
Title: Statistical Analysis of Haplotypes with Traits and Covariates
when Linkage Phase is Ambiguous
Description: Routines for the analysis of indirectly measured haplotypes. The statistical methods assume that all subjects are unrelated and that haplotypes are ambiguous (due to unknown linkage phase of the genetic markers). The main functions are: haplo.em(), haplo.glm(), haplo.score(), and haplo.power(); all of which have detailed examples in the vignette.
Author: Schaid Daniel [aut],
Jason P. Sinnwell [aut, cre]
Maintainer: Jason P. Sinnwell <sinnwell.jason@mayo.edu>
Diff between haplo.stats versions 1.9.7 dated 2024-09-19 and 1.9.7.1 dated 2026-02-12
haplo.stats-1.9.7.1/haplo.stats/DESCRIPTION | 6 +++--- haplo.stats-1.9.7.1/haplo.stats/MD5 | 9 +++++---- haplo.stats-1.9.7.1/haplo.stats/build/vignette.rds |binary haplo.stats-1.9.7.1/haplo.stats/inst/doc/haplostats.pdf |binary haplo.stats-1.9.7.1/haplo.stats/inst/doc/manualHaploStats.pdf |only haplo.stats-1.9.7.1/haplo.stats/vignettes/manualHaploStats.pdf.asis |only haplo.stats-1.9.7/haplo.stats/vignettes/manualHaploStats.pdf |only 7 files changed, 8 insertions(+), 7 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-01-29 0.1.5
2024-01-14 0.1.4
2023-08-09 0.1.3
Title: Ordinal Relations
Description: Functions to handle ordinal relations reflected within the feature space. Those function allow to search for ordinal relations in multi-class datasets. One can check whether proposed relations are reflected in a specific feature representation. Furthermore, it provides functions to filter, organize and further analyze those ordinal relations.
Author: L Lausser [aut],
LM Schaefer [aut],
R Szekely [aut],
A Stolnicu [aut],
HA Kestler [aut, cre]
Maintainer: HA Kestler <hans.kestler@uni-ulm.de>
Diff between ORION versions 1.1.0 dated 2026-02-10 and 1.1.1 dated 2026-02-12
ORION-1.1.0/ORION/tests/testthat/test-e-svm-with-projection.R |only ORION-1.1.0/ORION/tests/testthat/test-e-svm-without-projection.R |only ORION-1.1.0/ORION/tests/testthat/test-tunePareto-svm-with-projection.R |only ORION-1.1.1/ORION/DESCRIPTION | 8 + ORION-1.1.1/ORION/MD5 | 16 +-- ORION-1.1.1/ORION/R/predictionMap.R | 45 +++------- ORION-1.1.1/ORION/inst/doc/ORION.html | 4 ORION-1.1.1/ORION/man/ORION-package.Rd | 1 ORION-1.1.1/ORION/man/predictionMap.Rd | 18 ---- ORION-1.1.1/ORION/tests/testthat/test-knn-with-projection.R |only ORION-1.1.1/ORION/tests/testthat/test-svm-with-projection.R |only ORION-1.1.1/ORION/tests/testthat/test-svm-without-projection.R |only 12 files changed, 36 insertions(+), 56 deletions(-)
Title: Search Download and Handle Data from Copernicus Marine Service
Information
Description: Subset and download data from EU Copernicus Marine
Service Information: <https://data.marine.copernicus.eu>.
Import data on the oceans physical and biogeochemical state
from Copernicus into R without the need of external software.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>
Diff between CopernicusMarine versions 0.3.7 dated 2025-11-30 and 0.4.0 dated 2026-02-12
DESCRIPTION | 20 - MD5 | 72 ++-- NAMESPACE | 51 +-- NEWS.md | 10 R/cms_catalogue_entry.R | 42 +- R/cms_cite_product.r | 1 R/cms_download_native.R | 59 +++ R/cms_download_subset.r | 501 +++++++------------------------ R/cms_login.r | 238 +++++++------- R/cms_product_details.r | 32 - R/cms_product_metadata.r | 14 R/cms_product_services.r | 1 R/cms_products_list.r | 28 - R/cms_wmts.r | 247 +++++++-------- R/generics.r | 137 ++++---- R/import.r | 2 R/translate.R | 250 +++++++-------- README.md | 419 ++++++++++++------------- inst/doc/translate.R | 6 inst/doc/translate.Rmd | 146 ++++----- inst/doc/translate.html | 8 man/account.Rd | 88 ++--- man/cms_download_native.Rd | 166 +++++----- man/cms_download_subset.Rd | 183 +++++------ man/cms_native_proxy.Rd |only man/cms_translate.Rd | 2 man/cms_wmts.Rd | 158 ++++----- man/cms_zarr_proxy.Rd |only man/figures/README-download-subset-1.png |binary man/figures/README-leaflet-1.png |binary tests/testthat.R | 8 tests/testthat/test-translate.R | 80 ++-- tests/testthat/test_login.r | 24 + tests/testthat/test_native.r | 17 + tests/testthat/test_product.r | 146 ++++----- tests/testthat/test_subset.r | 19 - tests/testthat/test_wmts.r | 112 +++--- vignettes/translate.Rmd | 146 ++++----- 38 files changed, 1632 insertions(+), 1801 deletions(-)
More information about CopernicusMarine at CRAN
Permanent link
Title: Single Cell Oriented Reconstruction of PANDA Individual
Optimized Networks
Description: Constructs cell-type–specific gene regulatory networks from single-cell RNA-sequencing data. The method implements the SCORPION algorithm, which first aggregates individual cells into supercells and then applies PANDA (Passing Attributes between Networks for Data Assimilation) to infer transcription factor–target regulatory relationships. It also provides statistical methods for differential edge analysis.
Author: Daniel Osorio [aut, cre] ,
Marieke L. Kuijjer [aut]
Maintainer: Daniel Osorio <daniecos@uio.no>
Diff between SCORPION versions 1.3.0 dated 2026-02-04 and 1.3.1 dated 2026-02-12
DESCRIPTION | 12 +-- MD5 | 8 +- NAMESPACE | 3 R/testEdges.R | 201 ++++++++++++++++++++++++++++++++++--------------------- man/testEdges.Rd | 30 ++++++-- 5 files changed, 162 insertions(+), 92 deletions(-)
Title: Stratified and Personalised Models Based on Model-Based Trees
and Forests
Description: Model-based trees for subgroup analyses in clinical trials and
model-based forests for the estimation and prediction of personalised
treatment effects (personalised models). Currently partitioning of linear
models, lm(), generalised linear models, glm(), and Weibull models,
survreg(), is supported. Advanced plotting functionality is supported for
the trees and a test for parameter heterogeneity is provided for the
personalised models. For details on model-based trees for subgroup analyses
see Seibold, Zeileis and Hothorn (2016) <doi:10.1515/ijb-2015-0032>; for
details on model-based forests for estimation of individual treatment effects
see Seibold, Zeileis and Hothorn (2017) <doi:10.1177/0962280217693034>.
Author: Heidi Seibold [aut, cre],
Achim Zeileis [aut],
Torsten Hothorn [aut]
Maintainer: Heidi Seibold <heidi@seibold.co>
This is a re-admission after prior archival of version 0.9-8 dated 2024-11-08
Diff between model4you versions 0.9-8 dated 2024-11-08 and 0.9-9 dated 2026-02-12
DESCRIPTION | 16 ++++++++-------- MD5 | 8 ++++---- NAMESPACE | 2 +- R/plot-pmtree.R | 38 +++++++++++++++++++++----------------- R/pmodel-test.R | 4 ++-- 5 files changed, 36 insertions(+), 32 deletions(-)
Title: Access Chinese Data via Public APIs and Curated Datasets
Description: Provides functions to access data from public RESTful APIs including 'Nager.Date',
'World Bank API', and 'REST Countries API', retrieving real-time or historical data
related to China, such as holidays, economic indicators, and international demographic
and geopolitical indicators. Additionally, the package includes one of the largest
curated collections of open datasets focused on China and Hong Kong, covering topics
such as air quality, demographics, input-output tables, epidemiology, political
structure, names, and social indicators. The package supports reproducible research
and teaching by integrating reliable international APIs and structured datasets from
public, academic, and government sources.
For more information on the APIs, see:
'Nager.Date' <https://date.nager.at/Api>,
'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>,
and 'REST Countries API' <https://restcountries.com/>.
Author: Renzo Caceres Rossi [aut, cre]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
This is a re-admission after prior archival of version 0.1.0 dated 2025-08-26
Diff between ChinAPIs versions 0.1.0 dated 2025-08-26 and 0.1.1 dated 2026-02-12
DESCRIPTION | 6 - LICENSE | 2 MD5 | 137 ++++++++++++------------ NAMESPACE | 1 NEWS.md |only R/chinapis-package.R | 4 R/data-documentation.R | 4 R/get_china_child_mortality.R | 47 ++++++-- R/get_china_cpi.R | 47 ++++++-- R/get_china_energy_use.R | 55 ++++++++- R/get_china_gdp.R | 65 +++++++++-- R/get_china_holidays.R | 77 ++++++++++--- R/get_china_hospital_beds.R | 59 +++++++--- R/get_china_life_expectancy.R | 56 +++++++-- R/get_china_literacy_rate.R | 47 ++++++-- R/get_china_population.R | 57 +++++++-- R/get_china_unemployment.R | 56 +++++++-- R/get_country_info_cn.R | 68 ++++++++--- R/utils.R | 4 R/view_datasets_ChinAPIs.R | 4 build/vignette.rds |binary inst/CITATION | 4 inst/doc/ChinAPIs_vignette.html | 5 man/get_china_holidays.Rd | 18 +-- tests/testthat/test-COVID19_HongKong_df.R | 4 tests/testthat/test-bj_air_quality_tbl_df.R | 4 tests/testthat/test-china_admin_divisions_df.R | 4 tests/testthat/test-china_cars_tbl_df.R | 4 tests/testthat/test-china_corruption_tbl_df.R | 4 tests/testthat/test-china_io_2002_122_df.R | 4 tests/testthat/test-china_io_2005_42_df.R | 4 tests/testthat/test-china_io_2007_135_df.R | 4 tests/testthat/test-china_io_2010_41_df.R | 4 tests/testthat/test-china_io_2012_139_df.R | 4 tests/testthat/test-china_io_2015_42_df.R | 4 tests/testthat/test-china_io_2017_149_df.R | 4 tests/testthat/test-china_io_2017_42_df.R | 4 tests/testthat/test-china_io_2018_153_df.R | 4 tests/testthat/test-china_io_2018_42_df.R | 4 tests/testthat/test-china_io_2020_153_df.R | 4 tests/testthat/test-china_io_2020_42_df.R | 4 tests/testthat/test-chinese_cities_tbl_df.R | 4 tests/testthat/test-chinese_dams_tbl_df.R | 4 tests/testthat/test-family_name_df.R | 4 tests/testthat/test-get_china_child_mortality.R | 36 ++++-- tests/testthat/test-get_china_cpi.R | 83 ++++---------- tests/testthat/test-get_china_energy_use.R | 74 +++++++----- tests/testthat/test-get_china_gdp.R | 111 ++++++++++--------- tests/testthat/test-get_china_holidays.R | 98 +++++++++-------- tests/testthat/test-get_china_hospital_beds.R | 92 +++++++--------- tests/testthat/test-get_china_life_expectancy.R | 72 ++++++++---- tests/testthat/test-get_china_literacy_rate.R | 70 ++++++++---- tests/testthat/test-get_china_population.R | 81 +++++++++----- tests/testthat/test-get_china_unemployment.R | 114 +++++-------------- tests/testthat/test-get_country_info_cn.R | 89 +++++++-------- tests/testthat/test-given_name_df.R | 4 tests/testthat/test-health_family_life_df.R | 4 tests/testthat/test-hk_councillors_tbl_df.R | 4 tests/testthat/test-hk_districts_tbl_df.R | 4 tests/testthat/test-hk_population_tbl_df.R | 4 tests/testthat/test-hk_street_names_tbl_df.R | 4 tests/testthat/test-panda_locations_df.R | 4 tests/testthat/test-sars_hong_kong_list.R | 4 tests/testthat/test-shanghai_factories_df.R | 4 tests/testthat/test-shanghai_pm25_df.R | 4 tests/testthat/test-top1000name_prov_df.R | 4 tests/testthat/test-top100name_year_df.R | 4 tests/testthat/test-top50char_year_df.R | 4 tests/testthat/test-view_datasets_ChinAPIs.R | 4 tests/testthat/test-wenchuan_ptsd_matrix.R | 4 70 files changed, 1122 insertions(+), 761 deletions(-)
Title: Sample Size and Power Calculation for Bayesian Testing with
Bayes Factor
Description: The goal of 'BayesPower' is to provide tools for Bayesian sample size determination and power analysis across a range of common hypothesis testing scenarios using Bayes factors. The main function, BayesPower_BayesFactor(), launches an interactive 'shiny' application for performing these analyses. The application also provides command-line code for reproducibility. Details of the methods are described in the tutorial by Wong, Pawel, and Tendeiro (2025) <doi:10.31234/osf.io/pgdac_v2>.
Author: Tsz Keung Wong [aut, cre],
Samuel Pawel [aut],
Jorge Tendeiro [aut]
Maintainer: Tsz Keung Wong <t.k.wong3004@gmail.com>
Diff between BayesPower versions 1.0.1 dated 2025-10-29 and 1.0.2 dated 2026-02-12
BayesPower-1.0.1/BayesPower/man/BF10.t.test.one_sample.Rd |only BayesPower-1.0.1/BayesPower/man/BF10.t.test.two_sample.Rd |only BayesPower-1.0.1/BayesPower/man/BFpower.f.Rd |only BayesPower-1.0.1/BayesPower/man/BFpower.t.test_one_sample.Rd |only BayesPower-1.0.1/BayesPower/man/BFpower.t.test_two_sample.Rd |only BayesPower-1.0.2/BayesPower/DESCRIPTION | 11 BayesPower-1.0.2/BayesPower/MD5 | 50 BayesPower-1.0.2/BayesPower/NAMESPACE | 26 BayesPower-1.0.2/BayesPower/R/BF_S3class.r |only BayesPower-1.0.2/BayesPower/R/BF_app_backend.R | 4510 ++++++---- BayesPower-1.0.2/BayesPower/R/BF_app_frontend.r | 3209 +++---- BayesPower-1.0.2/BayesPower/R/BF_app_helpers.r | 1004 +- BayesPower-1.0.2/BayesPower/R/BF_pval.r |only BayesPower-1.0.2/BayesPower/R/BF_users_functions.r | 3959 ++++++-- BayesPower-1.0.2/BayesPower/inst/report_templates/report_2p.Rmd | 48 BayesPower-1.0.2/BayesPower/inst/report_templates/report_bin.Rmd | 26 BayesPower-1.0.2/BayesPower/inst/report_templates/report_f.Rmd | 32 BayesPower-1.0.2/BayesPower/inst/report_templates/report_r.Rmd | 28 BayesPower-1.0.2/BayesPower/inst/report_templates/report_t1.Rmd | 39 BayesPower-1.0.2/BayesPower/inst/report_templates/report_t2.Rmd | 33 BayesPower-1.0.2/BayesPower/man/BF10.bin.test.Rd | 71 BayesPower-1.0.2/BayesPower/man/BF10.cor.Rd | 63 BayesPower-1.0.2/BayesPower/man/BF10.f.test.Rd | 45 BayesPower-1.0.2/BayesPower/man/BF10.props.Rd | 53 BayesPower-1.0.2/BayesPower/man/BF10.ttest.OneSample.Rd |only BayesPower-1.0.2/BayesPower/man/BF10.ttest.TwoSample.Rd |only BayesPower-1.0.2/BayesPower/man/BFpower.bin.Rd | 179 BayesPower-1.0.2/BayesPower/man/BFpower.cor.Rd | 194 BayesPower-1.0.2/BayesPower/man/BFpower.f.test.Rd |only BayesPower-1.0.2/BayesPower/man/BFpower.props.Rd | 168 BayesPower-1.0.2/BayesPower/man/BFpower.ttest.OneSample.Rd |only BayesPower-1.0.2/BayesPower/man/BFpower.ttest.TwoSample.Rd |only 32 files changed, 9071 insertions(+), 4677 deletions(-)
Title: Transition Network Analysis (TNA)
Description: Provides tools for performing Transition Network Analysis (TNA) to
study relational dynamics, including functions for building and plotting TNA
models, calculating centrality measures, and identifying dominant events and
patterns. TNA statistical techniques (e.g., bootstrapping and permutation
tests) ensure the reliability of observed insights and confirm that
identified dynamics are meaningful. See (Saqr et al., 2025)
<doi:10.1145/3706468.3706513> for more details on TNA.
Author: Mohammed Saqr [aut],
Santtu Tikka [aut],
Sonsoles Lopez-Pernas [aut, cre]
Maintainer: Sonsoles Lopez-Pernas <sonsoles.lopez@uef.fi>
Diff between tna versions 1.1.0 dated 2025-10-18 and 1.2.0 dated 2026-02-12
tna-1.1.0/tna/man/cluster_sequences.Rd |only tna-1.2.0/tna/DESCRIPTION | 13 tna-1.2.0/tna/MD5 | 207 tna-1.2.0/tna/NAMESPACE | 7 tna-1.2.0/tna/NEWS.md | 12 tna-1.2.0/tna/R/build.R | 314 - tna-1.2.0/tna/R/centralities.R | 91 tna-1.2.0/tna/R/check.R | 75 tna-1.2.0/tna/R/clusters.R | 335 + tna-1.2.0/tna/R/coef.R | 10 tna-1.2.0/tna/R/communities.R | 4 tna-1.2.0/tna/R/compare.R | 395 - tna-1.2.0/tna/R/data.R | 191 tna-1.2.0/tna/R/groups.R | 26 tna-1.2.0/tna/R/indices.R | 444 + tna-1.2.0/tna/R/mmm.R | 46 tna-1.2.0/tna/R/permutation.R | 59 tna-1.2.0/tna/R/plot.R | 607 +- tna-1.2.0/tna/R/print.R | 62 tna-1.2.0/tna/R/reliability.R |only tna-1.2.0/tna/R/simulate.R | 174 tna-1.2.0/tna/R/summary.R | 9 tna-1.2.0/tna/R/tna-package.R | 8 tna-1.2.0/tna/R/utilities.R | 45 tna-1.2.0/tna/R/vcov.R | 33 tna-1.2.0/tna/README.md | 205 tna-1.2.0/tna/data/engagement_mmm.rda |binary tna-1.2.0/tna/inst/doc/communities_and_cliques.R | 3 tna-1.2.0/tna/inst/doc/communities_and_cliques.Rmd | 12 tna-1.2.0/tna/inst/doc/communities_and_cliques.html | 13 tna-1.2.0/tna/inst/doc/complete_tutorial.R | 4 tna-1.2.0/tna/inst/doc/complete_tutorial.Rmd | 7 tna-1.2.0/tna/inst/doc/complete_tutorial.html | 36 tna-1.2.0/tna/inst/doc/grouped_sequences.R | 1 tna-1.2.0/tna/inst/doc/grouped_sequences.Rmd | 10 tna-1.2.0/tna/inst/doc/grouped_sequences.html | 4 tna-1.2.0/tna/inst/doc/tna.html | 2 tna-1.2.0/tna/man/bootstrap.Rd | 4 tna-1.2.0/tna/man/build_model.Rd | 81 tna-1.2.0/tna/man/centralities.Rd | 18 tna-1.2.0/tna/man/cluster_data.Rd |only tna-1.2.0/tna/man/compare.Rd | 12 tna-1.2.0/tna/man/compare.group_tna.Rd | 39 tna-1.2.0/tna/man/compare_sequences.Rd | 63 tna-1.2.0/tna/man/deprune.Rd | 4 tna-1.2.0/tna/man/estimate_centrality_stability.Rd | 23 tna-1.2.0/tna/man/figures/README-centralitiesplot-1.svg | 3821 ++++++++-------- tna-1.2.0/tna/man/figures/README-tnaplot-1.svg | 1991 ++++---- tna-1.2.0/tna/man/figures/README-tnaplot-2.svg | 1457 +++--- tna-1.2.0/tna/man/figures/README-unnamed-chunk-12-1.svg | 1991 ++++---- tna-1.2.0/tna/man/figures/README-unnamed-chunk-14-1.svg | 467 + tna-1.2.0/tna/man/figures/README-unnamed-chunk-16-1.svg | 3174 +++++++------ tna-1.2.0/tna/man/group_model.Rd | 11 tna-1.2.0/tna/man/import_data.Rd | 11 tna-1.2.0/tna/man/import_onehot.Rd | 52 tna-1.2.0/tna/man/permutation_test.Rd | 4 tna-1.2.0/tna/man/permutation_test.group_tna.Rd | 4 tna-1.2.0/tna/man/plot.group_tna.Rd | 11 tna-1.2.0/tna/man/plot.group_tna_bootstrap.Rd | 4 tna-1.2.0/tna/man/plot.group_tna_permutation.Rd | 4 tna-1.2.0/tna/man/plot.group_tna_stability.Rd | 4 tna-1.2.0/tna/man/plot.tna.Rd | 17 tna-1.2.0/tna/man/plot.tna_bootstrap.Rd | 4 tna-1.2.0/tna/man/plot.tna_communities.Rd | 5 tna-1.2.0/tna/man/plot.tna_comparison.Rd | 10 tna-1.2.0/tna/man/plot.tna_permutation.Rd | 4 tna-1.2.0/tna/man/plot.tna_reliability.Rd |only tna-1.2.0/tna/man/plot.tna_sequence_comparison.Rd | 3 tna-1.2.0/tna/man/plot.tna_stability.Rd | 4 tna-1.2.0/tna/man/plot_frequencies.group_tna.Rd | 19 tna-1.2.0/tna/man/plot_mosaic.Rd | 5 tna-1.2.0/tna/man/plot_mosaic.group_tna.Rd | 7 tna-1.2.0/tna/man/plot_mosaic.tna_data.Rd | 5 tna-1.2.0/tna/man/prepare_data.Rd | 1 tna-1.2.0/tna/man/print.group_tna_bootstrap.Rd | 4 tna-1.2.0/tna/man/print.group_tna_permutation.Rd | 4 tna-1.2.0/tna/man/print.group_tna_stability.Rd | 4 tna-1.2.0/tna/man/print.summary.group_tna_bootstrap.Rd | 4 tna-1.2.0/tna/man/print.summary.tna_bootstrap.Rd | 4 tna-1.2.0/tna/man/print.tna_bootstrap.Rd | 4 tna-1.2.0/tna/man/print.tna_clustering.Rd |only tna-1.2.0/tna/man/print.tna_data.Rd | 1 tna-1.2.0/tna/man/print.tna_permutation.Rd | 4 tna-1.2.0/tna/man/print.tna_reliability.Rd |only tna-1.2.0/tna/man/print.tna_stability.Rd | 4 tna-1.2.0/tna/man/prune.Rd | 8 tna-1.2.0/tna/man/pruning_details.Rd | 4 tna-1.2.0/tna/man/reliability.Rd |only tna-1.2.0/tna/man/reprune.Rd | 4 tna-1.2.0/tna/man/simulate.group_tna.Rd |only tna-1.2.0/tna/man/simulate.tna.Rd | 29 tna-1.2.0/tna/man/summary.group_tna_bootstrap.Rd | 4 tna-1.2.0/tna/man/summary.tna_bootstrap.Rd | 4 tna-1.2.0/tna/tests/testthat/helper-mock.R | 10 tna-1.2.0/tna/tests/testthat/test-build.R | 83 tna-1.2.0/tna/tests/testthat/test-check.R | 113 tna-1.2.0/tna/tests/testthat/test-clusters.R | 375 + tna-1.2.0/tna/tests/testthat/test-compare.R | 25 tna-1.2.0/tna/tests/testthat/test-data.R | 119 tna-1.2.0/tna/tests/testthat/test-indices.R | 20 tna-1.2.0/tna/tests/testthat/test-mmm.R | 371 + tna-1.2.0/tna/tests/testthat/test-plot.R | 77 tna-1.2.0/tna/tests/testthat/test-print.R | 25 tna-1.2.0/tna/tests/testthat/test-reliability.R |only tna-1.2.0/tna/tests/testthat/test-simulate.R | 197 tna-1.2.0/tna/vignettes/articles/atna.Rmd |only tna-1.2.0/tna/vignettes/articles/new-docs.Rmd |only tna-1.2.0/tna/vignettes/communities_and_cliques.Rmd | 12 tna-1.2.0/tna/vignettes/complete_tutorial.Rmd | 7 tna-1.2.0/tna/vignettes/grouped_sequences.Rmd | 10 110 files changed, 10529 insertions(+), 7799 deletions(-)
Title: Lorenz and Penalized Lorenz Regressions
Description: Inference for the Lorenz and penalized Lorenz regressions. More broadly, the package proposes functions to assess inequality and graphically represent it. The Lorenz Regression procedure is introduced in Heuchenne and Jacquemain (2022) <doi:10.1016/j.csda.2021.107347> and in Jacquemain, A., C. Heuchenne, and E. Pircalabelu (2024) <doi:10.1214/23-EJS2200>.
Author: Alexandre Jacquemain [aut, cre] ,
Xingjie Shi [ctb]
Maintainer: Alexandre Jacquemain <aljacquemain@gmail.com>
Diff between LorenzRegression versions 2.3.0 dated 2025-08-20 and 2.3.1 dated 2026-02-12
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- NEWS.md | 4 ++++ R/LorenzRegression-package.R | 2 +- man/LorenzRegression-package.Rd | 2 +- 5 files changed, 14 insertions(+), 10 deletions(-)
More information about LorenzRegression at CRAN
Permanent link
Title: Companion to the Book "Investigating Statistical Concepts,
Applications, and Methods"
Description: Introductory statistics methods to accompany "Investigating
Statistical Concepts, Applications, and Methods" (ISCAM) by Beth
Chance & Allan Rossman (2024) <https://rossmanchance.com/iscam4/>.
Tools to introduce statistical concepts with a focus on simulation
approaches. Functions are verbose, designed to provide ample output
for students to understand what each function does. Additionally, most
functions are accompanied with plots. The package is designed to be
used in an educational setting alongside the ISCAM textbook.
Author: Beth Chance [cre, aut, cph],
Visruth Srimath Kandali [aut]
Maintainer: Beth Chance <bchance@calpoly.edu>
Diff between ISCAM versions 1.0.0 dated 2025-11-11 and 1.2.0 dated 2026-02-12
DESCRIPTION | 6 MD5 | 165 NEWS.md | 12 R/binomial.R | 2008 +++++---- R/chisqprob.R | 111 R/help.R |only R/hypergeometric.R | 469 +- R/normal.R | 2645 ++++++------- R/overlayDensities.R | 586 +- R/plots.R | 279 - R/summary.R | 132 R/t.R | 2077 ++++------ R/utils.R |only README.md | 57 build/partial.rdb |binary man/ISCAM-package.Rd | 58 man/dot-add_density_common_params.Rd | 36 man/dot-plot_funcs_common_params.Rd | 40 man/iscamaddexp.Rd | 70 man/iscamaddlnorm.Rd | 68 man/iscamaddnorm.Rd | 68 man/iscamaddt.Rd | 74 man/iscamaddtnorm.Rd | 74 man/iscamboxplot.Rd | 92 man/iscamdotplot.Rd | 94 man/iscamonepropztest.Rd | 109 man/iscamsummary.Rd | 70 man/iscamtprob.Rd | 68 man/iscamtwopropztest.Rd | 135 tests/testthat/Rplots.pdf |only tests/testthat/_snaps/binomial |only tests/testthat/_snaps/binomial.md | 35 tests/testthat/_snaps/chisq-hyper |only tests/testthat/_snaps/chisq-hyper.md | 21 tests/testthat/_snaps/darwin |only tests/testthat/_snaps/iscamsummary.md |only tests/testthat/_snaps/linux |only tests/testthat/_snaps/normal |only tests/testthat/_snaps/normal.md | 21 tests/testthat/_snaps/overlayDensities.md |only tests/testthat/_snaps/plots.md |only tests/testthat/_snaps/plots/iscamdotplot-one-variable.svg | 7 tests/testthat/_snaps/plots/iscamdotplot-two-variables.svg | 8 tests/testthat/_snaps/prop-tests |only tests/testthat/_snaps/prop-tests.md | 14 tests/testthat/_snaps/t |only tests/testthat/_snaps/t.md | 38 tests/testthat/_snaps/windows |only tests/testthat/helper-capture.R | 39 tests/testthat/test-binomial.R | 118 tests/testthat/test-chisq-hyper.R | 171 tests/testthat/test-help.R |only tests/testthat/test-iscamsummary.R | 5 tests/testthat/test-normal.R | 92 tests/testthat/test-overlayDensities.R | 57 tests/testthat/test-plots.R | 44 tests/testthat/test-prop-tests.R | 67 tests/testthat/test-smoke-exports.R |only tests/testthat/test-t.R | 139 tests/testthat/test-utils.R |only 60 files changed, 5678 insertions(+), 4801 deletions(-)
Title: Cumulative Link Models with 'CmdStanR'
Description: Fits cumulative link models (CLMs) for ordinal categorical data
using 'CmdStanR'. Supports various link functions including logit, probit,
cloglog, loglog, cauchit, and flexible parametric links such as
Generalized Extreme Value (GEV), Asymmetric Exponential Power (AEP),
and Symmetric Power. Models are pre-compiled using the 'instantiate'
package for fast execution without runtime compilation. Methods are
described in Agresti (2010, ISBN:978-0-470-08289-8),
Wang and Dey (2011) <doi:10.1007/s10651-010-0154-8>, and
Naranjo, Perez, and Martin (2015) <doi:10.1007/s11222-014-9449-1>.
Author: Tomotaka Momozaki [aut, cre]
Maintainer: Tomotaka Momozaki <momozaki.stat@gmail.com>
Diff between clmstan versions 0.1.0 dated 2026-02-10 and 0.1.1 dated 2026-02-12
DESCRIPTION | 8 +++----- MD5 | 6 +++--- NEWS.md | 14 ++++++++++++++ src/install.libs.R | 38 +++++++++++++++++++++++++------------- 4 files changed, 45 insertions(+), 21 deletions(-)
Title: Text Analysis for All
Description: An R 'shiny' app designed for diverse text analysis tasks, offering a wide range of methodologies tailored to Natural Language Processing (NLP) needs.
It is a versatile, general-purpose tool for analyzing textual data.
'tall' features a comprehensive workflow, including data cleaning, preprocessing, statistical analysis, and visualization, all integrated for effective text analysis.
Author: Massimo Aria [aut, cre, cph] ,
Maria Spano [aut] ,
Luca D'Aniello [aut] ,
Corrado Cuccurullo [ctb] ,
Michelangelo Misuraca [ctb]
Maintainer: Massimo Aria <aria@unina.it>
Diff between tall versions 0.5.1 dated 2025-12-12 and 0.5.2 dated 2026-02-12
DESCRIPTION | 6 MD5 | 30 - NAMESPACE | 1 NEWS.md | 12 R/zzz.R | 2 inst/tall/collocation.R | 1184 ++++++++++++++++++++++++++-------------------- inst/tall/cssTags.R | 121 ++++ inst/tall/documents.R | 6 inst/tall/header.R | 2 inst/tall/import.R | 4 inst/tall/keyness.R | 367 +++++++------- inst/tall/overview.R | 243 +++++---- inst/tall/server.R | 2 inst/tall/settings.R | 222 ++++---- inst/tall/tallFunctions.R | 684 +++++++++++++------------- inst/tall/words.R | 137 ----- 16 files changed, 1639 insertions(+), 1384 deletions(-)
Title: Longitudinal Sequential Imputation and Prediction with Bayesian
Trees Mixed-Effects Models for Longitudinal Data
Description: Implements a sequential imputation framework using Bayesian Mixed-Effects Trees ('SBMTrees') for handling missing data in longitudinal studies. The package supports a variety of models, including non-linear relationships and non-normal random effects and residuals, leveraging Dirichlet Process priors for increased flexibility. Key features include handling Missing at Random (MAR) longitudinal data, imputation of both covariates and outcomes, and generating posterior predictive samples for further analysis. The methodology is designed for applications in epidemiology, biostatistics, and other fields requiring robust handling of missing data in longitudinal settings.
Author: Jungang Zou [aut, cre],
Liangyuan Hu [aut],
Robert McCulloch [ctb],
Rodney Sparapani [ctb],
Charles Spanbauer [ctb],
Robert Gramacy [ctb],
Jean-Sebastien Roy [ctb]
Maintainer: Jungang Zou <jungang.zou@gmail.com>
Diff between SBMTrees versions 1.4 dated 2026-02-06 and 1.5 dated 2026-02-12
DESCRIPTION | 8 MD5 | 12 NEWS.md | 6 R/RcppExports.R | 4 inst/doc/SBMTrees_Introduction.html | 67 +-- src/RcppExports.cpp | 16 src/bart_model.h | 782 ++++++++++++++++-------------------- 7 files changed, 421 insertions(+), 474 deletions(-)
Title: Interact with Data on 'SurveyCTO'
Description: 'SurveyCTO' is a platform for mobile data collection in offline settings.
The 'rsurveycto' R package uses the 'SurveyCTO' REST API
<https://docs.surveycto.com/05-exporting-and-publishing-data/05-api-access/01.api-access.html>
to read datasets and forms from a 'SurveyCTO' server into R as 'data.table's
and to download file attachments. The package also has limited support to
write datasets to a server.
Author: Jake Hughey [aut, cre],
Robert On [aut]
Maintainer: Jake Hughey <jake@agency.fund>
Diff between rsurveycto versions 0.2.4 dated 2025-12-22 and 0.2.5 dated 2026-02-12
DESCRIPTION | 6 +++--- MD5 | 13 ++++++++----- NAMESPACE | 1 + NEWS.md | 3 +++ R/scto_get_form_responses.R |only R/scto_read.R | 2 ++ man/scto_get_form_responses.Rd |only man/scto_read.Rd | 3 +++ tests/testthat/test-scto-get-form-responses.R |only 9 files changed, 20 insertions(+), 8 deletions(-)
Title: A Comprehensive Toolkit for Working with Encrypted Parquet Files
Description: Utilities for reading, writing, and managing RCDF files, including encryption and decryption support. It offers a flexible interface for handling data stored in encrypted Parquet format, along with metadata extraction, key management, and secure operations using Advanced Encryption Standard (AES) and Rivest-Shamir-Adleman (RSA) encryption.
Author: Bhas Abdulsamad [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>
This is a re-admission after prior archival of version 0.1.2 dated 2025-12-03
Diff between rcdf versions 0.1.2 dated 2025-12-03 and 0.1.3 dated 2026-02-12
DESCRIPTION | 6 +- MD5 | 30 ++++++------ NAMESPACE | 3 + NEWS.md | 8 ++- R/helpers.R | 17 +++++++ R/merge_rcdf.R |only R/metadata.R | 64 +++++++++++++++----------- R/read_parquet.R | 16 ++++-- R/read_rcdf.R | 88 ++++++++++++++++++++++++++++++------- R/utils.R | 48 +++++++++++++++++++- R/write_parquet.R | 9 +-- R/write_rcdf.R | 4 + R/zzz.R | 3 - build/vignette.rds |binary man/merge_rcdf.Rd |only man/read_rcdf.Rd | 5 +- tests/testthat/test-read_parquet.R | 17 ------- 17 files changed, 225 insertions(+), 93 deletions(-)
Title: Mixed Model Association Test for GEne-Environment Interaction
Description: Use a 'glmmkin' class object (GMMAT package) from the null model to perform generalized linear mixed model-based single-variant and variant set main effect tests, gene-environment interaction tests, and joint tests for association, as proposed in Wang et al. (2020) <DOI:10.1002/gepi.22351>.
Author: Xinyu Wang [aut],
Han Chen [aut, cre],
Duy Pham [aut],
Kenneth Westerman [ctb],
Cong Pan [aut],
Eric Biggers [ctb, cph] ,
Tino Reichardt [ctb, cph] library),
Meta Platforms, Inc. and affiliates [cph] library)
Maintainer: Han Chen <hanchenphd@gmail.com>
Diff between MAGEE versions 1.4.4 dated 2025-10-21 and 1.4.5 dated 2026-02-12
DESCRIPTION | 8 MD5 | 22 +- build/vignette.rds |binary configure | 30 +- configure.ac | 2 data/example.rda |binary inst/doc/MAGEE.Rnw | 31 +- inst/doc/MAGEE.pdf |binary man/MAGEE-package.Rd | 4 src/fitglmm.cpp | 543 +++++++++++++++++++++++++-------------------------- src/fitmagee.cpp | 2 vignettes/MAGEE.Rnw | 31 +- 12 files changed, 341 insertions(+), 332 deletions(-)
Title: Evaluation of Inequality Constrained Hypotheses Using GORICA
Description: Implements the generalized order-restricted information criterion
approximation (GORICA), an AIC-like information criterion that can be
utilized to evaluate informative hypotheses specifying directional
relationships between model parameters in terms of (in)equality
constraints (see Altinisik, Van Lissa, Hoijtink, Oldehinkel, & Kuiper,
2021), <doi:10.31234/osf.io/t3c8g>. The GORICA is applicable not only to
normal linear models, but also to generalized linear models (GLMs),
generalized linear mixed models (GLMMs), structural equation models
(SEMs), and contingency tables. For contingency tables, restrictions on cell
probabilities can be non-linear.
Author: Rebecca M. Kuiper [aut],
Altinisik Yasin [aut],
Vanbrabant Leonard [ctb],
Caspar J. van Lissa [aut, cre]
Maintainer: Caspar J. van Lissa <c.j.vanlissa@tilburguniversity.edu>
This is a re-admission after prior archival of version 0.1.4 dated 2023-10-11
Diff between gorica versions 0.1.4 dated 2023-10-11 and 0.1.5 dated 2026-02-12
DESCRIPTION | 8 - MD5 | 20 +- NAMESPACE | 3 NEWS.md | 47 +++-- R/compare_hypotheses.R | 146 +++++++++--------- R/get_estimates_unique_to_gorica.R | 294 ++++++++++++++++++------------------- R/hox_2010.R | 58 +++---- R/print_functions.R | 88 +++++------ build/partial.rdb |binary man/hox_2010.Rd | 8 - tests/testthat/test-sem_example.R | 4 11 files changed, 345 insertions(+), 331 deletions(-)
Title: Exploratory Analysis of Temporal and Spatio-Temporal Health Data
Description: A collection of commonly used visualizations of temporal and
spatio-temporal health data including case counts, incidence rates, and
covariates. The available plot types include time series, heatmaps,
seasonality plots, maps and more. The package supports standard data
transformations such as temporal and spatial aggregations, while
offering extensive customization options for the resulting figures.
Author: Carles Mila [aut, cre] ,
Giovenale Moirano [aut] ,
Anna B. Kawiecki [aut] ,
Rachel Lowe [aut, cph]
Maintainer: Carles Mila <carles.milagarcia@bsc.es>
Diff between GHRexplore versions 0.2.1 dated 2025-11-05 and 0.2.2 dated 2026-02-12
DESCRIPTION | 8 MD5 | 102 ++-- NAMESPACE | 2 NEWS.md | 8 R/GHR_palette.R | 273 +++++++---- R/dengue_MS.R | 16 R/dengue_SP.R | 6 R/epiyw.R |only R/map_MS.R | 6 R/plot_bivariate.R | 234 +++++----- R/plot_combine.R | 172 ++++--- R/plot_compare.R | 167 ++++--- R/plot_correlation.R | 352 ++++++++------- R/plot_heatmap.R | 529 +++++++++++++---------- R/plot_map.R | 756 ++++++++++++++++++--------------- R/plot_multiple.R | 69 +-- R/plot_multiple_common.R | 99 ++-- R/plot_multiple_map.R | 97 ++-- R/plot_seasonality.R | 434 ++++++++++-------- R/plot_timeseries.R | 649 ++++++++++++++++------------ R/plot_timeseries2.R | 717 +++++++++++++++++-------------- R/utils.R | 547 +++++++++++++---------- README.md | 3 inst/doc/GHRexplore.html | 20 man/GHR_palette.Rd | 3 man/aggregate_cases.Rd | 3 man/aggregate_cov.Rd | 3 man/date_to_epiyw.Rd |only man/dengue_MS.Rd | 2 man/epiyw_to_date.Rd |only man/plot_bivariate.Rd | 28 - man/plot_combine.Rd | 20 man/plot_compare.Rd | 23 - man/plot_correlation.Rd | 36 - man/plot_heatmap.Rd | 49 +- man/plot_map.Rd | 69 +-- man/plot_multiple.Rd | 8 man/plot_seasonality.Rd | 37 - man/plot_timeseries.Rd | 60 +- man/plot_timeseries2.Rd | 32 - tests/testthat/test-GHR_palette.R | 8 tests/testthat/test-epiyw.R |only tests/testthat/test-helper_functions.R | 272 +++++++---- tests/testthat/test-plot_bivariate.R | 114 +++- tests/testthat/test-plot_combine.R | 69 ++- tests/testthat/test-plot_compare.R | 34 - tests/testthat/test-plot_correlation.R | 69 ++- tests/testthat/test-plot_heatmap.R | 259 ++++++++--- tests/testthat/test-plot_map.R | 509 +++++++++++++--------- tests/testthat/test-plot_multiple.R | 58 +- tests/testthat/test-plot_seasonality.R | 241 +++++++--- tests/testthat/test-plot_timeseries.R | 721 +++++++++++++++++++++---------- tests/testthat/test-plot_timeseries2.R | 164 +++++-- vignettes/GHRexplore-vignette.html | 96 ++-- 54 files changed, 4917 insertions(+), 3336 deletions(-)
Title: Affinity in Co-Occurrence Data
Description: Computes a novel metric of affinity between two entities based on their co-occurrence
(using binary presence/absence data). The metric and its maximum likelihood estimator (alpha hat) were advanced in
Mainali, Slud, et al, 2021 <doi:10.1126/sciadv.abj9204>. Four types of confidence intervals and median interval
were developed in Mainali and Slud, 2022 <doi:10.1101/2022.11.01.514801>. The `finches` dataset is
bundled with the package.
Author: Kumar Mainali [aut, cre],
Eric Slud [aut]
Maintainer: Kumar Mainali <kpmainali@gmail.com>
Diff between CooccurrenceAffinity versions 1.0.2 dated 2025-06-27 and 2.0.0 dated 2026-02-12
DESCRIPTION | 16 - MD5 | 22 - NEWS.md | 48 +++ R/affinity.R | 15 R/globals.R |only R/plotgg.R | 644 ++++++++++++++++++++++++++++++++--------- README.md | 88 ++++- inst/examples/plotgg_example.R | 71 ++++ man/figures |only man/plotgg.Rd | 198 +++++++++--- 10 files changed, 877 insertions(+), 225 deletions(-)
More information about CooccurrenceAffinity at CRAN
Permanent link
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-02-19 0.1.8
2024-02-14 0.1.7
2023-03-16 0.1.6
2022-08-09 0.1.5
2022-07-18 0.1.4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-08-26 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-06-11 1.3.3
2018-08-14 1.3.2
2017-02-27 1.3.1
2015-08-05 1.3.0
2014-06-17 1.2.2
2013-10-22 1.2.1
2013-08-19 1.2
2013-06-12 1.1
2013-01-23 1.0
Title: Generate Publication-Ready Statistical Tables
Description: A collection of functions for generating frequency tables and cross-tabulations of categorical variables. The resulting tables can be exported to various formats (Excel, PDF, HTML, etc.) with extensive formatting and layout customization options.
Author: Bhas Abdulsamad [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>
Diff between tsg versions 0.1.0 dated 2025-11-09 and 0.1.1 dated 2026-02-12
DESCRIPTION | 6 +- MD5 | 52 +++++++++-------- NAMESPACE | 1 NEWS.md | 4 + R/facade.R | 35 +++++++++++ R/generate_crosstab.R | 92 +++++++++++++++++++++++++++++-- R/generate_frequency.R | 5 + R/generate_helpers.R | 82 ++++++++++++++++++++++++++- R/generate_modifiers.R | 21 +++---- R/generate_output.R | 6 ++ R/helpers.R | 56 +++++++++++++----- R/utils.R | 7 +- R/xlsx.R | 38 +++++++++++- R/xlsx_components.R | 51 +++++++++-------- R/xlsx_facade.R | 32 +++++++++- R/xlsx_writer.R | 40 ++++++++++++- R/zzz.R | 1 README.md | 25 +++++++- build/vignette.rds |binary inst/doc/tsg.html | 10 +-- inst/extdata/facade/xlsx/default.yaml | 38 ++++++++++-- inst/extdata/facade/xlsx/yolo.yaml | 4 + man/add_facade.Rd | 3 - man/add_facade_alt.Rd |only man/generate_crosstab.Rd | 3 + tests/testthat/test-generate_frequency.R | 6 ++ tests/testthat/test-helpers.R |only tests/testthat/test-write_xlsx.R | 4 - 28 files changed, 502 insertions(+), 120 deletions(-)
Title: qPCR Data Analysis
Description: Tools for qPCR data analysis using Delta Ct and Delta Delta Ct methods, including t-test, Wilcoxon-test, ANOVA models, and publication-ready visualizations. The package supports multiple target, and multiple reference genes, and uses a calculation framework adopted from Ganger et al. (2017) <doi:10.1186/s12859-017-1949-5> and Taylor et al. (2019) <doi:10.1016/j.tibtech.2018.12.002>, covering both the Livak and Pfaffl methods.
Author: Ghader Mirzaghaderi [aut, cre, cph]
Maintainer: Ghader Mirzaghaderi <mirzaghaderi@gmail.com>
Diff between rtpcr versions 2.1.3 dated 2026-02-03 and 2.1.4 dated 2026-02-12
DESCRIPTION | 12 MD5 | 45 +- NAMESPACE | 2 NEWS.md | 11 R/ANOVA_DCt.R | 257 ++++++-------- R/ANOVA_DDCt.R | 688 ++++++++++++++++++++++----------------- R/Means_DDCt.R | 4 R/TTEST_DDCt.R | 2 R/WILCOX_DDCt.R | 8 R/globalVariables.R | 3 R/plotFactor.R | 2 R/plotSingleGene.R |only inst/doc/Manual.R | 138 ++++--- inst/doc/Manual.Rmd | 225 ++++++++---- inst/doc/Manual.html | 534 +++++++++++++++++++----------- man/ANOVA_DCt.Rd | 28 - man/ANOVA_DDCt.Rd | 61 ++- man/Means_DDCt.Rd | 4 man/figures/base.png |only man/figures/dataStructure1.png |binary man/figures/repeated_measure.png |only man/figures/sampleData1.png |only man/figures/signif.png |only man/figures/standCur.png |only man/plotFactor.Rd | 2 man/plotSingleGene.Rd |only vignettes/Manual.Rmd | 225 ++++++++---- 27 files changed, 1344 insertions(+), 907 deletions(-)
Title: 'RDF' and 'SPARQL' for R using 'Oxigraph'
Description: Provides 'RDF' storage and 'SPARQL' 1.1 query capabilities by wrapping
the 'Oxigraph' graph database library <https://github.com/oxigraph/oxigraph>.
Supports in-memory and persistent ('RocksDB') storage, multiple 'RDF'
serialization formats ('Turtle', 'N-Triples', 'RDF-XML', 'N-Quads', 'TriG'),
and full 'SPARQL' 1.1 Query and Update support. Built using the 'extendr'
framework for 'Rust'-R bindings.
Author: Carl Boettiger [aut, cre] ,
Oxigraph Contributors [cph] ,
Authors of the dependency Rust crates [aut]
Maintainer: Carl Boettiger <cboettig@gmail.com>
Diff between roxigraph versions 0.1.0 dated 2026-02-05 and 0.1.1 dated 2026-02-12
DESCRIPTION | 11 ++++--- MD5 | 15 +++++----- NEWS.md |only inst/AUTHORS | 34 ++++++++++++------------ inst/WORDLIST | 1 src/Makevars.in | 1 src/rust/Cargo.lock | 68 ++++++++++++++++++++++++------------------------- src/rust/Cargo.toml | 5 ++- src/rust/vendor.tar.xz |binary 9 files changed, 70 insertions(+), 65 deletions(-)
Title: Conditional Mixture Modeling and Model-Based Clustering
Description: Conditional mixture model fitted via EM (Expectation Maximization) algorithm for model-based clustering, including parsimonious procedure, optimal conditional order exploration, and visualization.
Author: Yang Wang [aut, cre],
Volodymyr Melnykov [aut],
Stephen Moshier [ctb] ,
Rouben Rostamian [ctb]
Maintainer: Yang Wang <wangy00808@gmail.com>
Diff between cmbClust versions 0.0.1 dated 2022-11-03 and 0.0.2 dated 2026-02-12
DESCRIPTION | 13 +++++++------ MD5 | 4 ++-- man/cmb.search.Rd | 2 +- 3 files changed, 10 insertions(+), 9 deletions(-)
Title: Zero-Inflated and Hurdle INAR(1) Models
Description: Provides tools for estimating Zero-Inflated INAR(1)
(ZI-INAR(1)) and Hurdle INAR(1) (H-INAR(1)) models using 'Stan'.
It allows users to simulate time series data for these models,
estimate parameters, and evaluate model fit using various criteria.
Functions include model estimation, simulation, and likelihood-based metrics.
Author: Fusheng Yang [aut, cre],
Victor Hugo Lachos Davila [aut]
Maintainer: Fusheng Yang <fusheng.yang@uconn.edu>
Diff between ZIHINAR1 versions 0.2.0 dated 2026-01-25 and 0.2.1 dated 2026-02-12
ZIHINAR1-0.2.0/ZIHINAR1/inst/stan/ZIIGP-INAR1.stan |only ZIHINAR1-0.2.1/ZIHINAR1/DESCRIPTION | 6 +++--- ZIHINAR1-0.2.1/ZIHINAR1/MD5 | 4 ++-- ZIHINAR1-0.2.1/ZIHINAR1/inst/stan/ZIGP-INAR1.stan |only 4 files changed, 5 insertions(+), 5 deletions(-)
Title: Fast Unified Random Forests for Survival, Regression, and
Classification (RF-SRC)
Description: Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. New Mahalanobis splitting for correlated outcomes. Extreme random forests and randomized splitting. Suite of imputation methods for missing data. Fast random forests using subsampling. Confidence regions and standard errors for variable importance. New improved holdout importance. Case-specific importance. Minimal depth variable importance. Visualize trees on your Safari or Google Chrome browser. Anonymous random forests for data privacy.
Author: Hemant Ishwaran [aut],
Udaya B. Kogalur [aut, cre]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>
Diff between randomForestSRC versions 3.5.0 dated 2026-01-11 and 3.5.1 dated 2026-02-12
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- R/generic.predict.rfsrc.R | 2 +- R/rfsrc.R | 4 ++-- R/utilities_survival.R | 3 ++- inst/NEWS | 9 +++++++-- 6 files changed, 21 insertions(+), 15 deletions(-)
More information about randomForestSRC at CRAN
Permanent link
Title: Nonparametric Kernel Smoothing Methods for Mixed Data Types
Description: Nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. We would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <https://www.nserc-crsng.gc.ca/>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <https://www.sshrc-crsh.gc.ca/>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://sharcnet.ca/>). We would also like to acknowledge the contributions of the GNU GSL authors. In particular, we adapt the GNU GSL B-spline routine gsl_bspline.c adding automated support for quantile knots (in addition to uniform knots), providing missing functionality for derivatives, and for extending the splines beyond their endpoints.
Author: Jeffrey S. Racine [aut, cre],
Tristen Hayfield [aut]
Maintainer: Jeffrey S. Racine <racinej@mcmaster.ca>
Diff between np versions 0.60-19 dated 2026-01-29 and 0.60-20 dated 2026-02-12
CHANGELOG | 53 ++ DESCRIPTION | 10 MD5 | 121 ++--- NAMESPACE | 14 R/bandwidth.R | 4 R/conbandwidth.R | 4 R/condbandwidth.R | 4 R/dbandwidth.R | 4 R/np.condensity.R | 16 R/np.condensity.bw.R | 61 +- R/np.condistribution.R | 16 R/np.condistribution.bw.R | 65 +-- R/np.density.R | 16 R/np.density.bw.R | 53 +- R/np.distribution.R | 8 R/np.distribution.bw.R | 52 +- R/np.kernel.R | 81 ++- R/np.pairs.R |only R/np.plot.R | 88 ++-- R/np.plregression.R | 12 R/np.plregression.bw.R | 30 - R/np.qregression.R | 12 R/np.regression.R | 20 R/np.regression.bw.R | 54 +- R/np.sigtest.R | 17 R/np.singleindex.R | 14 R/np.singleindex.bw.R | 17 R/np.smoothcoef.R | 12 R/np.smoothcoef.bw.R | 23 - R/np.unitest.R | 2 R/npregiv.R | 335 +++++++++++++--- R/npregivderiv.R | 262 ++++++++++-- R/rbandwidth.R | 4 R/util.R | 21 - R/zzz.R | 2 README.md | 27 - cleanup | 2 demo/Engel95.R | 4 demo/npregiv.R | 4 inst/doc/entropy_np.pdf |binary inst/doc/np.pdf |binary inst/doc/np_faq.Rnw | 117 +++++ inst/doc/np_faq.pdf |binary man/data-Engel95.Rd | 4 man/np.condensity.bw.Rd | 22 + man/np.condistribution.bw.Rd | 22 + man/np.density.bw.Rd | 21 + man/np.distribution.bw.Rd | 21 + man/np.regression.bw.Rd | 21 + man/np.regressioniv.Rd | 248 ++++++----- man/np.regressionivderiv.Rd | 95 ++-- man/npuniden.boundary.Rd | 2 man/npuniden.reflect.Rd | 2 man/npuniden.sc.Rd | 2 src/Makevars.win | 1 src/headers.h | 5 src/jksum.c | 441 +++++++++++++++++---- src/np.c | 889 +++++++++++++++++++++++++++++++++++++------ src/np_init.c | 20 src/nr.c | 6 src/statmods.c | 2 vignettes/np_faq.Rnw | 117 +++++ 62 files changed, 2753 insertions(+), 849 deletions(-)
Title: Multivariate Birth-Death Processes
Description: Computationally efficient functions to provide direct likelihood-based
inference for partially-observed multivariate birth-death processes. Such processes
range from a simple Yule model to the complex susceptible-infectious-removed model
in disease dynamics. Efficient likelihood evaluation facilitates maximum likelihood
estimation and Bayesian inference.
Author: Lam S.T. Ho [aut],
Marc A. Suchard [aut, cre],
Forrest W. Crawford [aut],
Jason Xu [ctb],
Vladimir N. Minin [ctb]
Maintainer: Marc A. Suchard <msuchard@ucla.edu>
Diff between MultiBD versions 1.0.0 dated 2025-11-29 and 1.0.1 dated 2026-02-12
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- README.md | 4 ++-- inst/doc/SIR-MCMC.pdf |binary inst/doc/SIRtrans.pdf |binary src/bbd.h | 2 +- 6 files changed, 12 insertions(+), 12 deletions(-)
Title: Sean 'Lahman' Baseball Database
Description: Provides the tables from the 'Sean Lahman Baseball Database' as
a set of R data.frames. It uses the data on pitching, hitting and fielding
performance and other tables from 1871 through 2024, as recorded in the 2025
version of the database. Documentation examples show how many baseball
questions can be investigated.
Author: Michael Friendly [aut],
Chris Dalzell [cre, aut],
Martin Monkman [aut],
Dennis Murphy [aut],
Vanessa Foot [ctb],
Justeena Zaki-Azat [ctb],
Daniel J Eck [ctb],
Sean Lahman [cph]
Maintainer: Chris Dalzell <cdalzell@gmail.com>
Diff between Lahman versions 13.0-0 dated 2025-09-08 and 14.0-0 dated 2026-02-12
Lahman-13.0-0/Lahman/data/datalist |only Lahman-14.0-0/Lahman/DESCRIPTION | 10 - Lahman-14.0-0/Lahman/MD5 | 163 ++++++++---------- Lahman-14.0-0/Lahman/NEWS.md | 5 Lahman-14.0-0/Lahman/build/vignette.rds |binary Lahman-14.0-0/Lahman/data/AllstarFull.RData |binary Lahman-14.0-0/Lahman/data/Appearances.RData |binary Lahman-14.0-0/Lahman/data/AwardsManagers.RData |binary Lahman-14.0-0/Lahman/data/AwardsPlayers.RData |binary Lahman-14.0-0/Lahman/data/AwardsShareManagers.RData |binary Lahman-14.0-0/Lahman/data/AwardsSharePlayers.RData |binary Lahman-14.0-0/Lahman/data/Batting.RData |binary Lahman-14.0-0/Lahman/data/BattingPost.RData |binary Lahman-14.0-0/Lahman/data/CollegePlaying.RData |binary Lahman-14.0-0/Lahman/data/Fielding.RData |binary Lahman-14.0-0/Lahman/data/FieldingOF.RData |binary Lahman-14.0-0/Lahman/data/FieldingOFsplit.RData |binary Lahman-14.0-0/Lahman/data/FieldingPost.RData |binary Lahman-14.0-0/Lahman/data/HallOfFame.RData |binary Lahman-14.0-0/Lahman/data/HomeGames.RData |binary Lahman-14.0-0/Lahman/data/LahmanData.RData |binary Lahman-14.0-0/Lahman/data/Managers.RData |binary Lahman-14.0-0/Lahman/data/ManagersHalf.RData |binary Lahman-14.0-0/Lahman/data/Parks.RData |binary Lahman-14.0-0/Lahman/data/People.RData |binary Lahman-14.0-0/Lahman/data/Pitching.RData |binary Lahman-14.0-0/Lahman/data/PitchingPost.RData |binary Lahman-14.0-0/Lahman/data/Salaries.RData |binary Lahman-14.0-0/Lahman/data/Schools.RData |binary Lahman-14.0-0/Lahman/data/SeriesPost.RData |binary Lahman-14.0-0/Lahman/data/Teams.RData |binary Lahman-14.0-0/Lahman/data/TeamsFranchises.RData |binary Lahman-14.0-0/Lahman/data/TeamsHalf.RData |binary Lahman-14.0-0/Lahman/data/battingLabels.RData |binary Lahman-14.0-0/Lahman/data/fieldingLabels.RData |binary Lahman-14.0-0/Lahman/data/pitchingLabels.RData |binary Lahman-14.0-0/Lahman/demo/batting-summstats.R | 1 Lahman-14.0-0/Lahman/inst/doc/FHM-primer.Rmd | 4 Lahman-14.0-0/Lahman/inst/doc/FHM-primer.html | 17 - Lahman-14.0-0/Lahman/inst/doc/hits-by-type.R | 1 Lahman-14.0-0/Lahman/inst/doc/hits-by-type.Rmd | 1 Lahman-14.0-0/Lahman/inst/doc/hits-by-type.html | 36 +-- Lahman-14.0-0/Lahman/inst/doc/payroll.html | 64 +++---- Lahman-14.0-0/Lahman/inst/doc/run-scoring-trends.Rmd | 4 Lahman-14.0-0/Lahman/inst/doc/run-scoring-trends.html | 51 +++-- Lahman-14.0-0/Lahman/inst/doc/strikeoutsandhr.R | 2 Lahman-14.0-0/Lahman/inst/doc/strikeoutsandhr.Rmd | 2 Lahman-14.0-0/Lahman/inst/doc/strikeoutsandhr.html | 49 ++--- Lahman-14.0-0/Lahman/inst/doc/vignette-intro.html | 4 Lahman-14.0-0/Lahman/inst/scripts/dataMapping.R | 6 Lahman-14.0-0/Lahman/inst/scripts/readLahman.R | 5 Lahman-14.0-0/Lahman/man/AllstarFull.Rd | 4 Lahman-14.0-0/Lahman/man/Appearances.Rd | 4 Lahman-14.0-0/Lahman/man/AwardsManagers.Rd | 4 Lahman-14.0-0/Lahman/man/AwardsPlayers.Rd | 4 Lahman-14.0-0/Lahman/man/AwardsShareManagers.Rd | 4 Lahman-14.0-0/Lahman/man/AwardsSharePlayers.Rd | 4 Lahman-14.0-0/Lahman/man/Batting.Rd | 4 Lahman-14.0-0/Lahman/man/BattingPost.Rd | 4 Lahman-14.0-0/Lahman/man/CollegePlaying.Rd | 4 Lahman-14.0-0/Lahman/man/Fielding.Rd | 6 Lahman-14.0-0/Lahman/man/FieldingOF.Rd | 2 Lahman-14.0-0/Lahman/man/FieldingOFsplit.Rd | 4 Lahman-14.0-0/Lahman/man/FieldingPost.Rd | 4 Lahman-14.0-0/Lahman/man/HallOfFame.Rd | 4 Lahman-14.0-0/Lahman/man/HomeGames.Rd | 4 Lahman-14.0-0/Lahman/man/Lahman-package.Rd | 2 Lahman-14.0-0/Lahman/man/Managers.Rd | 4 Lahman-14.0-0/Lahman/man/ManagersHalf.Rd | 2 Lahman-14.0-0/Lahman/man/Parks.Rd | 2 Lahman-14.0-0/Lahman/man/People.Rd | 4 Lahman-14.0-0/Lahman/man/Pitching.Rd | 4 Lahman-14.0-0/Lahman/man/PitchingPost.Rd | 4 Lahman-14.0-0/Lahman/man/Salaries.Rd | 2 Lahman-14.0-0/Lahman/man/Schools.Rd | 4 Lahman-14.0-0/Lahman/man/SeriesPost.Rd | 4 Lahman-14.0-0/Lahman/man/Teams.Rd | 4 Lahman-14.0-0/Lahman/man/TeamsFranchises.Rd | 4 Lahman-14.0-0/Lahman/man/TeamsHalf.Rd | 4 Lahman-14.0-0/Lahman/vignettes/FHM-primer.Rmd | 4 Lahman-14.0-0/Lahman/vignettes/hits-by-type.Rmd | 1 Lahman-14.0-0/Lahman/vignettes/run-scoring-trends.Rmd | 4 Lahman-14.0-0/Lahman/vignettes/strikeoutsandhr.Rmd | 2 83 files changed, 274 insertions(+), 266 deletions(-)
Title: Conover-Iman Test of Multiple Comparisons Using Rank Sums
Description: Computes the Conover-Iman test (1979) for 0th-order stochastic dominance and reports the results among multiple pairwise comparisons after a Kruskal-Wallis omnibus test for i0th-order stochastic dominance among k groups (Kruskal and Wallis, 1952). conover.test makes k(k-1)/2 multiple pairwise comparisons based on Conover-Iman t-test-statistic of the rank differences. The null hypothesis for each pairwise comparison is that the probability of observing a randomly selected value from the first group that is larger than a randomly selected value from the second group equals one half; this null hypothesis corresponds to that of the Wilcoxon-Mann-Whitney rank-sum test. Like the rank-sum test, if the data can be assumed to be continuous, and the distributions are assumed identical except for a difference in location, Conover-Iman test may be understood as a test for median difference and for mean difference. conover.test accounts for tied ranks. The Conover-Iman test is strictly valid if and [...truncated...]
Author: Alexis Dinno [aut, cre, cph]
Maintainer: Alexis Dinno <alexis.dinno@pdx.edu>
Diff between conover.test versions 1.1.6 dated 2024-04-09 and 1.1.7 dated 2026-02-12
DESCRIPTION | 15 + MD5 | 12 - NAMESPACE | 4 R/conover.test.R | 393 ++++++++++++++++++++++++++-------------------------- R/pad.left.R |only R/pad.spaces.R |only build/partial.rdb |binary man/conover.test.Rd | 16 +- 8 files changed, 234 insertions(+), 206 deletions(-)