Title: 'Pubmed' Word Clouds
Description: Create a word cloud using the abstract of publications from 'Pubmed'.
Author: Felix Yanhui Fan [aut, cre]
Maintainer: Felix Yanhui Fan <nolanfyh@gmail.com>
Diff between PubMedWordcloud versions 0.3.6 dated 2019-03-01 and 0.3.7 dated 2026-08-23
DESCRIPTION | 14 ++++++++------ MD5 | 6 +++--- R/plotWordCloud.R | 4 ++-- man/plotWordCloud.Rd | 4 ++-- 4 files changed, 15 insertions(+), 13 deletions(-)
More information about PubMedWordcloud at CRAN
Permanent link
Title: Identification and Classification of the Most Influential Nodes
Description: Provides functions for the identification, classification, and
ranking of influential nodes and candidate features from network and omics
data. The package implements the Integrated Value of Influence (IVI) for
integrative network centrality analysis, the SIR-based Influence Ranking
(SIRIR) model for unsupervised influence ranking, and the Experimental
data-based Integrative Ranking (ExIR) model for prioritizing candidate
driver, biomarker, and mediator features from experimental omics data.
Functions are provided for network reconstruction from adjacency matrices
and data frames, topological analysis, centrality calculation, assessment
of associations between centrality measures, and conditional probability
analysis. ExIR supports bulk and single-cell omics data, including matrices,
sparse matrices, data frames, tibbles, and Seurat objects.
Author: Adrian Salavaty [aut, cre] ,
Mirana Ramialison [ths],
Peter D. Currie [ths]
Maintainer: Adrian Salavaty <abbas.salavaty@gmail.com>
Diff between influential versions 2.3.1 dated 2026-05-28 and 2.3.2 dated 2026-08-23
DESCRIPTION | 7 MD5 | 28 NEWS.md | 10 R/data.R | 6 README.md | 241 ++++-- build/partial.rdb |only inst/CITATION | 7 inst/doc/Vignettes.R | 104 +- inst/doc/Vignettes.Rmd | 210 ++++- inst/doc/Vignettes.html | 1392 ++++++++++++++++++++++++++++++-------- man/centrality.measures.Rd | 2 man/coexpression.adjacency.Rd | 2 man/coexpression.data.Rd | 2 vignettes/Vignettes.Rmd | 210 ++++- vignettes/figures |only vignettes/influentialVignette.css | 1165 ++++++++++++++++++++++++++----- 16 files changed, 2648 insertions(+), 738 deletions(-)
Title: A Traceability Focused Grammar of Clinical Data Summary
Description: A traceability focused tool created to simplify the data manipulation necessary to create clinical summaries.
Author: Eli Miller [aut] ,
Mike Stackhouse [aut, cre] ,
Ashley Tarasiewicz [aut],
Nathan Kosiba [ctb] ,
Sadchla Mascary [ctb],
Andrew Bates [ctb],
Shiyu Chen [ctb],
Oleksii Mikryukov [ctb],
Atorus Research LLC [cph]
Maintainer: Mike Stackhouse <mike.stackhouse@atorusresearch.com>
Diff between Tplyr versions 1.3.3 dated 2026-06-30 and 1.4.0 dated 2026-08-23
DESCRIPTION | 6 MD5 | 50 +++--- NEWS.md | 9 + R/count.R | 2 R/desc.R | 17 +- R/gather_defaults.R | 2 R/num_fmt.R | 15 + R/precision.R | 33 ++++ R/set_format_strings.R | 23 ++ R/zzz.R | 3 inst/doc/Tplyr.html | 12 - inst/doc/denom.html | 6 inst/doc/desc_layer_formatting.R | 14 + inst/doc/desc_layer_formatting.Rmd | 27 +++ inst/doc/desc_layer_formatting.html | 295 ++++++++++++++++++++++++------------ inst/doc/metadata.html | 2 inst/doc/options.R | 26 +++ inst/doc/options.Rmd | 37 ++++ inst/doc/options.html | 250 ++++++++++++++++++++---------- man/set_format_strings.Rd | 24 ++ tests/testthat/test-count.R | 33 ++++ tests/testthat/test-opts.R | 51 ++++++ tests/testthat/test-precision.R | 113 +++++++++++++ vignettes/desc_layer_formatting.Rmd | 27 +++ vignettes/options.Rmd | 37 ++++ vignettes/tplyr_options.csv | 1 26 files changed, 882 insertions(+), 233 deletions(-)
Title: A 'shiny' Package for Data Analysis
Description: Provides a 'shiny' application with a user-friendly interface
for interactive data analysis. It supports exploratory data analysis
through descriptive statistics, data visualization, statistical
tests (e.g., normality assessment), linear modeling, data
import, transformation and reporting. For more details see Shapiro and Wilk
(1965) <doi:10.2307/2333709>.
Author: Luis Gustavo Schuck [aut, cre]
Maintainer: Luis Gustavo Schuck <luisgustavoschuck@yahoo.com.br>
Diff between spada versions 0.1.7 dated 2026-07-10 and 0.1.8 dated 2026-08-23
spada-0.1.7/spada/man/figures/spada_loading_0.1.3.png |only spada-0.1.8/spada/DESCRIPTION | 6 spada-0.1.8/spada/MD5 | 78 - spada-0.1.8/spada/NAMESPACE | 2 spada-0.1.8/spada/NEWS.md | 22 spada-0.1.8/spada/R/calculate_cols_module.R | 33 spada-0.1.8/spada/R/duplicates_module.R | 7 spada-0.1.8/spada/R/exploratory_module.R | 15 spada-0.1.8/spada/R/filter_rows_module.R | 39 spada-0.1.8/spada/R/groupby_module.R | 3 spada-0.1.8/spada/R/lm_module.R | 17 spada-0.1.8/spada/R/missing_module.R |only spada-0.1.8/spada/R/navbar_df_info_module.R | 2 spada-0.1.8/spada/R/sidebar_module.R | 7 spada-0.1.8/spada/R/spada.R | 8 spada-0.1.8/spada/R/spada_server.R | 3 spada-0.1.8/spada/R/spada_themes.R | 299 +++-- spada-0.1.8/spada/R/spada_ui.R | 1 spada-0.1.8/spada/R/utils.R | 613 ++++++----- spada-0.1.8/spada/R/zzz.R | 14 spada-0.1.8/spada/README.md | 6 spada-0.1.8/spada/inst/doc/spada.html | 25 spada-0.1.8/spada/man/figures/data.png |binary spada-0.1.8/spada/man/figures/export.png |binary spada-0.1.8/spada/man/figures/highlights.png |binary spada-0.1.8/spada/man/figures/import.png |binary spada-0.1.8/spada/man/figures/metadata.png |binary spada-0.1.8/spada/man/figures/navbar_active_dataset.png |binary spada-0.1.8/spada/man/figures/overview.png |binary spada-0.1.8/spada/man/figures/spada_analysis_exploratory.png |binary spada-0.1.8/spada/man/figures/spada_config.png |binary spada-0.1.8/spada/man/figures/spada_data_metadata.png |binary spada-0.1.8/spada/man/figures/spada_data_overview.png |binary spada-0.1.8/spada/man/figures/spada_edit.png |binary spada-0.1.8/spada/man/figures/spada_home.png |binary spada-0.1.8/spada/man/figures/spada_home2.png |binary spada-0.1.8/spada/man/figures/spada_home3.png |binary spada-0.1.8/spada/man/figures/spada_loading.png |only spada-0.1.8/spada/man/figures/spada_output.png |binary spada-0.1.8/spada/man/figures/spada_output_exported.png |binary spada-0.1.8/spada/tests/testthat/test-missing_module.R |only spada-0.1.8/spada/tests/testthat/test-utils.R | 25 42 files changed, 796 insertions(+), 429 deletions(-)
Title: An Accessible Interface for Stock-and-Flow Modelling
Description: Stock-and-flow models are a computational method from the
field of system dynamics. They represent how systems change over time
and are mathematically equivalent to ordinary differential equations.
'sdbuildR' (system dynamics builder) provides an intuitive interface
for constructing stock-and-flow models without requiring extensive
domain knowledge. Models can quickly be simulated and revised,
supporting iterative development. 'sdbuildR' simulates models in 'R'
and 'Julia', and supports computationally intensive ensemble
simulations. Additionally, 'sdbuildR' can import models created in
'Insight Maker' (<https://insightmaker.com/>).
Author: Kyra Caitlin Evers [aut, cre, cph] ,
STIX Fonts Project Authors [ctb, cph] , SIL Open Font License 1.1)
Maintainer: Kyra Caitlin Evers <kyra.c.evers@gmail.com>
This is a re-admission after prior archival of version 2.2.2 dated 2026-07-17
Diff between sdbuildR versions 2.2.2 dated 2026-07-17 and 2.2.3 dated 2026-08-23
DESCRIPTION | 6 MD5 | 141 NEWS.md | 30 R/aaa.R | 26 R/compile_script.R | 1394 +-- R/ensemble.R | 27 R/import_insightmaker.R | 5 R/insightmaker_conv.R | 356 R/plot.R | 28 R/scripts.R | 692 - R/sdbuildR-methods.R |only R/sim_methods.R | 375 R/simulate.R | 1 R/sysdata.rda |binary R/templates.R | 14 R/update.R | 1 R/use_julia.R | 334 R/utils.R | 4248 +++++----- inst/Project.toml | 13 inst/init.jl | 4 inst/setup.jl | 2 man/as.data.frame.ensemble_stockflow.Rd | 23 man/ensemble.Rd | 14 man/export_plot.Rd | 41 man/install_julia_env.Rd | 6 man/plot.simulate_stockflow.Rd | 2 man/plot.verify_stockflow.Rd | 11 man/sdbuildR-as.data.frame.Rd |only man/sdbuildR-head-tail.Rd |only man/sdbuildR-plot.Rd |only man/sdbuildR-print.Rd |only man/sdbuildR-summary.Rd |only man/simulate.stockflow.Rd | 105 man/update.stockflow.Rd | 433 - man/url_to_insightmaker.Rd | 2 man/use_julia.Rd | 2 tests/testthat/_snaps/plot_ensemble_stockflow/ens-alpha-named.png |binary tests/testthat/_snaps/plot_ensemble_stockflow/ens-alpha-roles-named.png |binary tests/testthat/_snaps/plot_ensemble_stockflow/ens-filtered-condition-2.png |binary tests/testthat/_snaps/plot_ensemble_stockflow/ens-lw-roles.png |binary tests/testthat/_snaps/plot_ensemble_stockflow/ens-lw-scalar.png |binary tests/testthat/_snaps/plot_ensemble_stockflow/ens-sims-default.png |binary tests/testthat/_snaps/plot_ensemble_stockflow/ens-summary-default.png |binary tests/testthat/_snaps/plot_simulate_stockflow/sim-constants-filtered-vars.png |binary tests/testthat/_snaps/plot_simulate_stockflow/sim-custom-colors.png |binary tests/testthat/_snaps/plot_simulate_stockflow/sim-custom-palette.png |binary tests/testthat/_snaps/plot_simulate_stockflow/sim-only-stocks-false.png |binary tests/testthat/_snaps/plot_simulate_stockflow/sim-single-var-legend.png |binary tests/testthat/_snaps/plot_simulate_stockflow/sim-single-variable.png |binary tests/testthat/_snaps/plot_simulate_stockflow/sim-with-constants.png |binary tests/testthat/_snaps/plot_simulate_stockflow/sim-without-constants.png |binary tests/testthat/_snaps/plot_simulate_stockflow/sim-wrap-width-narrow.png |binary tests/testthat/_snaps/plot_verify_stockflow/verify-custom-colors.png |binary tests/testthat/_snaps/plot_verify_stockflow/verify-custom-font-family.png |binary tests/testthat/_snaps/plot_verify_stockflow/verify-custom-palette.png |binary tests/testthat/_snaps/plot_verify_stockflow/verify-nr-label-intersection.png |binary tests/testthat/_snaps/plot_verify_stockflow/verify-show_legend-false.png |binary tests/testthat/_snaps/plot_verify_stockflow/verify-single-cond-n1.png |binary tests/testthat/_snaps/plot_verify_stockflow/verify-status-fail-only.png |binary tests/testthat/_snaps/plot_verify_stockflow/verify-status-pass-only.png |binary tests/testthat/_snaps/plot_verify_stockflow/verify-wrap-width-narrow.png |binary tests/testthat/helper.R | 11 tests/testthat/test-cache-invalidation.R | 1 tests/testthat/test-ensemble-jl.R | 1672 +-- tests/testthat/test-ensemble-r.R | 1029 +- tests/testthat/test-fonts.R | 426 - tests/testthat/test-insightmaker.R | 729 + tests/testthat/test-julia_conv_ast.R | 1 tests/testthat/test-layout-invariants.R | 1 tests/testthat/test-plot_ensemble_stockflow.R | 26 tests/testthat/test-plot_simulate_stockflow.R | 29 tests/testthat/test-solvers.R |only tests/testthat/test-templates.R | 4 tests/testthat/test-use_julia.R | 168 tests/testthat/test-verify.R | 92 75 files changed, 6631 insertions(+), 5894 deletions(-)
Title: Phonetic Spelling Algorithms
Description: Provides a collection of phonetic algorithms including
Soundex, Metaphone, NYSIIS, Caverphone, and others. The package is
documented in <doi:10.18637/jss.v095.i08>.
Author: James Howard [aut, cre] ,
Kyle Haynes [ctb],
Amanda Hood [ctb],
Os Keyes [ctb]
Maintainer: James Howard <jh@jameshoward.us>
Diff between phonics versions 1.3.10 dated 2021-07-11 and 1.4.0 dated 2026-08-23
phonics-1.3.10/phonics/tests/test-all.R |only phonics-1.4.0/phonics/DESCRIPTION | 21 phonics-1.4.0/phonics/MD5 | 141 ++-- phonics-1.4.0/phonics/NAMESPACE | 7 phonics-1.4.0/phonics/NEWS.md |only phonics-1.4.0/phonics/R/RcppExports.R | 4 phonics-1.4.0/phonics/R/caverphone.R | 7 phonics-1.4.0/phonics/R/cologne.R | 118 ++- phonics-1.4.0/phonics/R/lein.R | 17 phonics-1.4.0/phonics/R/metaphone.R | 24 phonics-1.4.0/phonics/R/mra.R | 24 phonics-1.4.0/phonics/R/nysiis.R | 303 ++++----- phonics-1.4.0/phonics/R/onca.R | 31 phonics-1.4.0/phonics/R/phonex.R | 17 phonics-1.4.0/phonics/R/phonics-package.R |only phonics-1.4.0/phonics/R/phonics.R | 66 -- phonics-1.4.0/phonics/R/rogerroot.R | 85 +- phonics-1.4.0/phonics/R/soundex.R | 28 phonics-1.4.0/phonics/R/statcan.R | 13 phonics-1.4.0/phonics/R/validate.R |only phonics-1.4.0/phonics/README.md | 103 ++- phonics-1.4.0/phonics/build/partial.rdb |only phonics-1.4.0/phonics/build/vignette.rds |binary phonics-1.4.0/phonics/inst/CITATION | 2 phonics-1.4.0/phonics/inst/doc/phonics.R | 3 phonics-1.4.0/phonics/inst/doc/phonics.Rmd | 66 +- phonics-1.4.0/phonics/inst/doc/phonics.html | 313 +++++----- phonics-1.4.0/phonics/man/caverphone.Rd | 28 phonics-1.4.0/phonics/man/cologne.Rd | 34 - phonics-1.4.0/phonics/man/lein.Rd | 28 phonics-1.4.0/phonics/man/metaphone.Rd | 44 - phonics-1.4.0/phonics/man/mra.Rd | 28 phonics-1.4.0/phonics/man/nysiis.Rd | 45 - phonics-1.4.0/phonics/man/onca.Rd | 39 - phonics-1.4.0/phonics/man/phonex.Rd | 28 phonics-1.4.0/phonics/man/phonics-package.Rd |only phonics-1.4.0/phonics/man/phonics.Rd | 88 +- phonics-1.4.0/phonics/man/rogerroot.Rd | 33 - phonics-1.4.0/phonics/man/soundex.Rd | 48 - phonics-1.4.0/phonics/man/statcan.Rd | 28 phonics-1.4.0/phonics/src/metaphone.cpp | 247 +++++-- phonics-1.4.0/phonics/src/soundex.cpp | 121 ++- phonics-1.4.0/phonics/tests/testthat.R |only phonics-1.4.0/phonics/tests/testthat/cologne.csv | 2 phonics-1.4.0/phonics/tests/testthat/helper-encoders.R |only phonics-1.4.0/phonics/tests/testthat/lein.csv | 4 phonics-1.4.0/phonics/tests/testthat/metaphone.csv | 2 phonics-1.4.0/phonics/tests/testthat/mra-compare.csv | 4 phonics-1.4.0/phonics/tests/testthat/mra-encode.csv | 2 phonics-1.4.0/phonics/tests/testthat/nysiis-modified.csv | 15 phonics-1.4.0/phonics/tests/testthat/nysiis.csv | 3 phonics-1.4.0/phonics/tests/testthat/onca-modified-refined.csv | 2 phonics-1.4.0/phonics/tests/testthat/onca-modified.csv | 2 phonics-1.4.0/phonics/tests/testthat/onca-refined.csv | 2 phonics-1.4.0/phonics/tests/testthat/onca.csv | 2 phonics-1.4.0/phonics/tests/testthat/phonex.csv | 2 phonics-1.4.0/phonics/tests/testthat/phonics.csv | 8 phonics-1.4.0/phonics/tests/testthat/rogerroot.csv | 6 phonics-1.4.0/phonics/tests/testthat/soundex-refined.csv | 4 phonics-1.4.0/phonics/tests/testthat/soundex.csv | 4 phonics-1.4.0/phonics/tests/testthat/statcan.csv | 2 phonics-1.4.0/phonics/tests/testthat/test-caverphone.R | 86 -- phonics-1.4.0/phonics/tests/testthat/test-cologne.R | 44 - phonics-1.4.0/phonics/tests/testthat/test-encoder-contracts.R |only phonics-1.4.0/phonics/tests/testthat/test-fixtures.R |only phonics-1.4.0/phonics/tests/testthat/test-lein.R | 42 - phonics-1.4.0/phonics/tests/testthat/test-metaphone.R | 50 - phonics-1.4.0/phonics/tests/testthat/test-mra.R | 103 +-- phonics-1.4.0/phonics/tests/testthat/test-nysiis.R | 86 -- phonics-1.4.0/phonics/tests/testthat/test-onca.R | 189 ------ phonics-1.4.0/phonics/tests/testthat/test-phonex.R | 43 - phonics-1.4.0/phonics/tests/testthat/test-phonics.R | 89 ++ phonics-1.4.0/phonics/tests/testthat/test-rogerroot.R | 42 - phonics-1.4.0/phonics/tests/testthat/test-soundex.R | 99 --- phonics-1.4.0/phonics/tests/testthat/test-spec-conformance.R |only phonics-1.4.0/phonics/tests/testthat/test-statcan.R | 44 - phonics-1.4.0/phonics/vignettes/phonics.Rmd | 66 +- 77 files changed, 1557 insertions(+), 1724 deletions(-)
Title: Download and Process Brazilian Education Data from INEP
Description: Download and process public education data from INEP (Instituto
Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira). Provides
functions to access microdata from the School Census (Censo Escolar),
ENEM (Exame Nacional do Ensino Médio), SAEB (Sistema de Avaliação da
Educação Básica), Higher Education Census (Censo da Educação Superior),
ENADE (Exame Nacional de Desempenho dos Estudantes),
ENCCEJA (Exame Nacional para Certificação de Competências de Jovens e Adultos),
IDD (Indicador de Diferença entre os Desempenhos Observado e Esperado),
CPC (Conceito Preliminar de Curso),
IGC (Índice Geral de Cursos),
CAPES graduate education data,
FUNDEB (Fundo de Manutencao e Desenvolvimento da Educacao Basica),
IDEB (Índice de Desenvolvimento da Educação Básica),
and other educational datasets. Returns data in
tidy format ready for analysis. Data source: INEP Open Data Portal
<https://www.gov.br/inep/pt-br/acesso-a-informacao/dados-abertos>.
Author: Sidney da Silva Pereira Bissoli [aut, cre]
Maintainer: Sidney da Silva Pereira Bissoli <sbissoli76@gmail.com>
Diff between educabR versions 1.0.0 dated 2026-05-27 and 1.1.0 dated 2026-08-23
DESCRIPTION | 6 MD5 | 38 NEWS.md | 32 R/get-ideb.R | 188 ++++ R/utils-download.R | 94 -- README.md | 32 build/vignette.rds |binary inst/doc/getting-started.R | 8 inst/doc/getting-started.Rmd | 8 inst/doc/getting-started.html | 18 inst/doc/mapping-education-with-geobr.Rmd | 4 inst/doc/mapping-education-with-geobr.html | 7 man/fetch_ideb_file.Rd |only man/get_ideb.Rd | 28 tests/testthat/test-get-ideb.R | 1191 ++++++++++++++++------------- tests/testthat/test-get-pipelines-excel.R | 36 tests/testthat/test-utils-cache.R | 4 tests/testthat/test-utils-download.R | 2 tests/testthat/test-year-discovery.R |only vignettes/getting-started.Rmd | 8 vignettes/mapping-education-with-geobr.Rmd | 4 21 files changed, 1061 insertions(+), 647 deletions(-)
Title: Empirical Bayes Estimation Strategies
Description: Empirical Bayes methods for learning prior distributions from data.
An unknown prior distribution (g) has yielded (unobservable) parameters, each of
which produces a data point from a parametric exponential family (f). The goal
is to estimate the unknown prior ("g-modeling") by deconvolution and Empirical
Bayes methods. Details and examples are in the paper by Narasimhan and Efron
(2020, <doi:10.18637/jss.v094.i11>).
Author: Bradley Efron [aut],
Balasubramanian Narasimhan [aut, cre]
Maintainer: Balasubramanian Narasimhan <naras@stat.Stanford.EDU>
Diff between deconvolveR versions 1.2-1 dated 2020-08-29 and 1.2-2 dated 2026-08-23
DESCRIPTION | 8 MD5 | 22 +- NEWS.md | 8 R/deconv.R | 6 R/deconvolveR-package.R | 5 README.md | 14 + build/vignette.rds |binary inst/doc/deconvolution.R | 6 inst/doc/deconvolution.html | 384 ++++++++++++++++++++++++++------------------ man/deconv.Rd | 6 man/deconvolveR-package.Rd | 19 ++ man/figures |only 12 files changed, 289 insertions(+), 189 deletions(-)
Title: Companion to the Book "The R Software"
Description: Functions and datasets for readers of the book
"The R Software: Fundamentals of Programming and Statistical
Analysis" by Lafaye de Micheaux, Drouilhet and Liquet
(2013) <doi:10.1007/978-1-4614-9020-3>.
Author: Pierre Lafaye De Micheaux [aut, cre],
Remy Drouilhet [aut],
Benoit Liquet [aut]
Maintainer: Pierre Lafaye De Micheaux <lafaye@unsw.edu.au>
This is a re-admission after prior archival of version 1.0.2 dated 2018-05-10
Diff between TRSbook versions 1.0.2 dated 2018-05-10 and 1.0.4 dated 2026-08-23
DESCRIPTION | 28 +++++++++++++++++++--------- MD5 | 34 +++++++++++++++++----------------- R/arrowaxis.R | 2 ++ R/barchart.R | 5 +++-- R/camembert.R | 3 ++- R/flashy.plot.R | 2 ++ inst/CITATION | 35 +++++++++++++++++++---------------- man/BIRTH.WEIGHT.Rd | 2 +- man/BMI.CHILD.Rd | 2 +- man/INFARCTION.Rd | 2 +- man/INTIMA.MEDIA.Rd | 2 +- man/NUTRIELDERLY.Rd | 2 +- man/TRSbook.Rd | 3 +-- man/VectorAddr.Rd | 2 +- man/arrowaxis.Rd | 4 ++++ man/getaddr.Rd | 6 +++--- man/writeaddr.Rd | 6 +++--- src/getaddr.c | 38 +++++++++++++++++++++++++++----------- 18 files changed, 108 insertions(+), 70 deletions(-)
Title: Transformation Models
Description: Formula-based user-interfaces to specific transformation models
implemented in package 'mlt' (<DOI:10.32614/CRAN.package.mlt>, <DOI:10.32614/CRAN.package.mlt.docreg>).
Available models include Cox models, some parametric
survival models (Weibull, etc.), models for ordered categorical variables,
normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression
(Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory
is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An extension to
transformation models for clustered data is provided (Barbanti and Hothorn, 2022,
<DOI:10.1093/biostatistics/kxac048>) and a tutorial explains applications in survival analysis
(Siegfried et al., 2025, <DOI:10.48550/arXiv.2402.06428>). Multivariate conditional transformation models
(Klein et al, 2022, <DOI:10.1111/sjos.12501>) and shift-scale transformation models (Siegfried et al, 2023,
<DOI:10.108 [...truncated...]
Author: Torsten Hothorn [aut, cre] ,
Luisa Barbanti [ctb] ,
Sandra Siegfried [aut] ,
Lucas Kook [aut] ,
Susanne Dandl [ctb] ,
Brian Ripley [ctb],
Bill Venables [ctb],
Douglas M. Bates [ctb],
Nadja Klein [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>
Diff between tram versions 1.4-4 dated 2026-07-16 and 1.4-5 dated 2026-08-23
DESCRIPTION | 31 ++++++++++++++++--------------- MD5 | 42 +++++++++++++++++++++--------------------- R/methods.R | 5 +++-- R/mmlt.R | 5 ++++- build/partial.rdb |binary inst/NEWS.Rd | 10 ++++++++++ inst/doc/NAMI.R | 2 +- inst/doc/NAMI.Rnw | 2 +- inst/doc/NAMI.pdf |binary inst/doc/mtram.R | 2 +- inst/doc/mtram.Rnw | 2 +- inst/doc/mtram.pdf |binary inst/doc/survtram.pdf |binary inst/doc/tram.R | 2 +- inst/doc/tram.Rnw | 2 +- inst/doc/tram.pdf |binary man/tram-methods.Rd | 16 +++++++++++----- tests/bugfixes.R | 10 ++++++++++ tests/mmlt-interface.R | 41 +++++++++++++++++++++++------------------ vignettes/NAMI.Rnw | 2 +- vignettes/mtram.Rnw | 2 +- vignettes/tram.Rnw | 2 +- 22 files changed, 107 insertions(+), 71 deletions(-)
Title: Singular Linear Models for Longitudinal Data
Description: Fits singular linear models to longitudinal data. Singular linear
models are useful when the number, or timing, of longitudinal observations
may be informative about the observations themselves. They are described
in Farewell (2010) <doi:10.1093/biomet/asp068>, and are extensions of the
linear increments model <doi:10.1111/j.1467-9876.2007.00590.x> to general
longitudinal data.
Author: Daniel Farewell [aut, cre]
Maintainer: Daniel Farewell <farewelld@cardiff.ac.uk>
Diff between slim versions 0.1.1 dated 2017-05-15 and 0.1.2 dated 2026-08-23
slim-0.1.1/slim/man/slim.methods.Rd |only slim-0.1.2/slim/DESCRIPTION | 13 ++++++----- slim-0.1.2/slim/MD5 | 30 ++++++++++++++------------ slim-0.1.2/slim/NEWS.md | 5 +--- slim-0.1.2/slim/R/methods.R | 30 +++++++++----------------- slim-0.1.2/slim/R/slim-package.R |only slim-0.1.2/slim/R/slim.R | 19 ---------------- slim-0.1.2/slim/README.md |only slim-0.1.2/slim/build/vignette.rds |binary slim-0.1.2/slim/data/dialysis.rda |only slim-0.1.2/slim/inst/doc/slim.R | 36 ++++++++++++++++---------------- slim-0.1.2/slim/inst/doc/slim.pdf |binary slim-0.1.2/slim/man/dialysis.Rd | 6 +++-- slim-0.1.2/slim/man/fit_slim.Rd | 2 - slim-0.1.2/slim/man/list_covariances.Rd | 2 - slim-0.1.2/slim/man/print.slim.Rd | 14 ++++++++---- slim-0.1.2/slim/man/slim-package.Rd | 7 +++++- slim-0.1.2/slim/man/slim.Rd | 3 -- 18 files changed, 77 insertions(+), 90 deletions(-)
Title: Probabilistic Efficiency Analysis Using Explainable Artificial
Intelligence
Description: Provides a probabilistic framework that integrates Data Envelopment
Analysis (DEA) (Banker et al., 1984) <doi:10.1287/mnsc.30.9.1078> with machine
learning classifiers (Kuhn, 2008) <doi:10.18637/jss.v028.i05> to estimate both the
(in)efficiency status and the probability of efficiency for decision-making
units. The approach trains predictive models on DEA-derived efficiency labels
(Charnes et al., 1985) <doi:10.1016/0304-4076(85)90133-2>, enabling explainable
artificial intelligence (XAI) workflows with global and local interpretability
tools, including permutation importance (Molnar et al., 2018) <doi:10.21105/joss.00786>,
Shapley value explanations (Strumbelj & Kononenko, 2014) <doi:10.1007/s10115-013-0679-x>,
and sensitivity analysis (Cortez, 2011) <https://CRAN.R-project.org/package=rminer>.
The framework also supports probability-threshold peer selection and counterfactual
improvement recommendations for benchmarking and policy evaluation. T [...truncated...]
Author: Ricardo Gonzalez Moyano [cre, aut] ,
Juan Aparicio [aut] ,
Jose Luis Zofio [aut] ,
Victor Espana [aut]
Maintainer: Ricardo Gonzalez Moyano <ricardo.gonzalezm@umh.es>
Diff between PEAXAI versions 1.0.2 dated 2026-06-01 and 1.0.3 dated 2026-08-23
DESCRIPTION | 12 MD5 | 69 NAMESPACE | 116 - R/PEAXAI_counterfactuals.R | 583 +++--- R/PEAXAI_fitting.R | 277 ++ R/PEAXAI_importance_features.R | 221 +- R/PEAXAI_peer.R | 142 - R/PEAXAI_predict.R | 94 R/PEAXAI_ranking.R | 128 - R/SMOTE_Z_data.R | 7 R/SMOTE_data.R | 13 R/convex_facets.R | 46 R/get_SMOTE_DMUs.R | 1033 +++++----- R/label_efficiency.R | 610 +++--- R/preprocessing.R | 3811 +++++++++++++++++++++++++++++----------- R/simulations.R |only R/training.R | 2 README.md | 2 inst/doc/PEAXAI.R | 18 inst/doc/PEAXAI.Rmd | 46 inst/doc/PEAXAI.html | 381 ++- man/PEAXAI_counterfactuals.Rd | 103 - man/PEAXAI_fitting.Rd | 86 man/PEAXAI_global_importance.Rd | 268 +- man/PEAXAI_local_importance.Rd | 294 +-- man/PEAXAI_peer.Rd | 120 - man/PEAXAI_predict.Rd | 104 - man/PEAXAI_ranking.Rd | 111 - man/SMOTE_Z_data.Rd | 6 man/SMOTE_data.Rd | 9 man/cobb_douglas_XnY1.Rd |only man/convex_facets.Rd | 68 man/find_beta_maxmin.Rd | 142 - man/get_SMOTE_DMUs.Rd | 25 man/label_efficiency.Rd | 1 man/reffcy.Rd |only vignettes/PEAXAI.Rmd | 46 37 files changed, 5604 insertions(+), 3390 deletions(-)
Title: Optimal Binning and Weight of Evidence Framework for Modeling
Description: High-performance implementation of 37 optimal binning algorithms
(16 categorical, 21 numerical) for Weight of Evidence ('WoE') transformation,
credit scoring, and risk modeling. Includes advanced methods such as Mixed
Integer Linear Programming ('MILP'), Genetic Algorithms, Simulated Annealing,
and Monotonic Regression. Features automatic method selection based on
Information Value ('IV') maximization, strict monotonicity enforcement, and
efficient handling of large datasets via 'Rcpp'. Provides automated variable
screening by Information Value strength and bin ordering, and generation of
the equivalent 'SQL' 'CASE' expressions for in-database scoring. Fully
integrated with the 'tidymodels' ecosystem for building robust machine
learning pipelines.
Based on methods described in Siddiqi (2006) <doi:10.1002/9781119201731>
and Navas-Palencia (2020) <doi:10.48550/arXiv.2001.08025>.
Author: Jose Evandeilton Lopes [aut, cre, cph]
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>
Diff between OptimalBinningWoE versions 1.0.8 dated 2026-01-29 and 1.13.3 dated 2026-08-23
OptimalBinningWoE-1.0.8/OptimalBinningWoE/inst/include |only OptimalBinningWoE-1.0.8/OptimalBinningWoE/man/fit_logistic_regression.Rd |only OptimalBinningWoE-1.0.8/OptimalBinningWoE/man/ob_gains_table.Rd |only OptimalBinningWoE-1.0.8/OptimalBinningWoE/man/ob_gains_table_feature.Rd |only OptimalBinningWoE-1.13.3/OptimalBinningWoE/DESCRIPTION | 30 OptimalBinningWoE-1.13.3/OptimalBinningWoE/MD5 | 255 OptimalBinningWoE-1.13.3/OptimalBinningWoE/NAMESPACE | 22 OptimalBinningWoE-1.13.3/OptimalBinningWoE/NEWS.md | 1309 ++ OptimalBinningWoE-1.13.3/OptimalBinningWoE/R/RcppExports.R | 382 OptimalBinningWoE-1.13.3/OptimalBinningWoE/R/ob_binning_cutpoints_cat.R | 22 OptimalBinningWoE-1.13.3/OptimalBinningWoE/R/ob_binning_cutpoints_num.R | 47 OptimalBinningWoE-1.13.3/OptimalBinningWoE/R/ob_correlation.R | 8 OptimalBinningWoE-1.13.3/OptimalBinningWoE/R/ob_logistic_regression.R | 7 OptimalBinningWoE-1.13.3/OptimalBinningWoE/R/ob_utilities.R | 12 OptimalBinningWoE-1.13.3/OptimalBinningWoE/R/obc_dmiv.R | 8 OptimalBinningWoE-1.13.3/OptimalBinningWoE/R/obc_jedi_mwoe.R | 8 OptimalBinningWoE-1.13.3/OptimalBinningWoE/R/obc_sketch.R | 10 OptimalBinningWoE-1.13.3/OptimalBinningWoE/R/obn_ir.R | 29 OptimalBinningWoE-1.13.3/OptimalBinningWoE/R/obn_ldb.R | 8 OptimalBinningWoE-1.13.3/OptimalBinningWoE/R/obn_mdlp.R | 12 OptimalBinningWoE-1.13.3/OptimalBinningWoE/R/obn_mob.R | 736 - OptimalBinningWoE-1.13.3/OptimalBinningWoE/R/obn_mrblp.R | 601 - OptimalBinningWoE-1.13.3/OptimalBinningWoE/R/obn_sketch.R | 798 - OptimalBinningWoE-1.13.3/OptimalBinningWoE/R/obwoe.R | 5041 +++++----- OptimalBinningWoE-1.13.3/OptimalBinningWoE/R/obwoe_engine.R |only OptimalBinningWoE-1.13.3/OptimalBinningWoE/R/obwoe_report.R |only OptimalBinningWoE-1.13.3/OptimalBinningWoE/R/obwoe_score.R |only OptimalBinningWoE-1.13.3/OptimalBinningWoE/R/obwoe_scorecard.R |only OptimalBinningWoE-1.13.3/OptimalBinningWoE/R/obwoe_select.R |only OptimalBinningWoE-1.13.3/OptimalBinningWoE/R/obwoe_sql.R |only 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OptimalBinningWoE-1.13.3/OptimalBinningWoE/inst/doc/introduction.html | 2641 ++--- OptimalBinningWoE-1.13.3/OptimalBinningWoE/inst/extdata |only OptimalBinningWoE-1.13.3/OptimalBinningWoE/man/control.obwoe.Rd | 29 OptimalBinningWoE-1.13.3/OptimalBinningWoE/man/control.obwoe_scorecard.Rd |only OptimalBinningWoE-1.13.3/OptimalBinningWoE/man/dot-dispatch_algorithm.Rd | 3 OptimalBinningWoE-1.13.3/OptimalBinningWoE/man/dot-ob_as_table.Rd |only OptimalBinningWoE-1.13.3/OptimalBinningWoE/man/dot-ob_auc_ks_binned.Rd |only OptimalBinningWoE-1.13.3/OptimalBinningWoE/man/dot-ob_card_score.Rd |only OptimalBinningWoE-1.13.3/OptimalBinningWoE/man/dot-ob_cutoff_table.Rd |only OptimalBinningWoE-1.13.3/OptimalBinningWoE/man/dot-ob_engine_get.Rd |only OptimalBinningWoE-1.13.3/OptimalBinningWoE/man/dot-ob_engine_registry.Rd |only OptimalBinningWoE-1.13.3/OptimalBinningWoE/man/dot-ob_feature_metrics.Rd |only OptimalBinningWoE-1.13.3/OptimalBinningWoE/man/dot-ob_fit_checked.Rd |only 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More information about OptimalBinningWoE at CRAN
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Title: Marginalization over Incomplete Auxiliaries
Description: Implements methods to estimate conditional outcome means in
settings with missingness-not-at-random and incomplete auxiliary variables.
Specifically, this package implements the marginalization over incomplete
auxiliaries (MIA) method proposed by Mathur et al. (2026) <doi:10.13140/RG.2.2.30750.19524>.
The package supports the iterative conditional expectation estimator and
the noniterative conditional expectation estimator.
Author: Sean McGrath [aut, cre] ,
Shaun Seaman [aut] ,
Willi Zhang [aut] ,
Ilya Shpitser [aut] ,
Maya Mathur [aut]
Maintainer: Sean McGrath <sean.mcgrath514@gmail.com>
Diff between miapack versions 0.1.0 dated 2026-02-25 and 0.2.0 dated 2026-08-23
miapack-0.1.0/miapack/R/mia.R |only miapack-0.1.0/miapack/man/mia.Rd |only miapack-0.2.0/miapack/DESCRIPTION | 12 - miapack-0.2.0/miapack/MD5 | 37 ++-- miapack-0.2.0/miapack/NAMESPACE | 3 miapack-0.2.0/miapack/NEWS.md |only miapack-0.2.0/miapack/R/bootstrap.R | 62 ++++-- miapack-0.2.0/miapack/R/data.R | 2 miapack-0.2.0/miapack/R/mia_ice.R |only miapack-0.2.0/miapack/R/mia_nice.R |only miapack-0.2.0/miapack/R/s3methods.R | 26 +- miapack-0.2.0/miapack/README.md | 151 +++++++++++++---- miapack-0.2.0/miapack/build |only miapack-0.2.0/miapack/man/dat.sim.Rd | 2 miapack-0.2.0/miapack/man/get_CI.Rd | 22 +- miapack-0.2.0/miapack/man/mia_ice.Rd |only miapack-0.2.0/miapack/man/mia_nice.Rd |only miapack-0.2.0/miapack/man/print.mia.Rd | 10 - miapack-0.2.0/miapack/man/print.mia_ci.Rd | 2 miapack-0.2.0/miapack/tests/testthat/test-contrasts.R | 28 +-- miapack-0.2.0/miapack/tests/testthat/test-edge-cases.R | 24 +- miapack-0.2.0/miapack/tests/testthat/test-errors.R | 72 ++++---- miapack-0.2.0/miapack/tests/testthat/test-mia-ice.R |only miapack-0.2.0/miapack/tests/testthat/test-point-est.R | 18 +- 24 files changed, 298 insertions(+), 173 deletions(-)
Title: Companion to the Book Le Logiciel R
Description: Functions and datasets for readers of the book
"Le logiciel R: Maitriser le langage, Effectuer des analyses
statistiques" by Lafaye de Micheaux, Drouilhet and Liquet
(2011) <doi:10.1007/978-2-8178-0115-5>.
The documentation and help pages are written in French.
Author: Pierre Lafaye De Micheaux [aut, cre],
Remy Drouilhet [aut],
Benoit Liquet [aut]
Maintainer: Pierre Lafaye De Micheaux <lafaye@unsw.edu.au>
This is a re-admission after prior archival of version 1.2.1 dated 2018-05-17
Diff between LeLogicielR versions 1.2.1 dated 2018-05-17 and 1.2.3 dated 2026-08-23
DESCRIPTION | 39 +++++++++++++++++++++++--------------- MD5 | 46 ++++++++++++++++++++++----------------------- R/camembert.R | 3 +- R/flashy.plot.R | 2 + R/fleches.R | 2 + R/getaddr.R | 2 - R/tuyauxorgue.R | 5 ++-- inst/CITATION | 36 ++++++++++++++++++----------------- man/IMC.ENFANT.Rd | 22 ++++++++++----------- man/INFARCTUS.Rd | 42 ++++++++++++++++++++--------------------- man/INTIMA.MEDIA.Rd | 34 ++++++++++++++++----------------- man/LeLogicielR-package.Rd | 7 ++---- man/NUTRIAGE.Rd | 42 ++++++++++++++++++++--------------------- man/POIDS.NAISSANCE.Rd | 38 ++++++++++++++++++------------------- man/VectorAddr.Rd | 2 - man/camembert.Rd | 10 ++++----- man/cor0.test.Rd | 14 ++++++------- man/cor2.test.2.sample.Rd | 16 +++++++-------- man/diagcroix.Rd | 8 +++---- man/flashy.plot.Rd | 12 +++++------ man/fleches.Rd | 10 ++++++--- man/tuyauxorgue.Rd | 10 ++++----- man/writeaddr.Rd | 6 ++--- src/getaddr.c | 8 ++++--- 24 files changed, 219 insertions(+), 197 deletions(-)
Title: Statistical Tools for Evaluation of in Vitro Diagnostic Reagents
Description: Provides statistical workflows used in the evaluation of in vitro
diagnostic reagents. Facilities include method comparison and
Bland-Altman analysis, receiver operating characteristic analysis,
qualitative agreement, precision and variance-component analysis,
reference intervals, stability studies, quality-control charts,
curve fitting, analytical sensitivity, outlier and normality assessment,
and sample-size calculations. For methodological details,
see Bland and Altman (1986) <doi:10.1016/S0140-6736(86)90837-8>,
Passing and Bablok (1983) <doi:10.1515/cclm.1983.21.11.709>,
Linnet (1993) <doi:10.1093/clinchem/39.3.424>,
Hanley and McNeil (1982) <doi:10.1148/radiology.143.1.7063747>,
Horn et al. (1998) <doi:10.1093/clinchem/44.3.622>,
Westgard et al. (1981) <doi:10.1093/clinchem/27.3.493>,
and Lu et al. (2016) <doi:10.1515/ijb-2015-0039>.
Author: hiox-tech [cph, aut, cre]
Maintainer: hiox-tech <GeorgeBinDragon@outlook.com>
Diff between ivdtools versions 0.1.2 dated 2026-08-20 and 0.1.3 dated 2026-08-23
DESCRIPTION | 6 +-- MD5 | 12 +++---- NEWS.md | 6 +++ R/005-fit.R | 13 ++++--- R/015-sensitivity.R | 65 +++++++++++++++++++++++++++++++------- man/lob_lod_loq.Rd | 18 +++++++--- tests/testthat/test-sensitivity.R | 50 ++++++++++++++++++++++++++++- 7 files changed, 138 insertions(+), 32 deletions(-)
Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects
Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre],
Tim Gyger [aut],
Pascal Kuendig [aut],
Benoit Jacob [cph],
Gael Guennebaud [cph],
Nicolas Carre [cph],
Pierre Zoppitelli [cph],
Gauthier Brun [cph],
Jean Ceccato [cph],
Jitse Niesen [cph],
Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>
Diff between gpboost versions 1.7.2 dated 2026-08-19 and 1.7.4 dated 2026-08-23
DESCRIPTION | 8 MD5 | 23 R/GPModel.R | 11 configure.ac | 2 man/GPModel.Rd | 6 man/GPModel_shared_params.Rd | 6 man/fitGPModel.Rd | 6 src/include/GPBoost/likelihoods.h | 628 +++++++++++++++++++- src/include/GPBoost/sparse_matrix_utils.h | 2 src/include/LightGBM/utils/openmp_wrapper.h | 2 tests/testthat/Rplots.pdf |only tests/testthat/_snaps |only tests/testthat/test_GPModel_ar1_multifidelity.R | 738 ++++++++++++------------ tests/testthat/test_GPModel_non_Gaussian_data.R | 207 ++++++ 14 files changed, 1208 insertions(+), 431 deletions(-)
Title: Transparent Analysis of Ordered Categorical Sequences
Description: Provides transparent, reproducible, and auditable tools for validating,
preparing, encoding, summarising, comparing, modelling, and diagnosing
ordered categorical sequence data. Supports explicit preprocessing
policies, contiguous motifs and bounded subsequences, consensus and group
comparisons, edit and transition distances, clustering and stability
diagnostics, transition networks, higher-order models, categorical,
mixture, multichannel, and covariate hidden Markov models, longitudinal
panel workflows, time-varying models, design-aware inference, analysis
contracts and provenance audits, and guarded adapters to specialist
sequence-analysis packages.
Author: Stefanos Balaskas [aut, cre]
Maintainer: Stefanos Balaskas <s.balaskas@ac.upatras.gr>
Diff between gp3sequences versions 0.1.0 dated 2026-07-30 and 0.3.0 dated 2026-08-23
DESCRIPTION | 27 MD5 | 176 ++++ NAMESPACE | 66 + NEWS.md | 66 + R/gp3sequences-package.R | 12 R/sequence-adapters.R |only R/sequence-advanced-internals.R |only R/sequence-analysis-audit.R |only R/sequence-capabilities.R |only R/sequence-consensus-groups.R |only R/sequence-contracts.R |only R/sequence-covariate-hmm.R |only R/sequence-distances-clustering.R |only R/sequence-extension-internals.R |only R/sequence-inference.R |only R/sequence-latent-models.R |only R/sequence-multichannel-hmm.R |only R/sequence-networks.R |only R/sequence-panel.R |only R/sequence-subsequences.R |only R/sequence-test-cases.R |only R/sequence-time-models.R |only R/sequence-visualisations-extended.R |only README.md | 583 ++++++++------ build/vignette.rds |binary inst/CITATION | 2 inst/doc/choosing-a-sequence-analysis-method.R |only inst/doc/choosing-a-sequence-analysis-method.Rmd |only inst/doc/choosing-a-sequence-analysis-method.html |only inst/doc/consensus-and-group-comparisons.R |only inst/doc/consensus-and-group-comparisons.Rmd |only inst/doc/consensus-and-group-comparisons.html |only inst/doc/distances-clustering-and-stability.R |only inst/doc/distances-clustering-and-stability.Rmd |only inst/doc/distances-clustering-and-stability.html |only inst/doc/extended-sequence-visualisations.R |only inst/doc/extended-sequence-visualisations.Rmd |only inst/doc/extended-sequence-visualisations.html |only inst/doc/getting-started-with-gp3sequences.R |only inst/doc/getting-started-with-gp3sequences.Rmd |only inst/doc/getting-started-with-gp3sequences.html |only inst/doc/latent-models-and-optional-adapters.R |only inst/doc/latent-models-and-optional-adapters.Rmd |only inst/doc/latent-models-and-optional-adapters.html |only inst/doc/longitudinal-panel-sequences.R |only inst/doc/longitudinal-panel-sequences.Rmd |only inst/doc/longitudinal-panel-sequences.html |only inst/doc/multichannel-and-covariate-hmms.R |only inst/doc/multichannel-and-covariate-hmms.Rmd |only inst/doc/multichannel-and-covariate-hmms.html |only inst/doc/noncontiguous-subsequence-mining.R |only inst/doc/noncontiguous-subsequence-mining.Rmd |only inst/doc/noncontiguous-subsequence-mining.html |only inst/doc/reproducible-sequence-analysis-case-study.R |only inst/doc/reproducible-sequence-analysis-case-study.Rmd |only inst/doc/reproducible-sequence-analysis-case-study.html |only inst/doc/sequence-data-validation-and-preparation.R |only inst/doc/sequence-data-validation-and-preparation.Rmd |only inst/doc/sequence-data-validation-and-preparation.html |only inst/doc/sequence-inference-and-randomization.R |only inst/doc/sequence-inference-and-randomization.Rmd |only inst/doc/sequence-inference-and-randomization.html |only inst/doc/time-varying-condition-models.R |only inst/doc/time-varying-condition-models.Rmd |only inst/doc/time-varying-condition-models.html |only inst/doc/transition-networks-and-higher-order-models.R |only inst/doc/transition-networks-and-higher-order-models.Rmd |only inst/doc/transition-networks-and-higher-order-models.html |only inst/validation |only man/as_arules_sequences.Rd |only man/as_grpstring_data.Rd |only man/as_igraph_transition_network.Rd |only man/as_seqhmm_sequences.Rd |only man/as_traminer_sequences.Rd |only man/audit_sequence_analysis.Rd |only man/bootstrap_sequence_clusters.Rd |only man/bootstrap_sequence_group_difference.Rd |only man/bootstrap_transition_network.Rd |only man/cluster_sequences.Rd |only man/compare_sequence_analysis_results.Rd |only man/compare_sequence_groups.Rd |only man/compare_sequence_hmms.Rd |only man/compare_sequence_panel_changes.Rd |only man/compare_sequence_subsequences.Rd |only man/compute_sequence_distance.Rd |only man/create_consensus_sequence.Rd |only man/create_sequence_cluster_ensemble.Rd |only man/create_transition_network.Rd |only man/declare_sequence_comparison_design.Rd |only man/decode_covariate_sequence_states.Rd |only man/decode_multichannel_sequence_states.Rd |only man/decode_sequence_states.Rd |only man/detect_transition_communities.Rd |only man/extract_representative_sequences.Rd |only man/extract_sequence_subsequences.Rd |only man/filter_sequence_subsequences.Rd |only man/fit_covariate_sequence_hmm.Rd |only man/fit_higher_order_transition_model.Rd |only man/fit_multichannel_sequence_hmm.Rd |only man/fit_sequence_hmm.Rd |only man/fit_sequence_hmm_mixture.Rd |only man/fit_time_varying_sequence_model.Rd |only man/format_consensus_sequence.Rd |only man/gp3sequences-package.Rd | 12 man/plot_consensus_sequence.Rd |only man/plot_multichannel_sequence_hmm.Rd |only man/plot_sequence_cluster_silhouette.Rd |only man/plot_sequence_distance_heatmap.Rd |only man/plot_sequence_entropy.Rd |only man/plot_sequence_group_comparison.Rd |only man/plot_sequence_group_inference.Rd |only man/plot_sequence_index.Rd |only man/plot_sequence_panel_changes.Rd |only man/plot_sequence_state_distribution.Rd |only man/plot_sequence_subsequences.Rd |only man/plot_time_varying_sequence_model.Rd |only man/plot_transition_network.Rd |only man/predict_covariate_transition_probabilities.Rd |only man/predict_next_state.Rd |only man/predict_time_varying_sequence_model.Rd |only man/prepare_gp3tools_sequences.Rd |only man/prepare_sequence_panel.Rd |only man/sequence_capabilities.Rd |only man/summarise_consensus_agreement.Rd |only man/summarise_covariate_sequence_hmm.Rd |only man/summarise_multichannel_sequence_hmm.Rd |only man/summarise_sequence_cluster_stability.Rd |only man/summarise_sequence_distance.Rd |only man/summarise_sequence_group_inference.Rd |only man/summarise_sequence_hmm.Rd |only man/summarise_sequence_panel.Rd |only man/summarise_sequence_subsequences.Rd |only man/summarise_time_varying_sequence_model.Rd |only man/summarise_transition_centrality.Rd |only man/test_sequence_group_difference.Rd |only man/validate_sequence_clusters.Rd |only tests/testthat/helper-advanced-sequences.R |only tests/testthat/helper-sequence-extensions.R |only tests/testthat/test-adversarial-inputs.R |only tests/testthat/test-analysis-audit.R |only tests/testthat/test-capabilities.R |only tests/testthat/test-contract-invariants.R |only tests/testthat/test-metamorphic-invariants.R |only tests/testthat/test-sequence-adapters.R |only tests/testthat/test-sequence-consensus-groups.R |only tests/testthat/test-sequence-covariate-hmm.R |only tests/testthat/test-sequence-distances-clustering.R |only tests/testthat/test-sequence-inference.R |only tests/testthat/test-sequence-latent-models.R |only tests/testthat/test-sequence-multichannel-hmm.R |only tests/testthat/test-sequence-networks.R |only tests/testthat/test-sequence-panel.R |only tests/testthat/test-sequence-subsequences.R |only tests/testthat/test-sequence-time-models.R |only tests/testthat/test-sequence-visualisations-extended.R |only vignettes/choosing-a-sequence-analysis-method.Rmd |only vignettes/consensus-and-group-comparisons.Rmd |only vignettes/distances-clustering-and-stability.Rmd |only vignettes/extended-sequence-visualisations.Rmd |only vignettes/getting-started-with-gp3sequences.Rmd |only vignettes/latent-models-and-optional-adapters.Rmd |only vignettes/longitudinal-panel-sequences.Rmd |only vignettes/multichannel-and-covariate-hmms.Rmd |only vignettes/noncontiguous-subsequence-mining.Rmd |only vignettes/reproducible-sequence-analysis-case-study.Rmd |only vignettes/sequence-data-validation-and-preparation.Rmd |only vignettes/sequence-inference-and-randomization.Rmd |only vignettes/time-varying-condition-models.Rmd |only vignettes/transition-networks-and-higher-order-models.Rmd |only 169 files changed, 674 insertions(+), 270 deletions(-)
Title: Governance-First Predictive Modelling for 'Gazepoint' Research
Description: Provides governance-first infrastructure for leakage-resistant
predictive modelling and validation using 'Gazepoint'-derived research
data. Supports explicit task and role declarations, feature-provenance
manifests, group-aware holdout splitting and repeated resampling,
repository-aware fold evaluation, explicit governed tuning, nested grouped
resampling, fold-local preprocessing, discrimination and calibration
metrics, target-aligned uncertainty, external-validation and
transportability reports, prediction-to-decision governance, target-aware
conformal prediction, dataset-shift auditing, locked analysis plans,
portable model artifacts, robustness diagnostics, environment provenance,
research-object export, model cards, and reproducibility evidence.
Intended only for explicitly observed, non-sensitive outcomes and declared
scientific purposes. Use is prohibited for person identification,
biometric authentication, health or protected-attribute inference, and
direct or indirect inference [...truncated...]
Author: Stefanos Balaskas [aut, cre]
Maintainer: Stefanos Balaskas <s.balaskas@ac.upatras.gr>
Diff between gp3ml versions 0.1.0 dated 2026-07-30 and 0.3.0 dated 2026-08-23
DESCRIPTION | 46 +-- MD5 | 269 ++++++++++++++++++-- NAMESPACE | 134 +++++++++ NEWS.md | 50 +++ R/analysis-plan.R |only R/api-contracts.R |only R/conformal-prediction.R |only R/dataset-shift.R |only R/decision-governance.R |only R/engine-capabilities.R |only R/environment-provenance.R |only R/external-validation-expansion.R |only R/governance-profile.R |only R/governance-reports.R | 8 R/gp3ml-package.R | 40 ++ R/group-aware-resampling.R | 2 R/group-aware-splitting.R | 2 R/interoperability.R |only R/model-artifacts.R |only R/model-engines.R | 5 R/model-tuning.R |only R/modeling-utils.R | 4 R/nested-resampling.R |only R/next-generation-helpers.R |only R/release-provenance.R |only R/reproducibility-hardening.R |only R/resample-evaluation.R |only R/resampling-diagnostics.R | 2 R/research-workflow.R |only R/ro-crate.R |only R/roadmap-reporting.R |only R/roadmap-utils.R |only R/robustness-stability.R |only R/synthetic-workflows.R |only R/target-uncertainty.R |only R/task-governance.R | 4 README.md | 128 ++++++++- build |only inst/doc |only man/apply_gazepoint_decision_rule.Rd |only man/as_gp3ml_data.Rd |only man/assert_gp3ml_engine_available.Rd |only man/assess_gazepoint_conformal_coverage.Rd |only man/audit_gazepoint_abstention.Rd |only man/audit_gazepoint_dataset_shift.Rd |only man/audit_gazepoint_missingness_shift.Rd |only man/audit_gazepoint_model_robustness.Rd |only man/audit_gazepoint_nested_resampling.Rd |only man/audit_gazepoint_plan_deviations.Rd |only man/audit_gazepoint_reproducibility.Rd |only man/audit_gp3ml_api_stability.Rd |only man/audit_gp3ml_governance_profile.Rd |only man/bootstrap_gazepoint_metrics_by_unit.Rd |only man/capture_gazepoint_environment.Rd |only man/collect_gazepoint_fold_predictions.Rd |only man/combine_gazepoint_handoffs.Rd |only man/compare_gazepoint_environments.Rd |only man/compare_gazepoint_models.Rd |only man/create_gazepoint_decision_rule.Rd |only man/create_gazepoint_handoff.Rd |only man/create_gazepoint_model_artifact.Rd |only man/create_gazepoint_nested_folds.Rd |only man/create_gazepoint_release_evidence.Rd |only man/create_gazepoint_release_model_card.Rd |only man/create_gazepoint_synthetic_manifest.Rd |only man/create_gazepoint_synthetic_task.Rd |only man/create_gazepoint_tuning_grid.Rd |only man/create_gp3ml_governance_profile.Rd |only man/declare_gazepoint_analysis_plan.Rd |only man/declare_gazepoint_external_dataset.Rd |only man/evaluate_gazepoint_external_transportability.Rd |only man/evaluate_gazepoint_feature_stability.Rd |only man/evaluate_gazepoint_group_folds.Rd |only man/evaluate_gazepoint_missingness_sensitivity.Rd |only man/evaluate_gazepoint_nested_resampling.Rd |only man/evaluate_gazepoint_seed_stability.Rd |only man/evaluate_gazepoint_threshold_stability.Rd |only man/evaluate_gazepoint_thresholds.Rd |only man/fit_gazepoint_conformal.Rd |only man/gp3ml-package.Rd | 47 ++- man/gp3ml_api_contracts.Rd |only man/gp3ml_engine_capabilities.Rd |only man/gp3ml_interop_contracts.Rd |only man/gp3ml_object_schema.Rd |only man/integrate_black_box_model.Rd | 5 man/lock_gazepoint_analysis_plan.Rd |only man/normalize_gazepoint_artifact_text.Rd |only man/plot.gp3ml_abstention_audit.Rd |only man/plot.gp3ml_api_stability_audit.Rd |only man/plot.gp3ml_conformal_coverage.Rd |only man/plot.gp3ml_dataset_shift_audit.Rd |only man/plot.gp3ml_engine_capabilities.Rd |only man/plot.gp3ml_environment_comparison.Rd |only man/plot.gp3ml_governance_profile_audit.Rd |only man/plot.gp3ml_handoff_validation.Rd |only man/plot.gp3ml_model_artifact_validation.Rd |only man/plot.gp3ml_model_robustness_audit.Rd |only man/plot.gp3ml_plan_deviation_audit.Rd |only man/plot.gp3ml_release_checksum_validation.Rd |only man/plot.gp3ml_reproducibility_audit.Rd |only man/plot.gp3ml_research_bundle_validation.Rd |only man/plot.gp3ml_ro_crate_validation.Rd |only man/plot.gp3ml_threshold_evaluation.Rd |only man/predict_gazepoint_interval.Rd |only man/predict_gazepoint_set.Rd |only man/restore_gazepoint_model_artifact.Rd |only man/select_gazepoint_model.Rd |only man/select_gazepoint_threshold.Rd |only man/simulate_gazepoint_governed_data.Rd |only man/simulate_gazepoint_research_handoffs.Rd |only man/summarize_gazepoint_resample_performance.Rd |only man/summarize_gazepoint_resample_uncertainty.Rd |only man/summarize_gazepoint_shift.Rd |only man/test_gazepoint_model_portability.Rd |only man/tune_gazepoint_model.Rd |only man/validate_gazepoint_analysis_plan.Rd |only man/validate_gazepoint_conformal.Rd |only man/validate_gazepoint_decision_rule.Rd |only man/validate_gazepoint_environment.Rd |only man/validate_gazepoint_handoff.Rd |only man/validate_gazepoint_model_artifact.Rd |only man/validate_gazepoint_model_tuning.Rd |only man/validate_gazepoint_nested_evaluation.Rd |only man/validate_gazepoint_nested_folds.Rd |only man/validate_gazepoint_release_checksums.Rd |only man/validate_gazepoint_resample_evaluation.Rd |only man/validate_gazepoint_research_bundle.Rd |only man/validate_gazepoint_ro_crate.Rd |only man/validate_gazepoint_target_uncertainty.Rd |only man/validate_gazepoint_transportability.Rd |only man/validate_gp3ml_object_contract.Rd |only man/with_gazepoint_reproducible_output.Rd |only man/write_gazepoint_analysis_plan.Rd |only man/write_gazepoint_fold_diagnostics_csv.Rd | 2 man/write_gazepoint_group_folds_csv.Rd | 2 man/write_gazepoint_ml_split_csv.Rd | 2 man/write_gazepoint_model_tuning.Rd |only man/write_gazepoint_nested_evaluation.Rd |only man/write_gazepoint_release_checksums.Rd |only man/write_gazepoint_release_model_card.Rd |only man/write_gazepoint_reproducibility_audit.Rd |only man/write_gazepoint_resample_evaluation.Rd |only man/write_gazepoint_ro_crate.Rd |only man/write_gazepoint_target_uncertainty.Rd |only man/write_gazepoint_transportability_report.Rd |only man/write_gp3ml_api_contracts.Rd |only man/write_gp3ml_governance_profile.Rd |only tests/testthat/helper-roadmap.R |only tests/testthat/test-analysis-plan.R |only tests/testthat/test-api-contracts.R |only tests/testthat/test-bootstrap-metadata.R | 2 tests/testthat/test-conformal-prediction.R |only tests/testthat/test-dataset-shift.R |only tests/testthat/test-decision-governance.R |only tests/testthat/test-engine-capabilities.R |only tests/testthat/test-environment-provenance.R |only tests/testthat/test-external-validation-expansion.R |only tests/testthat/test-governance-profile.R |only tests/testthat/test-interoperability.R |only tests/testthat/test-model-tuning.R |only tests/testthat/test-nested-resampling.R |only tests/testthat/test-release-provenance.R |only tests/testthat/test-reproducibility-hardening.R |only tests/testthat/test-resample-evaluation.R |only tests/testthat/test-research-workflow.R |only tests/testthat/test-ro-crate.R |only tests/testthat/test-roadmap-regressions.R |only tests/testthat/test-roadmap-reporting.R |only tests/testthat/test-roadmap-smoke.R |only tests/testthat/test-roadmap-writers.R |only tests/testthat/test-robustness-stability.R |only tests/testthat/test-synthetic-workflows.R |only tests/testthat/test-target-uncertainty.R |only vignettes |only 174 files changed, 662 insertions(+), 92 deletions(-)
Title: Contract-First Bayesian Workflows for Hierarchical Behavioural
Data
Description: Provides transparent, contract-first infrastructure for Bayesian
analysis of repeated-measures and hierarchical behavioural data. It
supports approved Bernoulli-logit, positive lognormal duration, and
governed Gaussian dynamic-pupillometry workflows with strict readiness
auditing, deterministic simulation, explicit preparation and
transformation replay, inspectable scale-aware priors, prior and posterior
predictive checks, restricted optional fitting through 'brms' with either
'rstan' or 'cmdstanr', sampling and temporal diagnostics, explicit
posterior estimands, sensitivity analysis, target-specific predictive
validation, simulation-based calibration, and conservative reporting.
Core contracts and validation remain backend-independent.
Version 0.5 adds governed robust and distributional dynamic pupillometry, bounded ARMA residual structures, Gaussian-process trajectories, explicit measurement uncertainty and missing-data models, joint binocular analysis, predictive model comparison, f [...truncated...]
Author: Stefanos Balaskas [aut, cre, cph]
Maintainer: Stefanos Balaskas <s.balaskas@ac.upatras.gr>
Diff between gp3bayes versions 0.1.1 dated 2026-08-09 and 0.5.0 dated 2026-08-23
DESCRIPTION | 29 MD5 | 811 +++++++++- NAMESPACE | 634 +++++++ NEWS.md | 179 ++ R/advanced-optional-workflows.R |only R/advanced-predictive-graphics.R |only R/analysis-bundle.R |only R/analysis-manifest.R |only R/backend-reliability.R |only R/binary-model-fitting.R | 24 R/design-support-diagnostics.R |only R/evidence-graphics-gg.R |only R/global-variables.R |only R/gp3bayes-package.R | 34 R/hierarchical-effects-advanced.R |only R/loo-group-influence.R |only R/loo-influence-atlas.R |only R/model-card.R |only R/model-readiness-audit.R | 4 R/posterior-validation-core.R | 12 R/postfit-exploration.R |only R/prediction-support.R |only R/prediction-surfaces.R |only R/predictive-diagnostics-advanced.R |only R/predictive-distribution-atlas.R |only R/prior-posterior-bridge.R |only R/publication-graphics.R |only R/publication-registry-dashboard.R |only R/pupil-advanced-audit.R |only R/pupil-advanced-diagnostics.R |only R/pupil-advanced-estimands.R |only R/pupil-advanced-fit.R |only 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inst/doc/optional-backend-installation.Rmd | 91 - inst/doc/optional-backend-installation.html | 164 +- inst/doc/pathological-simulation-scenarios.R |only inst/doc/pathological-simulation-scenarios.Rmd |only inst/doc/pathological-simulation-scenarios.html |only inst/doc/posterior-exploration-and-graphics.R |only inst/doc/posterior-exploration-and-graphics.Rmd |only inst/doc/posterior-exploration-and-graphics.html |only inst/doc/pre-fit-design-diagnostics.R |only inst/doc/pre-fit-design-diagnostics.Rmd |only inst/doc/pre-fit-design-diagnostics.html |only inst/doc/prediction-calibration-and-scoring.R |only inst/doc/prediction-calibration-and-scoring.Rmd |only inst/doc/prediction-calibration-and-scoring.html |only inst/doc/prediction-contrasts-ranking-and-groups.R |only inst/doc/prediction-contrasts-ranking-and-groups.Rmd |only inst/doc/prediction-contrasts-ranking-and-groups.html |only inst/doc/prediction-profiles-surfaces-and-contrasts.R |only 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man/pupil_readiness_table.Rd |only man/pupil_residual_acf.Rd |only man/pupil_residual_scale_table.Rd |only man/pupil_residual_spectrum.Rd |only man/pupil_response_parameter_table.Rd |only man/pupil_sensitivity_table.Rd |only man/pupil_specification_table.Rd |only man/pupil_trajectory_derivative_table.Rd |only man/pupil_trajectory_table.Rd |only man/pupil_validation_table.Rd |only man/random_intercept_variance_partition.Rd |only man/random_intercept_variance_partition_table.Rd |only man/random_slope_sensitivity_table.Rd |only man/read_analysis_manifest.Rd |only man/read_gp3bayes_schema.Rd |only man/recovery_estimate_table.Rd |only man/recovery_fit_status_table.Rd |only man/recovery_parameter_table.Rd |only man/register_publication_figure.Rd |only man/register_publication_table.Rd |only man/review_duration_extremes.Rd |only man/run_group_deletion_sensitivity.Rd |only man/run_random_slope_sensitivity.Rd |only man/run_sbc_plan.Rd |only man/run_sensitivity_suite.Rd |only man/sampler_diagnostic_table.Rd |only man/save_figure_set.Rd |only man/save_publication_registry_figures.Rd |only man/sbc_overview_table.Rd |only man/sbc_stats_table.Rd |only man/schema_comparison_table.Rd |only man/score_pupil_predictions.Rd |only man/sensitivity_suite_table.Rd |only man/simulate_advanced_pupil_timecourse.Rd |only man/simulate_binary_pathology.Rd |only man/simulate_binocular_pupil_timecourse.Rd |only man/simulate_declared_prior_draws.Rd |only man/simulate_duration_pathology.Rd |only man/simulate_pupil_response_shape.Rd |only man/simulate_pupil_timecourse.Rd |only man/specify_advanced_pupil_timecourse_model.Rd |only man/specify_binary_model_with_interaction_prior.Rd |only man/specify_binocular_pupil_model.Rd |only man/specify_duration_model_with_interaction_prior.Rd |only man/specify_pupil_distribution.Rd |only man/specify_pupil_response_shape_model.Rd |only man/specify_pupil_timecourse_model.Rd |only man/summarise_binary_group_variation.Rd |only 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man/write_analysis_bundle_report.Rd |only man/write_diagnostic_dashboard_report.Rd |only man/write_model_card.Rd |only man/write_publication_registry.Rd |only man/write_reproducibility_report.Rd |only tests/testthat/test-advanced-optional-workflows.R |only tests/testthat/test-advanced-predictive-diagnostics.R |only tests/testthat/test-advanced-predictive-graphics.R |only tests/testthat/test-analysis-bundle-suite.R |only tests/testthat/test-analysis-manifest.R |only tests/testthat/test-backend-reliability.R |only tests/testthat/test-design-support-diagnostics.R |only tests/testthat/test-evidence-graphics-gg.R |only tests/testthat/test-hierarchical-effects-advanced.R |only tests/testthat/test-loo-group-influence.R |only tests/testthat/test-loo-influence-atlas.R |only tests/testthat/test-model-card.R |only tests/testthat/test-postfit-adapter-smoke-contracts.R |only tests/testthat/test-postfit-exploration-suite.R |only tests/testthat/test-postfit-failure-contracts.R |only tests/testthat/test-prediction-support-suite.R |only tests/testthat/test-prediction-surfaces.R |only tests/testthat/test-predictive-distribution-atlas.R |only tests/testthat/test-prior-posterior-bridge.R |only tests/testthat/test-public-api-0.5-contract.R |only tests/testthat/test-public-api-contract.R |only tests/testthat/test-public-api-documentation-contract.R |only tests/testthat/test-publication-graphics-suite.R |only tests/testthat/test-publication-registry-dashboard.R |only tests/testthat/test-pupil-05-regressions.R |only tests/testthat/test-pupil-advanced-audit.R |only tests/testthat/test-pupil-advanced-brms-translation.R |only tests/testthat/test-pupil-advanced-graphics.R |only tests/testthat/test-pupil-advanced-sensitivity.R |only tests/testthat/test-pupil-advanced-specification.R |only tests/testthat/test-pupil-binocular.R |only tests/testthat/test-pupil-contract-gazepoint.R |only tests/testthat/test-pupil-functional-estimands.R |only tests/testthat/test-pupil-graphics-failures.R |only tests/testthat/test-pupil-measurement-missingness.R |only tests/testthat/test-pupil-response-shape.R |only tests/testthat/test-pupil-simulation-preparation.R |only tests/testthat/test-pupil-specification-estimands.R |only tests/testthat/test-pupil-temporal-complexity.R |only tests/testthat/test-pupil-validation-sensitivity.R |only tests/testthat/test-recovery-sensitivity-publication.R |only tests/testthat/test-sbc-publication-adapters.R |only tests/testthat/test-sensitivity-evidence-suite.R |only tests/testthat/test-specification-closure.R |only tests/testthat/test-unified-workflow-api.R |only vignettes/advanced-dynamic-pupillometry-0-5.Rmd |only vignettes/advanced-optional-workflows.Rmd |only vignettes/advanced-predictive-diagnostics.Rmd |only vignettes/arma-and-temporal-diagnostics.Rmd |only vignettes/backend-portability.Rmd |only vignettes/backend-reliability.Rmd |only vignettes/bayesian-dynamic-pupillometry.Rmd |only vignettes/binary-end-to-end.Rmd | 5 vignettes/binocular-pupil-models.Rmd |only vignettes/computational-governance-and-model-cards.Rmd |only vignettes/declared-prior-versus-posterior.Rmd |only vignettes/duration-end-to-end.Rmd | 5 vignettes/end-to-end-evidence-showcase.Rmd |only vignettes/estimands-and-sensitivity.Rmd |only vignettes/evidence-graphics-and-governance.Rmd |only vignettes/experimental-pupil-response-shape.Rmd |only vignettes/fitting-pupil-timecourse-models.Rmd |only vignettes/functional-dynamics-and-predictive-calibration.Rmd |only vignettes/gaussian-process-pupil-trajectories.Rmd |only vignettes/gazepoint-pupil-interoperability.Rmd |only vignettes/governed-pupil-model-comparison.Rmd |only vignettes/grouped-loo-influence.Rmd |only vignettes/hierarchical-effect-atlas.Rmd |only vignettes/hierarchical-effects-and-uncertainty.Rmd |only vignettes/loo-influence-and-model-comparison.Rmd |only vignettes/loo-influence-atlas.Rmd |only vignettes/measurement-error-and-missing-pupil-data.Rmd |only vignettes/model-cards-and-reporting-inventories.Rmd |only vignettes/optional-backend-installation.Rmd | 91 - vignettes/pathological-simulation-scenarios.Rmd |only vignettes/posterior-exploration-and-graphics.Rmd |only vignettes/pre-fit-design-diagnostics.Rmd |only vignettes/prediction-calibration-and-scoring.Rmd |only vignettes/prediction-contrasts-ranking-and-groups.Rmd |only vignettes/prediction-profiles-surfaces-and-contrasts.Rmd |only vignettes/predictive-distribution-and-calibration-uncertainty.Rmd |only vignettes/public-api-map.Rmd |only vignettes/publication-analysis-bundles.Rmd |only vignettes/publication-registries-and-dashboards.Rmd |only vignettes/pupil-baseline-gaze-luminance-sensitivity.Rmd |only vignettes/pupil-ppc-and-temporal-diagnostics.Rmd |only vignettes/pupil-preparation-and-auditing.Rmd |only vignettes/pupil-temporal-validation.Rmd |only vignettes/pupil-trajectories-and-estimands.Rmd |only vignettes/quality-hardening-and-failure-contracts.Rmd |only vignettes/recovery-diagnostics-for-publication.Rmd |only vignettes/release-case-study.Rmd |only vignettes/reproducible-analysis-manifests.Rmd |only vignettes/robust-distributional-pupil-models.Rmd |only vignettes/sbc-publication-diagnostics.Rmd |only vignettes/sensitivity-atlas.Rmd |only vignettes/sensitivity-evidence-workflow.Rmd |only vignettes/specification-closure.Rmd |only vignettes/stable-unified-workflow.Rmd |only vignettes/synthetic-advanced-pupillometry-gallery.Rmd |only vignettes/synthetic-gazepoint-pupillometry-case-study.Rmd |only vignettes/transformation-replay-and-detailed-ppc.Rmd |only 765 files changed, 2177 insertions(+), 333 deletions(-)
Title: Functional Propensity Score for Causal Inference
Description: Implements functional propensity score (FPS) weighting for causal inference with functional treatments. The method estimates weights that balance observed confounders by removing their dependence on the functional treatment and uses a dual formulation of the weighting problem for efficient unconstrained optimization. The framework supports scalar, binary, and functional outcomes, as well as functional covariates, and can be used to estimate marginal causal effects in settings with time-varying exposures. The methodology follows Ciardulli, S., Fontana, N., Vantini, S., and Ieva, F. (2026) "Generalized propensity score weighting for functional causal inference framework" <doi:10.48550/arXiv.2608.03200>.
Author: Nicole Fontana [aut, cre],
Simone Ciardulli [aut],
Simone Vantini [ths],
Francesca Ieva [ths]
Maintainer: Nicole Fontana <nicole.fontana@polimi.it>
Diff between FPScausal versions 0.1.0 dated 2026-08-09 and 0.1.1 dated 2026-08-23
DESCRIPTION | 16 ++++++++++------ MD5 | 8 ++++---- inst/WORDLIST | 2 ++ inst/doc/FPScausal.html | 44 ++++++++++++++++++++++---------------------- man/FPScausal-package.Rd | 6 ++++++ 5 files changed, 44 insertions(+), 32 deletions(-)
Title: Easily Scrape and Process AFL Data
Description: An easy package for scraping and processing Australia Rules Football (AFL)
data. 'fitzRoy' provides a range of functions for accessing publicly available data
from 'AFL Tables' <https://afltables.com/afl/afl_index.html>, 'Footy Wire' <https://www.footywire.com> and
'The Squiggle' <https://squiggle.com.au>. Further functions allow for easy processing,
cleaning and transformation of this data into formats that can be used for analysis.
Author: James Day [cre, aut],
Robert Nguyen [aut],
Matthew Erbs [ctb],
Oscar Lane [aut],
Jason Zivkovic [ctb],
Jacob Holden [ctb]
Maintainer: James Day <jamesthomasday@gmail.com>
Diff between fitzRoy versions 1.7.0 dated 2026-03-12 and 1.8.0 dated 2026-08-23
DESCRIPTION | 9 MD5 | 79 ++++--- R/fetch-betting-odds.R | 2 R/fetch-fixture.R | 3 R/fetch-ladder.R | 2 R/fetch-outofcontract.R | 2 R/fetch-player-stats.R | 30 +- R/fetch-results.R | 2 R/fetch_awards.R | 8 R/fetch_supercoach_dreamteam.R | 2 R/fetch_team_stats.R | 6 R/helper-aflcoaches.R | 2 R/helpers-afl.R | 202 +++++++++++++++++--- R/helpers-afltables-playerdetails.R | 2 R/helpers-afltables-playerstats.R | 100 ++++++--- R/helpers-footywire-playerdetails.R | 6 R/helpers-footywire.R | 8 R/plot-score-worm.R | 2 R/utils-http.R |only R/womens_stats.R | 13 - R/z_score-progression.R | 4 inst/doc/elo-ratings-example.html | 4 man/get_aflw_cookie.Rd | 2 man/get_score_progression_raw.Rd | 4 tests/testthat/_snaps |only tests/testthat/helper-afltables.R |only tests/testthat/helper-footywire.R |only tests/testthat/helper-network.R |only tests/testthat/test-fetch-awards.R | 98 +++++---- tests/testthat/test-fetch-betting-odds.R | 102 +++++----- tests/testthat/test-fetch-fixture.R | 176 +++++++++-------- tests/testthat/test-fetch-ladder.R | 163 +++++++++------- tests/testthat/test-fetch-lineup.R | 118 ++++++----- tests/testthat/test-fetch-outofcontract.R | 90 ++++---- tests/testthat/test-fetch-player-details.R | 70 +++--- tests/testthat/test-fetch-player-stats.R | 152 +++++++++------ tests/testthat/test-fetch-results.R | 66 +++--- tests/testthat/test-fetch_supercoach_dreamteam.R | 60 +++-- tests/testthat/test-fetch_team_stats.R | 18 - tests/testthat/test-helpers-afltables-playerstats.R | 70 ++++-- tests/testthat/test-helpers-afltables.R | 12 - tests/testthat/test-helpers-footywire.R | 32 +-- tests/testthat/test-helpers-general.R | 15 - 43 files changed, 1031 insertions(+), 705 deletions(-)
Title: Estimating (Time-Dependent) Drift Diffusion Models
Description: Fit and explore Drift Diffusion Models (DDMs),
a common tool in psychology for describing decision processes in simple
tasks. It can handle both time-independent and time-dependent DDMs. You
either choose prebuilt models or create your own, and the package takes
care of model predictions and parameter estimation. Model predictions
are derived via the numerical solutions provided by Richter, Ulrich, and
Janczyk (2023, <doi:10.1016/j.jmp.2023.102756>).
Author: Valentin Koob [cre, aut, cph],
Thomas Richter [aut, cph],
Markus Janczyk [aut]
Maintainer: Valentin Koob <v.koob@web.de>
Diff between dRiftDM versions 0.3.2 dated 2026-06-06 and 0.3.3 dated 2026-08-23
DESCRIPTION | 6 MD5 | 42 +-- NEWS.md | 371 +++++++++++++++--------------- R/core_bayes_estimate.R | 6 R/core_dm.R | 1 R/models.R | 37 +- README.md | 2 build/partial.rdb |binary build/vignette.rds |binary inst/CITATION | 2 inst/doc/dRiftDM.R | 8 inst/doc/dRiftDM.Rmd | 8 inst/doc/model_recovery.R | 1 inst/doc/model_recovery.Rmd | 1 inst/doc/model_recovery.html | 21 - inst/doc/predictions_simple_ddm.R | 4 inst/doc/predictions_simple_ddm.Rmd | 4 inst/doc/predictions_simple_ddm.html | 4 tests/testthat/test-core_bayes_estimate.R | 3 vignettes/dRiftDM.Rmd | 8 vignettes/model_recovery.Rmd | 1 vignettes/predictions_simple_ddm.Rmd | 4 22 files changed, 264 insertions(+), 270 deletions(-)
Title: Fast Strength-t Coverage Verification for Covering Arrays
Description: Verifies that an array covers every t-way interaction, the
certificate check for covering arrays, using compiled C code with
optional 'OpenMP' threading. Missing values are treated as wildcard
("flexible") entries that count as every symbol. Designed to be easy
to embed in other packages: a single C file with a registered .Call
entry point and one R wrapper.
Author: Christopher Smolen [aut, cre]
Maintainer: Christopher Smolen <chrispbsmolen@gmail.com>
Diff between caverify versions 0.1.2 dated 2026-08-20 and 0.1.3 dated 2026-08-23
DESCRIPTION | 6 +++--- MD5 | 6 +++--- NEWS.md | 10 ++++++++++ src/ca_verify.c | 49 +++++++++++++++++++++++++++++-------------------- 4 files changed, 45 insertions(+), 26 deletions(-)
Title: Pathwise Estimation of Covariate Balancing Propensity Scores
Description: Provides pathwise estimation of regularized logistic propensity
score models using covariate balancing loss functions rather than maximum
likelihood. Regularization paths are fit via the 'adelie' elastic-net
solver with a 'glmnet'-like interface, yielding balancing weights that target
covariate balance for the ATE and ATT. Under lasso penalization, lambda
bounds the maximum covariate imbalance, so the regularization path traces a
sequence of decreasing imbalance tolerances. For details, see Sverdrup &
Hastie (2026) <doi:10.48550/arXiv.2602.18577>.
Author: Erik Sverdrup [aut, cre],
Trevor Hastie [aut],
James Yang [ctb]
Maintainer: Erik Sverdrup <erik.sverdrup@gmail.com>
Diff between balnet versions 0.0.3 dated 2026-05-25 and 0.0.4 dated 2026-08-23
DESCRIPTION | 10 +- MD5 | 14 +-- R/balnet.R | 7 + R/cv.balnet.R | 85 ++++++++++++++++++++---- inst/include/adelie_core/solver/solver_base.hpp | 6 + inst/include/adelie_core/solver/utils.hpp | 4 - man/balnet.Rd | 4 - man/cv.balnet.Rd | 19 ++++- 8 files changed, 113 insertions(+), 36 deletions(-)
Title: Weighted Scores Method for Regression Models with Dependent Data
Description: The weighted scores method and composite likelihood information criteria as an intermediate step for variable/correlation selection for longitudinal ordinal and count data in Nikoloulopoulos, Joe and Chaganty (2011) <doi:10.1093/biostatistics/kxr005>, Nikoloulopoulos (2016) <doi:10.1002/sim.6871> and Nikoloulopoulos (2017) <doi:10.1080/00949655.2020.1759602>.
Author: Aristidis K. Nikoloulopoulos [aut, cre],
Harry Joe [aut]
Maintainer: Aristidis K. Nikoloulopoulos <a.nikoloulopoulos@uea.ac.uk>
Diff between weightedScores versions 0.9.5.3 dated 2020-03-23 and 0.9.5.4 dated 2026-08-23
DESCRIPTION | 10 +++++----- MD5 | 18 +++++++++--------- build/partial.rdb |binary man/CLIC.Rd | 12 ++++++------ man/godambe.Rd | 6 ++---- man/solvewtsc.Rd | 6 ++---- man/weightMat.Rd | 6 ++---- man/weightedScores-package.Rd | 12 +++++------- man/wtsc.Rd | 6 ++---- man/wtsc.wrapper.Rd | 6 ++---- 10 files changed, 35 insertions(+), 47 deletions(-)
More information about weightedScores at CRAN
Permanent link
Title: Fast Calculation of Feature Contributions in Boosting Trees
Description: Computes feature-specific R-squared (R2) contributions for
boosting tree models using a Shapley-value-based decomposition of the
total R-squared in polynomial time. Supports models fitted with
'XGBoost', 'LightGBM', and 'CatBoost', with optimized backend-specific
implementations and cached tree summaries suitable for large-scale
problems. Multiple
visualization tools are included for interpreting and communicating
feature contributions. The methodology is described in Jiang, Zhang,
and Zhang (2025) <doi:10.48550/arXiv.2407.03515>. Optional 'CatBoost'
support uses the R package 'catboost', which is not distributed on CRAN;
installation instructions and released binaries are provided by the
CatBoost project at <https://catboost.ai/docs/en/concepts/r-installation>.
Author: Steven He [aut],
Zhongli Jiang [aut, cre],
Dabao Zhang [aut]
Maintainer: Zhongli Jiang <zhongli.jiang.stats@gmail.com>
Diff between qshap versions 1.0.1 dated 2026-05-04 and 2.0.0 dated 2026-08-23
DESCRIPTION | 10 MD5 | 77 ++-- NAMESPACE | 3 R/RcppExports.R | 16 + R/catboost_fast_backend.R |only R/catboost_utils.R | 670 ++++++++++++++++++++++++++++++++++++++---- R/classes.R | 118 ++++++- R/get_tree.R |only R/lightgbm_utils.R | 198 +++++------- R/qshap-package.R | 2 R/tree_explainer.R | 177 ++++++----- R/tree_summary.R | 8 R/vis_module.R | 631 ++++++++++++++++++++++++++++++++++----- R/xgboost_utils.R | 15 man/gazer.Rd | 4 man/get_tree.Rd |only man/loss.Rd | 2 man/new_qshap_result.Rd | 10 man/new_simple_tree.Rd | 11 man/new_tree_summary.Rd | 8 man/plot.qshap_rsq.Rd | 7 man/plot_loss_heatmap.Rd |only man/plot_qshap.Rd | 6 man/qshap-package.Rd | 2 man/qshap.Rd | 13 man/qshap_result.Rd | 10 man/qshap_rsq.Rd | 28 - man/rsq.Rd | 25 + man/simple_tree.Rd | 11 man/tree_summary.Rd | 8 man/vis.Rd | 1 src/RcppExports.cpp | 60 +++ src/catboost_fast.cpp |only src/catboost_fused_router.h |only src/catboost_oblivious_core.h |only src/general_tree_ol2d.cpp |only src/general_tree_ol2d.h |only src/qshap.cpp | 316 +++++++++++++------ src/utils.cpp | 26 + src/utils.h | 16 + tests |only 41 files changed, 1948 insertions(+), 541 deletions(-)
Title: Tools for Supply Chain Management, Demand and Supply Planning
Description: Perform flexible and quick calculations for Demand and Supply Planning, such as projected inventories and coverages, as well as replenishment plan. For any time bucket, daily, weekly or monthly, and any granularity level, product or group of products.
Author: Nicolas Nguyen [aut, cre]
Maintainer: Nicolas Nguyen <nikonguyen@yahoo.fr>
Diff between planr versions 0.6.4 dated 2026-03-28 and 0.6.5 dated 2026-08-23
DESCRIPTION | 8 ++-- MD5 | 15 ++++++--- NAMESPACE | 1 R/data.R | 23 ++++++++++++++ R/inv_to_cov.R |only README.md | 64 ++++++++++++++++++++++++++++++++++++++- data/inventories_data.rda |only man/inv_to_cov.Rd |only man/inventories_data.Rd |only tests/testthat/test-alloc_dmd.R | 2 - tests/testthat/test-inv_to_cov.R |only 11 files changed, 102 insertions(+), 11 deletions(-)
Title: Betas-Select in Structural Equation Models and Linear Models
Description: It computes betas-select, coefficients after standardization in
structural equation models and regression models, standardizing only selected
variables. Supports models with moderation, with product terms formed after
standardization. It also offers confidence intervals that account for
standardization, including bootstrap confidence intervals as proposed by
Cheung et al. (2022) <doi:10.1037/hea0001188>. An introduction to the package
can be found in Sun et al. (2026) <doi:10.1080/00273171.2026.2672692>.
Author: Shu Fai Cheung [aut, cre] ,
Rong Wei Sun [aut] ,
Florbela Chang [aut] ,
Wendie Yang [aut] ,
Sing-Hang Cheung [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>
Diff between betaselectr versions 0.2.2 dated 2026-07-11 and 0.2.3 dated 2026-08-23
DESCRIPTION | 10 ++++----- MD5 | 19 ++++++++++-------- NEWS.md | 16 +++++++++++++++ R/lav_betaselect.R | 2 - R/lm_betaselect.R | 25 ++++++++++++++++++++++-- R/lm_betaselect_helpers.R | 2 - README.md | 2 - man/lav_betaselect.Rd | 2 - man/lm_betaselect.Rd | 6 ++++- tests/testthat/test_glm_betaselect_glm_object.R |only tests/testthat/test_lm_betaselect_lm_object.R |only tests/testthat/test_lm_betaselect_tibble.R |only 12 files changed, 64 insertions(+), 20 deletions(-)
Title: Feature Selection for 'mlr3'
Description: Feature selection package of the 'mlr3' ecosystem. It selects
the optimal feature set for any 'mlr3' learner. The package works with
several optimization algorithms e.g. Random Search, Recursive Feature
Elimination, and Genetic Search. Moreover, it can automatically
optimize learners and estimate the performance of optimized feature
sets with nested resampling.
Author: Marc Becker [aut, cre] ,
Patrick Schratz [aut] ,
Michel Lang [aut] ,
Bernd Bischl [aut] ,
John Zobolas [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>
Diff between mlr3fselect versions 1.6.0 dated 2026-05-21 and 1.7.0 dated 2026-08-23
DESCRIPTION | 12 MD5 | 199 +++---- NAMESPACE | 27 - NEWS.md | 34 + R/ArchiveAsyncFSelect.R | 22 R/ArchiveAsyncFSelectFrozen.R | 2 R/ArchiveBatchFSelect.R | 12 R/AutoFSelector.R | 86 +-- R/EnsembleFSResult.R | 88 +-- R/FSelector.R | 16 R/FSelectorAsyncFromOptimizerAsync.R | 2 R/FSelectorBatchDesignPoints.R | 4 R/FSelectorBatchGeneticSearch.R | 6 R/FSelectorBatchRFE.R | 30 - R/FSelectorBatchRFECV.R | 14 R/FSelectorBatchSequential.R | 46 - R/FSelectorBatchShadowVariableSearch.R | 72 +- R/ObjectiveFSelectAsync.R | 11 R/ObjectiveFSelectBatch.R | 12 R/auto_fselector.R | 2 R/embedded_ensemble_fselect.R | 6 R/ensemble_fselect.R | 13 R/extract_inner_fselect_archives.R | 4 R/extract_inner_fselect_results.R | 3 R/fselect.R | 89 +-- R/helper.R | 18 R/mlr_callbacks.R | 108 ++-- R/sugar.R | 8 R/zzz.R | 21 README.md | 19 build/partial.rdb |binary inst/CITATION |only inst/WORDLIST | 1 man/ArchiveAsyncFSelect.Rd | 366 +++++++------- man/ArchiveAsyncFSelectFrozen.Rd | 273 +++++----- man/ArchiveBatchFSelect.Rd | 346 ++++++------- man/AutoFSelector.Rd | 317 ++++++------ man/CallbackAsyncFSelect.Rd | 72 +- man/CallbackBatchFSelect.Rd | 66 +- man/ContextAsyncFSelect.Rd | 70 +- man/ContextBatchFSelect.Rd | 70 +- man/FSelectInstanceAsyncMultiCrit.Rd | 148 ++--- man/FSelectInstanceAsyncSingleCrit.Rd | 151 ++--- man/FSelectInstanceBatchMultiCrit.Rd | 183 +++---- man/FSelectInstanceBatchSingleCrit.Rd | 186 +++---- man/FSelector.Rd | 188 +++---- man/FSelectorAsync.Rd | 82 +-- man/FSelectorAsyncFromOptimizerAsync.Rd | 127 ++--- man/FSelectorBatch.Rd | 131 ++--- man/FSelectorBatchFromOptimizerBatch.Rd | 117 ++-- man/ObjectiveFSelect.Rd | 129 ++--- man/ObjectiveFSelectAsync.Rd | 54 +- man/ObjectiveFSelectBatch.Rd | 122 ++-- man/auto_fselector.Rd | 2 man/embedded_ensemble_fselect.Rd | 16 man/ensemble_fs_result.Rd | 481 ++++++++++--------- man/ensemble_fselect.Rd | 11 man/figures/logo.png |binary man/fselect.Rd | 9 man/mlr3fselect-package.Rd | 1 man/mlr3fselect.backup.Rd | 5 man/mlr3fselect.one_se_rule.Rd | 4 man/mlr3fselect.svm_rfe.Rd | 10 man/mlr_fselectors.Rd | 4 man/mlr_fselectors_async_design_points.Rd | 68 +- man/mlr_fselectors_async_exhaustive_search.Rd | 100 ++- man/mlr_fselectors_async_random_search.Rd | 68 +- man/mlr_fselectors_design_points.Rd | 72 +- man/mlr_fselectors_exhaustive_search.Rd | 68 +- man/mlr_fselectors_genetic_search.Rd | 72 +- man/mlr_fselectors_random_search.Rd | 68 +- man/mlr_fselectors_rfe.Rd | 71 +- man/mlr_fselectors_rfecv.Rd | 74 +- man/mlr_fselectors_sequential.Rd | 107 ++-- man/mlr_fselectors_shadow_variable_search.Rd | 106 ++-- man/reexports.Rd | 4 tests/testthat/test_ArchiveAsyncFSelect.R | 56 +- tests/testthat/test_ArchiveAsyncFSelectFrozen.R | 2 tests/testthat/test_ArchiveBatchFSelect.R | 73 ++ tests/testthat/test_AutoFSelector.R | 106 +++- tests/testthat/test_CallbackAsyncFSelect.R | 18 tests/testthat/test_FSelectInstanceAsyncMultiCrit.R | 12 tests/testthat/test_FSelectInstanceAsyncSingleCrit.R | 51 +- tests/testthat/test_FSelectInstanceSingleCrit.R | 18 tests/testthat/test_FSelectorRFE.R | 36 + tests/testthat/test_FSelectorRFECV.R | 109 ++++ tests/testthat/test_FSelectorSequential.R | 20 tests/testthat/test_FSelectorShadowVariableSearch.R | 16 tests/testthat/test_ObjectiveFSelect.R | 12 tests/testthat/test_ObjectiveFSelectAsync.R | 8 tests/testthat/test_auto_fselector.R | 4 tests/testthat/test_embedded_ensemble_fselect.R | 34 + tests/testthat/test_ensemble_fselect.R | 143 +++++ tests/testthat/test_extract_inner_fselect_archives.R | 71 ++ tests/testthat/test_extract_inner_fselect_result.R | 70 +- tests/testthat/test_fselect.R | 21 tests/testthat/test_fselect_nested.R | 4 tests/testthat/test_fsi.R | 8 tests/testthat/test_fsi_async.R | 4 tests/testthat/test_mlr_callbacks.R | 93 +++ tests/testthat/test_mlr_fselectors.R | 24 101 files changed, 3769 insertions(+), 2850 deletions(-)
Title: Psychometric Analysis with Rasch Measurement Theory
Description: Streamlines reproducible Rasch measurement theory analyses
for ordinal item-response data, combining estimation routines from
'eRm', 'psychotools', 'mirt', 'iarm', and 'lavaan' with consistent
diagnostic, plotting, and reporting layers. Covers the four basic
psychometric criteria summarised by Christensen et al. (2021)
<doi:10.1111/sms.13908> -- unidimensionality, local independence,
ordered response category thresholds, and invariance across
subgroups -- together with item fit, targeting, reliability,
category functioning, and descriptive item-response plots. A
distinguishing feature is the use of simulation-based critical
values to replace rule-of-thumb cutoffs for conditional infit mean-square,
Yen's Q3 local-dependence statistic, the largest residual-PCA eigenvalue,
ordinal CFA fit indices, and partial-gamma DIF and local-dependence
coefficients, optionally augmented with multiplicity-corrected bootstrap
p-values. Outputs are knitr::kable() tables and
'ggplot2' figures suitab [...truncated...]
Author: Magnus Johansson [aut, cre] ,
Nicklas Korsell [ctb] ,
Mirka Henninger [ctb] ,
Jan Radek [ctb]
Maintainer: Magnus Johansson <pgmj@pm.me>
Diff between easyRasch2 versions 1.1.1 dated 2026-08-04 and 1.2.0 dated 2026-08-23
DESCRIPTION | 6 MD5 | 115 +++-- NEWS.md | 117 +++++ R/bootstrap_restscore.R | 15 R/cfa_cutoff.R | 15 R/cicc_plot.R | 91 ++++ R/conditional_infit.R | 125 ++++-- R/conditional_infit_mi.R | 15 R/dif_partgam.R | 15 R/dif_tree.R | 7 R/infit_cutoff.R | 46 ++ R/infit_cutoff_mi.R | 12 R/infitcutoff_plot.R | 35 + R/ld_partgam.R | 496 +++++++++++++++++++++---- R/local_dependence.R | 155 ++++++- R/martin_lof.R | 345 ++++++++++------- R/person_fit.R | 29 + R/reliability.R | 34 + R/residual_pca.R | 15 R/utils-multiplicity.R | 376 ++++++++++++++++++ R/utils-validation.R | 39 + R/zzz_reproducibility.R |only README.md | 96 ++-- inst/doc/easyRasch2.Rmd | 90 ++-- inst/doc/easyRasch2.html | 202 +++++++--- man/RMdifGammaCutoff.Rd | 4 man/RMdimCFACutoff.Rd | 4 man/RMdimMartinLof.Rd | 73 ++- man/RMdimMartinLofResiduals.Rd | 20 - man/RMdimResidualPCACutoff.Rd | 4 man/RMitemICCPlot.Rd | 8 man/RMitemInfit.Rd | 39 + man/RMitemInfitCutoff.Rd | 34 + man/RMitemInfitCutoffMI.Rd | 14 man/RMitemInfitMI.Rd | 11 man/RMitemInfitPlot.Rd | 4 man/RMitemRestscoreBoot.Rd | 4 man/RMlocdepGamma.Rd | 30 - man/RMlocdepGammaCutoff.Rd | 28 + man/RMlocdepQ3.Rd | 30 + man/RMlocdepQ3Cutoff.Rd | 20 - man/RMpersonFit.Rd | 8 man/RMreliability.Rd | 4 man/easyRasch2-reproducibility.Rd |only tests/testthat/test-cicc_plot.R | 81 ++++ tests/testthat/test-conditional_infit.R | 6 tests/testthat/test-infit-flagging-defaults.R |only tests/testthat/test-infit_pvalue.R | 18 tests/testthat/test-ld_partgam_gamma.R |only tests/testthat/test-local_dependence.R | 6 tests/testthat/test-locdep-flagging-defaults.R |only tests/testthat/test-martin_lof.R | 104 ++++- tests/testthat/test-parallel-reproducibility.R |only tests/testthat/test-partgam_ld.R | 46 +- tests/testthat/test-person_fit.R | 34 + tests/testthat/test-reliability.R | 21 + tests/testthat/test-rounding.R |only vignettes/easyRasch2.Rmd | 90 ++-- vignettes/easyRasch2.Rmd.orig | 16 vignettes/figures/rasch-dif-cicc-1.png |binary vignettes/figures/rasch-personfit-1.png |binary vignettes/references.bib | 9 62 files changed, 2620 insertions(+), 641 deletions(-)
Title: 'Arrow' Database Connectivity ('ADBC') Driver Manager
Description: Provides a developer-facing interface to 'Arrow' Database
Connectivity ('ADBC') for the purposes of driver development, driver
testing, and building high-level database interfaces for users. 'ADBC'
<https://arrow.apache.org/adbc/> is an API standard for database access
libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] ,
Apache Arrow [aut, cph],
Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>
Diff between adbcdrivermanager versions 0.24.0-1 dated 2026-07-30 and 0.24.0-2 dated 2026-08-23
DESCRIPTION | 6 MD5 | 10 src/c/driver_manager/adbc_driver_manager_profiles.cc | 2 src/c/vendor/nanoarrow/nanoarrow.c | 590 ++++++++++++++++--- src/c/vendor/nanoarrow/nanoarrow.h | 122 +++ src/c/vendor/nanoarrow/nanoarrow.hpp | 2 6 files changed, 646 insertions(+), 86 deletions(-)
More information about adbcdrivermanager at CRAN
Permanent link
Title: Version, Share, Deploy, and Monitor Models
Description: The goal of 'vetiver' is to provide fluent tooling to
version, share, deploy, and monitor a trained model. Functions handle
both recording and checking the model's input data prototype, and
predicting from a remote API endpoint. The 'vetiver' package is
extensible, with generics that can support many kinds of models.
Author: Julia Silge [cre, aut] ,
Posit Software, PBC [cph, fnd]
Maintainer: Julia Silge <julia.silge@posit.co>
Diff between vetiver versions 0.2.7 dated 2025-12-13 and 0.2.8 dated 2026-08-23
vetiver-0.2.7/vetiver/inst/pima_Learner.R |only vetiver-0.2.8/vetiver/DESCRIPTION | 8 vetiver-0.2.8/vetiver/MD5 | 46 ++-- vetiver-0.2.8/vetiver/NAMESPACE | 46 ++-- vetiver-0.2.8/vetiver/NEWS.md | 4 vetiver-0.2.8/vetiver/R/dashboard.R | 2 vetiver-0.2.8/vetiver/R/monitor.R | 4 vetiver-0.2.8/vetiver/R/write-plumber.R | 2 vetiver-0.2.8/vetiver/build/vignette.rds |binary vetiver-0.2.8/vetiver/inst/doc/vetiver.R | 10 vetiver-0.2.8/vetiver/inst/doc/vetiver.Rmd | 12 - vetiver-0.2.8/vetiver/inst/doc/vetiver.html | 133 ++++++------ vetiver-0.2.8/vetiver/inst/penguins_Learner.R |only vetiver-0.2.8/vetiver/man/reexports.Rd | 2 vetiver-0.2.8/vetiver/man/vetiver-package.Rd | 5 vetiver-0.2.8/vetiver/man/vetiver_api.Rd | 2 vetiver-0.2.8/vetiver/man/vetiver_compute_metrics.Rd | 2 vetiver-0.2.8/vetiver/man/vetiver_dashboard.Rd | 4 vetiver-0.2.8/vetiver/man/vetiver_plot_metrics.Rd | 2 vetiver-0.2.8/vetiver/man/vetiver_write_plumber.Rd | 2 vetiver-0.2.8/vetiver/tests/testthat/_snaps/mlr3.md | 6 vetiver-0.2.8/vetiver/tests/testthat/_snaps/sagemaker.md | 2 vetiver-0.2.8/vetiver/tests/testthat/_snaps/write-docker.md | 12 + vetiver-0.2.8/vetiver/tests/testthat/test-mlr3.R | 31 +- vetiver-0.2.8/vetiver/vignettes/vetiver.Rmd | 12 - 25 files changed, 198 insertions(+), 151 deletions(-)
Title: A Universal Approach for Causal Mediation Analysis
Description: This program realizes a universal estimation approach that accommodates
multi-category variables and effect scales, making up for the deficiencies
of the existing approaches when dealing with non-binary exposures and
complex models. The estimation via bootstrapping can simultaneously provide results of
causal mediation on risk difference (RD), odds ratio (OR) and risk ratio (RR) scales with tests of the effects' difference.
The estimation is also applicable to many other settings, e.g., moderated mediation, inconsistent covariates,
panel data, etc. The high flexibility and compatibility
make it possible to apply for any type of model, greatly meeting the needs of
current empirical researches.
Author: Tianbao Zhou [aut, cre],
Xinghao Li [aut]
Maintainer: Tianbao Zhou <michaelzhou@buaa.edu.cn>
Diff between unvs.med versions 1.1.1 dated 2026-06-30 and 1.1.2 dated 2026-08-23
DESCRIPTION | 14 ++++++-------- MD5 | 4 ++-- NEWS.md | 5 ++++- 3 files changed, 12 insertions(+), 11 deletions(-)
Title: Generalized Kumaraswamy Distribution Family
Description: Implements the five-parameter Generalized Kumaraswamy ('gkw')
distribution proposed by 'Carrasco, Ferrari and Cordeiro (2010)'
<doi:10.48550/arXiv.1004.0911> and its seven nested sub-families for
modeling bounded continuous data on the unit interval (0,1). The 'gkw'
distribution extends the Kumaraswamy distribution described by Jones (2009)
<doi:10.1016/j.stamet.2008.04.001>. Provides density, distribution,
quantile, and random generation functions, along with analytical
log-likelihood, gradient, and Hessian functions implemented in 'C++' via
'RcppArmadillo' for maximum computational efficiency. Suitable for modeling
proportions, rates, percentages, and indices exhibiting complex features
such as asymmetry, or heavy tails and other shapes not adequately captured by
standard distributions like simple Beta or Kumaraswamy.
Author: Jose Evandeilton Lopes [aut, cre]
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>
Diff between gkwdist versions 1.1.4 dated 2026-05-28 and 1.1.5 dated 2026-08-23
gkwdist-1.1.4/gkwdist/inst/paper |only gkwdist-1.1.5/gkwdist/DESCRIPTION | 8 gkwdist-1.1.5/gkwdist/MD5 | 41 gkwdist-1.1.5/gkwdist/NEWS.md | 111 + gkwdist-1.1.5/gkwdist/README.md | 19 gkwdist-1.1.5/gkwdist/build/partial.rdb |binary gkwdist-1.1.5/gkwdist/build/vignette.rds |binary gkwdist-1.1.5/gkwdist/inst/CITATION | 14 gkwdist-1.1.5/gkwdist/inst/doc/into-gkwdist.html | 53 gkwdist-1.1.5/gkwdist/inst/doc/theory-gkwdist.Rmd | 480 +++--- gkwdist-1.1.5/gkwdist/inst/doc/theory-gkwdist.html | 786 ++++++---- gkwdist-1.1.5/gkwdist/src/bkw.cpp | 396 +---- gkwdist-1.1.5/gkwdist/src/ekw.cpp | 340 +--- gkwdist-1.1.5/gkwdist/src/gkw.cpp | 16 gkwdist-1.1.5/gkwdist/src/kkw.cpp | 512 +----- gkwdist-1.1.5/gkwdist/src/kw.cpp | 2 gkwdist-1.1.5/gkwdist/src/utils.h | 15 gkwdist-1.1.5/gkwdist/tests/testthat/test-boundary-derivatives.R |only gkwdist-1.1.5/gkwdist/tests/testthat/test-density-correctness.R |only gkwdist-1.1.5/gkwdist/tests/testthat/test-mle-performance.R | 15 gkwdist-1.1.5/gkwdist/vignettes/theory-gkwdist.Rmd | 480 +++--- 21 files changed, 1634 insertions(+), 1654 deletions(-)
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],
Dragoș Moldovan-Gruenfeld [aut],
Jeroen Ooms [aut],
Jacob Wujciak-Jens [aut],
Javier Luraschi [ctb], [...truncated...]
Maintainer: Jonathan Keane <jkeane@gmail.com>
Diff between arrow versions 25.0.0 dated 2026-07-16 and 25.0.1 dated 2026-08-23
arrow-25.0.0/arrow/tools/checksums/r-libarrow-darwin-arm64-25.0.0.zip.sha512 |only arrow-25.0.0/arrow/tools/checksums/r-libarrow-darwin-x86_64-25.0.0.zip.sha512 |only arrow-25.0.0/arrow/tools/checksums/r-libarrow-linux-arm64-25.0.0.zip.sha512 |only arrow-25.0.0/arrow/tools/checksums/r-libarrow-linux-x86_64-25.0.0.zip.sha512 |only arrow-25.0.0/arrow/tools/checksums/r-libarrow-windows-x86_64-25.0.0.zip.sha512 |only arrow-25.0.0/arrow/tools/cpp/src/arrow/util/bpacking_simd_128_alt.cc |only arrow-25.0.1/arrow/DESCRIPTION | 8 arrow-25.0.1/arrow/MD5 | 41 - arrow-25.0.1/arrow/NAMESPACE | 244 +++++----- arrow-25.0.1/arrow/NEWS.md | 16 arrow-25.0.1/arrow/R/type.R | 2 arrow-25.0.1/arrow/man/infer_type.Rd | 2 arrow-25.0.1/arrow/src/type_infer.cpp | 2 arrow-25.0.1/arrow/tools/checksums/r-libarrow-darwin-arm64-25.0.1.zip.sha512 |only arrow-25.0.1/arrow/tools/checksums/r-libarrow-darwin-x86_64-25.0.1.zip.sha512 |only arrow-25.0.1/arrow/tools/checksums/r-libarrow-linux-arm64-25.0.1.zip.sha512 |only arrow-25.0.1/arrow/tools/checksums/r-libarrow-linux-x86_64-25.0.1.zip.sha512 |only arrow-25.0.1/arrow/tools/checksums/r-libarrow-windows-x86_64-25.0.1.zip.sha512 |only arrow-25.0.1/arrow/tools/cpp/CMakeLists.txt | 2 arrow-25.0.1/arrow/tools/cpp/cmake_modules/ThirdpartyToolchain.cmake | 12 arrow-25.0.1/arrow/tools/cpp/meson.build | 2 arrow-25.0.1/arrow/tools/cpp/src/arrow/CMakeLists.txt | 28 - arrow-25.0.1/arrow/tools/cpp/src/arrow/util/bpacking.cc | 7 arrow-25.0.1/arrow/tools/cpp/src/arrow/util/bpacking_benchmark.cc | 5 arrow-25.0.1/arrow/tools/cpp/src/arrow/util/bpacking_simd_internal.h | 28 - arrow-25.0.1/arrow/tools/cpp/thirdparty/versions.txt | 4 arrow-25.0.1/arrow/tools/cpp/vcpkg.json | 2 27 files changed, 211 insertions(+), 194 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2026-08-09 0.1.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2026-07-17 2.2.2
2026-06-16 2.0.0
2025-11-19 1.0.8
2025-11-03 1.0.7
2025-10-29 1.0.5
Title: Statistical Methods for Quantitative Finance
Description: Provides data and functions used in the book "Statistical Methods for Quantitative Finance"
by David Ardia (2026).
Author: David Ardia [aut, cre, cph, fnd] ,
Marius Hofert [ctb, cph] ,
Kurt Hornik [ctb, cph] ,
Alexander J. McNeil [ctb, cph] ,
Dries Cornilly [ctb, cph] was ported under GPL-2 | GPL-3),
Kris Boudt [ctb, cph] was ported under GPL-2 | GPL-3)
Maintainer: David Ardia <david.ardia.ch@gmail.com>
Diff between smqf versions 1.1-1 dated 2026-06-01 and 1.1-7 dated 2026-08-23
smqf-1.1-1/smqf/R/FamaFrenchMonthly.R |only smqf-1.1-1/smqf/R/FamaFrenchWeekly.R |only smqf-1.1-1/smqf/data/FamaFrenchMonthly.rda |only smqf-1.1-1/smqf/data/FamaFrenchWeekly.rda |only smqf-1.1-1/smqf/man/FamaFrenchMonthly.Rd |only smqf-1.1-1/smqf/man/FamaFrenchWeekly.Rd |only smqf-1.1-7/smqf/DESCRIPTION | 41 - smqf-1.1-7/smqf/MD5 | 118 +-- smqf-1.1-7/smqf/NAMESPACE | 22 smqf-1.1-7/smqf/NEWS.md | 320 ++++++++ smqf-1.1-7/smqf/R/DJ_const.R | 18 smqf-1.1-7/smqf/R/EURSTX_const.R | 24 smqf-1.1-7/smqf/R/FTSE_const.R | 19 smqf-1.1-7/smqf/R/FamaFrench.R |only smqf-1.1-7/smqf/R/Fred.R | 71 + smqf-1.1-7/smqf/R/FungHsieh.R | 93 +- smqf-1.1-7/smqf/R/GoyalWelch.R | 76 + smqf-1.1-7/smqf/R/SP500_const.R |only smqf-1.1-7/smqf/R/TermStructure.R | 47 - smqf-1.1-7/smqf/R/clayton-copula.R | 38 smqf-1.1-7/smqf/R/display-copula.R | 34 smqf-1.1-7/smqf/R/efficient-frontier.R | 339 ++++++-- smqf-1.1-7/smqf/R/extdata.R |only smqf-1.1-7/smqf/R/gumbel-copula.R | 16 smqf-1.1-7/smqf/R/mdp.R |only smqf-1.1-7/smqf/R/mvsk-portfolios.R |only smqf-1.1-7/smqf/R/normal-copula.R | 59 + smqf-1.1-7/smqf/R/portfolio-moments.R | 18 smqf-1.1-7/smqf/R/ptf-max-u.R | 37 smqf-1.1-7/smqf/R/smqf-package.R | 26 smqf-1.1-7/smqf/R/student-copula.R | 63 + smqf-1.1-7/smqf/R/tail-dependence.R | 37 smqf-1.1-7/smqf/README.md | 29 smqf-1.1-7/smqf/data/FamaFrench.rda |only smqf-1.1-7/smqf/data/Fred.rda |binary smqf-1.1-7/smqf/data/FungHsieh.rda |binary smqf-1.1-7/smqf/data/GoyalWelch.rda |binary smqf-1.1-7/smqf/data/SP500_const.rda |only smqf-1.1-7/smqf/data/TermStructure.rda |binary smqf-1.1-7/smqf/inst/CITATION | 8 smqf-1.1-7/smqf/man/DJ_const.Rd | 20 smqf-1.1-7/smqf/man/EURSTX_const.Rd | 26 smqf-1.1-7/smqf/man/FTSE_const.Rd | 21 smqf-1.1-7/smqf/man/FamaFrench.Rd |only smqf-1.1-7/smqf/man/Fred.Rd | 72 + smqf-1.1-7/smqf/man/FungHsieh.Rd | 95 +- smqf-1.1-7/smqf/man/GoyalWelch.Rd | 80 +- smqf-1.1-7/smqf/man/SP500_const.Rd |only smqf-1.1-7/smqf/man/TermStructure.Rd | 45 - smqf-1.1-7/smqf/man/extdata.Rd |only smqf-1.1-7/smqf/man/f_clayton_copula_2d_pdf.Rd | 8 smqf-1.1-7/smqf/man/f_display_copula.Rd | 9 smqf-1.1-7/smqf/man/f_efficient_frontier.Rd | 78 +- smqf-1.1-7/smqf/man/f_gumbel_copula_2d_pdf.Rd | 6 smqf-1.1-7/smqf/man/f_mdp.Rd |only smqf-1.1-7/smqf/man/f_mvsk_portfolio.Rd |only smqf-1.1-7/smqf/man/f_normal_copula_pdf.Rd | 17 smqf-1.1-7/smqf/man/f_portfolio_moments.Rd | 3 smqf-1.1-7/smqf/man/f_ptf_max_U.Rd | 8 smqf-1.1-7/smqf/man/f_student_copula_pdf.Rd | 17 smqf-1.1-7/smqf/man/f_tail_dependence.Rd | 9 smqf-1.1-7/smqf/man/smqf.Rd | 28 smqf-1.1-7/smqf/tests/testthat/test-copula-reference.R |only smqf-1.1-7/smqf/tests/testthat/test-datasets.R | 579 +++++++++++++-- smqf-1.1-7/smqf/tests/testthat/test-efficient-frontier.R | 304 ++++++- smqf-1.1-7/smqf/tests/testthat/test-mdp.R |only smqf-1.1-7/smqf/tests/testthat/test-mvsk-portfolio.R |only smqf-1.1-7/smqf/tests/testthat/test-normal-copula.R | 29 smqf-1.1-7/smqf/tests/testthat/test-portfolio-moments.R |only smqf-1.1-7/smqf/tests/testthat/test-student-copula.R | 67 + smqf-1.1-7/smqf/tests/testthat/test-tail-dependence.R | 11 71 files changed, 2503 insertions(+), 582 deletions(-)
Title: Decision-Theoretic Causal Diagnostics via Experiment Deficiency
Description: Implements a deficiency-theoretic framework for causal inference,
grounded in the classical theory of statistical experiment comparison,
as described in Akdemir (2026) <doi:10.5281/zenodo.21877511>. Provides
theorem-backed bounds together with computable proxy diagnostics for
information loss from confounding, selection bias, and distributional
shift. Supports continuous, binary, count, survival, and competing risks
outcomes. Key features include propensity-score total-variation deficiency
proxies, negative control diagnostics, policy regret bounds, and
sensitivity analysis via confounding frontiers.
Author: Deniz Akdemir [aut, cre]
Maintainer: Deniz Akdemir <deniz.akdemir.work@gmail.com>
Diff between causaldef versions 0.2.0 dated 2026-03-31 and 0.2.1 dated 2026-08-23
DESCRIPTION | 13 MD5 | 133 ++-- NEWS.md | 28 R/aaa-classes.R | 2 R/api.R | 6 R/causaldef-package.R | 8 R/competing_risks.R | 2 R/confounding_frontier.R | 121 ++-- R/data_auditor.R | 2 R/deficiency.R | 6 R/frontdoor.R | 2 R/instrumental_variables.R | 2 R/negative_controls.R | 2 R/policy_bounds.R | 2 R/shiny_app.R | 2 R/theorem_bounds.R | 6 README.md | 231 ++------ build/vignette.rds |binary inst/CITATION | 6 inst/doc/advanced_analysis.Rmd | 38 - inst/doc/advanced_analysis.html | 559 +++++++++++-------- inst/doc/causaldef_methodology.R | 46 - inst/doc/causaldef_methodology.Rmd | 36 - inst/doc/causaldef_methodology.html | 676 +++++++++++++---------- inst/doc/classical_benchmarks.Rmd | 2 inst/doc/classical_benchmarks.html | 482 +++++++++-------- inst/doc/complete_workflow.R | 263 ++++----- inst/doc/complete_workflow.Rmd | 115 ++-- inst/doc/complete_workflow.html | 990 ++++++++++++++++++++--------------- inst/doc/data_auditing.html | 582 +++++++++++--------- inst/doc/introduction.R | 1 inst/doc/introduction.Rmd | 21 inst/doc/introduction.html | 577 +++++++++++--------- inst/doc/negative_controls.R | 1 inst/doc/negative_controls.Rmd | 10 inst/doc/negative_controls.html | 476 +++++++++------- inst/doc/policy_and_transport.html | 515 ++++++++++-------- inst/doc/policy_learning.R | 16 inst/doc/policy_learning.Rmd | 34 - inst/doc/policy_learning.html | 655 ++++++++++++----------- inst/doc/sensitivity_analysis.Rmd | 4 inst/doc/sensitivity_analysis.html | 595 +++++++++++---------- inst/doc/survival_analysis.R | 234 ++++---- inst/doc/survival_analysis.Rmd | 335 ++++------- inst/doc/survival_analysis.html | 680 ++++++++++++------------ man/audit_data.Rd | 2 man/causaldef-package.Rd | 8 man/confounding_frontier.Rd | 19 man/dot-deficiency_gaussian.Rd | 2 man/dot-tv_distance_normal.Rd |only man/estimate_deficiency.Rd | 6 man/estimate_deficiency_competing.Rd | 2 man/figures/README-regret-1.png |binary man/frontdoor_effect.Rd | 2 man/iv_effect.Rd | 2 man/nc_diagnostic.Rd | 2 man/policy_regret_bound.Rd | 2 man/policy_regret_bound_vc.Rd | 2 man/rkhs_rate_bound.Rd | 2 vignettes/advanced_analysis.Rmd | 38 - vignettes/causaldef_methodology.Rmd | 36 - vignettes/classical_benchmarks.Rmd | 2 vignettes/complete_workflow.Rmd | 115 ++-- vignettes/introduction.Rmd | 21 vignettes/negative_controls.Rmd | 10 vignettes/policy_learning.Rmd | 34 - vignettes/sensitivity_analysis.Rmd | 4 vignettes/survival_analysis.Rmd | 335 ++++------- 68 files changed, 4912 insertions(+), 4251 deletions(-)
Title: Automatic Toolkit for Construction, Optimization, Scoring and
Simulation 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, also called as item pairing, is thus critical
to the quality of an FC test. Becau [...truncated...]
Author: Mengtong Li [cre, aut] ,
Tianjun Sun [aut] ,
Bo Zhang [aut]
Maintainer: Mengtong Li <mt_li@fudan.edu.cn>
Diff between autoFC versions 1.0.0.1002 dated 2026-07-14 and 1.0.0.1100 dated 2026-08-23
DESCRIPTION | 8 MD5 | 61 +++- NAMESPACE | 45 ++- NEWS.md | 10 R/build_pairwise_names.R |only R/convert_maxdiff_to_pairwise.R |only R/convert_pick_to_pairwise.R |only R/generate_cfc_mplus_syntax.R |only R/generate_gfc_lavaan_syntax.R |only R/generate_gfc_mplus_syntax.R |only R/generate_tirt_mplus_syntax.R | 543 ++++++++++++++++++------------------- R/generate_tirt_stan_syntax.R | 44 -- R/predict_cfc_stan.R |only R/predict_gfc_stan.R |only R/prepare_cfc_stan_data.R |only R/prepare_gfc_stan_data.R |only R/prepare_tirt_stan_data.R | 75 +---- R/score_cfc_lavaan.R | 11 R/score_cfc_mplus.R |only R/score_cfc_stan.R |only R/score_gfc_lavaan.R |only R/score_gfc_mplus.R |only R/score_gfc_stan.R |only R/simulate_fc_data.R | 167 +++++++---- README.md | 26 + inst/CITATION |only inst/doc/intro-to-autoFC.html | 4 inst/stan/cfc_model.stan |only inst/stan/gfc_model.stan |only man/build_pairwise_names.Rd |only man/convert_maxdiff_to_pairwise.Rd |only man/convert_pick_to_pairwise.Rd |only man/generate_cfc_mplus_syntax.Rd |only man/generate_gfc_lavaan_syntax.Rd |only man/generate_gfc_mplus_syntax.Rd |only man/generate_tirt_mplus_syntax.Rd | 4 man/generate_tirt_stan_syntax.Rd | 8 man/predict_cfc_stan.Rd |only man/predict_gfc_stan.Rd |only man/prepare_cfc_stan_data.Rd |only man/prepare_gfc_stan_data.Rd |only man/prepare_tirt_stan_data.Rd | 6 man/score_cfc_mplus.Rd |only man/score_cfc_stan.Rd |only man/score_gfc_lavaan.Rd |only man/score_gfc_mplus.Rd |only man/score_gfc_stan.Rd |only man/simulate_fc_data.Rd | 53 ++- 48 files changed, 562 insertions(+), 503 deletions(-)
Title: Forecastable Component Analysis
Description: Implementation of Forecastable Component Analysis ('ForeCA'),
including main algorithms and auxiliary function (summary, plotting, etc.) to
apply 'ForeCA' to multivariate time series data. 'ForeCA' is a novel dimension
reduction (DR) technique for temporally dependent signals. Contrary to other
popular DR methods, such as 'PCA' or 'ICA', 'ForeCA' takes time dependency
explicitly into account and searches for the most ''forecastable'' signal.
The measure of forecastability is based on the Shannon entropy of the spectral
density of the transformed signal.
Author: Georg M. Goerg [aut, cre]
Maintainer: Georg M. Goerg <im@gmge.org>
Diff between ForeCA versions 0.2.7 dated 2020-06-29 and 0.2.8-1 dated 2026-08-23
DESCRIPTION | 17 - MD5 | 53 ++- NAMESPACE | 1 NEWS.md | 38 ++ R/ForeCA-package.R | 10 R/Omega.R | 2 R/common-arguments.R | 3 R/complete_controls.R | 12 R/discrete_entropy.R | 2 R/foreca.R | 4 R/initialize_weightvector.R | 4 R/whiten.R | 4 README.md | 70 +++-- build/vignette.rds |binary inst/CITATION | 10 inst/doc/Introduction.R | 2 inst/doc/Introduction.Rmd | 2 inst/doc/Introduction.html | 548 ++++++++++++++--------------------------- man/ForeCA-package.Rd | 15 - man/Omega.Rd | 2 man/common-arguments.Rd | 1 man/complete-controls.Rd | 11 man/discrete_entropy.Rd | 2 man/foreca.Rd | 4 man/initialize_weightvector.Rd | 2 man/whiten.Rd | 4 tests/testthat/Rplots.pdf |only vignettes/Introduction.Rmd | 2 28 files changed, 376 insertions(+), 449 deletions(-)
Title: Matrix Exponential, Log, 'etc'
Description: Computation of the matrix exponential, logarithm, sqrt,
and related quantities, using traditional and modern methods.
Author: Martin Maechler [aut, cre] ,
Christophe Dutang [aut] ,
Vincent Goulet [aut] ,
Douglas Bates [ctb] ,
David Firth [ctb] ),
Marina Shapira [ctb] ),
Michael Stadelmann [ctb]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>
Diff between expm versions 1.0-0 dated 2024-08-19 and 1.0-1 dated 2026-08-23
ChangeLog | 14 ++++++++++++++ DESCRIPTION | 17 ++++++++++------- MD5 | 24 ++++++++++++------------ build/partial.rdb |binary build/vignette.rds |binary inst/doc/expm.R | 4 +--- inst/doc/expm.Rnw | 9 +++++---- inst/doc/expm.pdf |binary man/expm.Higham08.Rd | 5 ++--- man/expm.Rd | 4 ++-- tests/exact-ex.R | 6 ++++-- vignettes/expm.Rnw | 9 +++++---- vignettes/expm.bib | 6 +++--- 13 files changed, 58 insertions(+), 40 deletions(-)
Title: Interior Point Conic Optimization Solver
Description: A versatile interior point solver that solves linear programs (LPs), quadratic programs (QPs), second-order cone programs (SOCPs), semidefinite programs (SDPs), and problems with exponential and power cone constraints (<https://clarabel.org/stable/>). For quadratic objectives, unlike interior point solvers based on the standard homogeneous self-dual embedding (HSDE) model, Clarabel handles quadratic objective without requiring any epigraphical reformulation of its objective function. It can therefore be significantly faster than other HSDE-based solvers for problems with quadratic objective functions. Infeasible problems are detected using using a homogeneous embedding technique.
Author: Balasubramanian Narasimhan [aut, cre],
Paul Goulart [aut, cph],
Yuwen Chen [aut],
Hiroaki Yutani [ctb] ,
David Zimmermann-Kollenda [ctb] ,
The authors of the dependency Rust crates [ctb]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>
Diff between clarabel versions 0.11.2 dated 2026-03-01 and 0.11.3 dated 2026-08-23
DESCRIPTION | 8 MD5 | 60 ++--- NEWS.md | 34 +++ R/000-wrappers.R | 8 R/clarabel.R | 65 +++-- build/vignette.rds |binary inst/doc/clarabel.R | 34 +++ inst/doc/clarabel.Rmd | 155 +++++++++++++ inst/doc/clarabel.html | 335 +++++++++++++++++++++++++----- inst/tinytest/test_api_dimension.R | 5 inst/tinytest/test_basic_eq_constrained.R | 4 inst/tinytest/test_basic_expcone.R | 4 inst/tinytest/test_basic_genpowcone.R | 4 inst/tinytest/test_basic_powcone.R | 4 inst/tinytest/test_basic_psd.R | 5 inst/tinytest/test_basic_socp.R | 3 inst/tinytest/test_basic_unconstrained.R | 4 inst/tinytest/test_control_defaults.R |only inst/tinytest/test_empty_conespec.R | 4 inst/tinytest/test_mixed_conic.R | 5 inst/tinytest/test_presolve.R | 5 inst/tinytest/test_sdp_chordal.R | 4 man/ClarabelSolver.Rd | 5 man/clarabel_control.Rd | 44 ++- man/clarabel_solver.Rd | 13 - man/solver_is_update_allowed.Rd | 8 src/Makevars.win | 2 src/init.c | 6 src/rust/api.h | 1 src/rust/src/lib.rs | 94 ++++++++ tools/rustarch.R |only vignettes/clarabel.Rmd | 155 +++++++++++++ 32 files changed, 883 insertions(+), 195 deletions(-)