Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-04-19 2.4.2
2021-03-08 2.4.1
2020-05-26 2.4.0
2019-11-18 2.3.1
2018-09-19 2.0.2
2018-07-20 2.0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-10-12 0.4.4
2022-11-28 0.4.3
2021-11-04 0.4.2
2021-10-28 0.4.1
2021-10-26 0.4.0
2020-01-18 0.3.2
2019-09-04 0.3.1
2019-06-21 0.3.0
2014-09-29 0.2
2012-03-01 0.1-4
2011-06-25 0.1-3
2011-05-17 0.1-2
2010-09-25 0.1-1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-06-07 0.7
2023-01-29 0.6.2
2022-05-31 0.6.0
2020-07-03 0.5.7
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-03-17 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2026-06-30 1.0.0
Title: Extract Trends from Time Series
Description: Provides a unified interface to extract trends, cycles, and
seasonal components from monthly and quarterly time series using
established econometric filters and smoothing methods, with
frequency-aware defaults for common economic frequencies.
Author: Vinicius Oike [aut, cre, cph]
Maintainer: Vinicius Oike <viniciusoike@gmail.com>
Diff between trendseries versions 1.2.0 dated 2026-05-02 and 1.4.0 dated 2026-07-13
trendseries-1.2.0/trendseries/data/series_metadata.rda |only trendseries-1.2.0/trendseries/man/figures/README-unnamed-chunk-3-1.png |only trendseries-1.2.0/trendseries/man/figures/README-unnamed-chunk-3-1.svg |only trendseries-1.2.0/trendseries/man/figures/README-unnamed-chunk-5-1.svg |only trendseries-1.2.0/trendseries/man/figures/index_example.png |only trendseries-1.2.0/trendseries/man/list_datasets.Rd |only trendseries-1.2.0/trendseries/man/series_metadata.Rd |only trendseries-1.4.0/trendseries/DESCRIPTION | 32 trendseries-1.4.0/trendseries/MD5 | 123 +- trendseries-1.4.0/trendseries/NAMESPACE | 15 trendseries-1.4.0/trendseries/NEWS.md | 100 + trendseries-1.4.0/trendseries/R/augment_trends.R | 63 - trendseries-1.4.0/trendseries/R/data.R | 36 trendseries-1.4.0/trendseries/R/decompose_series.R |only trendseries-1.4.0/trendseries/R/deseason_series.R |only trendseries-1.4.0/trendseries/R/detrend_series.R |only trendseries-1.4.0/trendseries/R/extract_trends.R | 103 -- trendseries-1.4.0/trendseries/R/filters_econometric.R | 90 + trendseries-1.4.0/trendseries/R/filters_ma.R | 105 +- trendseries-1.4.0/trendseries/R/method_registry.R |only trendseries-1.4.0/trendseries/R/utils.R | 223 +--- trendseries-1.4.0/trendseries/README.md | 168 +-- trendseries-1.4.0/trendseries/build/vignette.rds |binary trendseries-1.4.0/trendseries/data/coffee_arabica.rda |binary trendseries-1.4.0/trendseries/data/coffee_robusta.rda |binary trendseries-1.4.0/trendseries/data/electric.rda |binary trendseries-1.4.0/trendseries/data/electricity.rda |only trendseries-1.4.0/trendseries/data/gdp_construction.rda |binary trendseries-1.4.0/trendseries/data/ibcbr.rda |binary trendseries-1.4.0/trendseries/data/metadata_series.rda |only trendseries-1.4.0/trendseries/data/oil_derivatives.rda |binary trendseries-1.4.0/trendseries/data/retail_autofuel.rda |binary trendseries-1.4.0/trendseries/data/retail_volume.rda |binary trendseries-1.4.0/trendseries/data/transit_london_avgs.rda |binary trendseries-1.4.0/trendseries/data/transit_london_monthly.rda |binary trendseries-1.4.0/trendseries/data/vehicles.rda |binary trendseries-1.4.0/trendseries/inst/doc/augment-trends.R |only trendseries-1.4.0/trendseries/inst/doc/augment-trends.Rmd |only trendseries-1.4.0/trendseries/inst/doc/augment-trends.html |only trendseries-1.4.0/trendseries/inst/doc/decompose-series.R |only trendseries-1.4.0/trendseries/inst/doc/decompose-series.Rmd |only trendseries-1.4.0/trendseries/inst/doc/decompose-series.html |only trendseries-1.4.0/trendseries/inst/doc/detrend-series.R |only trendseries-1.4.0/trendseries/inst/doc/detrend-series.Rmd |only trendseries-1.4.0/trendseries/inst/doc/detrend-series.html |only trendseries-1.4.0/trendseries/inst/doc/econometric-filters.R |only trendseries-1.4.0/trendseries/inst/doc/econometric-filters.Rmd |only trendseries-1.4.0/trendseries/inst/doc/econometric-filters.html |only trendseries-1.4.0/trendseries/inst/doc/methods.R |only trendseries-1.4.0/trendseries/inst/doc/methods.Rmd |only trendseries-1.4.0/trendseries/inst/doc/methods.html |only trendseries-1.4.0/trendseries/inst/doc/moving-averages.R | 57 - trendseries-1.4.0/trendseries/inst/doc/moving-averages.Rmd | 68 - trendseries-1.4.0/trendseries/inst/doc/moving-averages.html | 357 +++--- trendseries-1.4.0/trendseries/inst/doc/trendseries.R | 226 ---- trendseries-1.4.0/trendseries/inst/doc/trendseries.Rmd | 393 +------ trendseries-1.4.0/trendseries/inst/doc/trendseries.html | 486 +++------ trendseries-1.4.0/trendseries/man/augment_trends.Rd | 13 trendseries-1.4.0/trendseries/man/coffee_arabica.Rd | 2 trendseries-1.4.0/trendseries/man/coffee_robusta.Rd | 2 trendseries-1.4.0/trendseries/man/decompose_series.Rd |only trendseries-1.4.0/trendseries/man/deseason_series.Rd |only trendseries-1.4.0/trendseries/man/detrend_series.Rd |only trendseries-1.4.0/trendseries/man/electricity.Rd |only trendseries-1.4.0/trendseries/man/extract_trends.Rd | 17 trendseries-1.4.0/trendseries/man/figures/README-unnamed-chunk-4-1.svg | 515 ++-------- trendseries-1.4.0/trendseries/man/figures/example_trendseries.png |only trendseries-1.4.0/trendseries/man/metadata_series.Rd |only trendseries-1.4.0/trendseries/tests/testthat/test-augment_trends.R | 28 trendseries-1.4.0/trendseries/tests/testthat/test-decompose_series.R |only trendseries-1.4.0/trendseries/tests/testthat/test-deseason_series.R |only trendseries-1.4.0/trendseries/tests/testthat/test-detrend_series.R |only trendseries-1.4.0/trendseries/tests/testthat/test-edge-cases.R | 26 trendseries-1.4.0/trendseries/tests/testthat/test-extract_trends.R | 7 trendseries-1.4.0/trendseries/tests/testthat/test-filters-econometric.R | 21 trendseries-1.4.0/trendseries/tests/testthat/test-method_registry.R |only trendseries-1.4.0/trendseries/tests/testthat/test-params-stl.R | 4 trendseries-1.4.0/trendseries/vignettes/augment-trends.Rmd |only trendseries-1.4.0/trendseries/vignettes/decompose-series.Rmd |only trendseries-1.4.0/trendseries/vignettes/detrend-series.Rmd |only trendseries-1.4.0/trendseries/vignettes/econometric-filters.Rmd |only trendseries-1.4.0/trendseries/vignettes/methods.Rmd |only trendseries-1.4.0/trendseries/vignettes/moving-averages.Rmd | 68 - trendseries-1.4.0/trendseries/vignettes/trendseries.Rmd | 393 +------ 84 files changed, 1516 insertions(+), 2225 deletions(-)
Title: Graph/Network Analysis Based on L1 Centrality
Description: Analyze graph/network data using L1 centrality and prestige. Functions for deriving global, local, and group L1 centrality/prestige are provided. Routines for visual inspection of a graph/network are also provided. Details are in Kang and Oh (2026a) <doi:10.1080/01621459.2025.2520467>, Kang and Oh (2026b) <doi:10.1080/00031305.2025.2563730>, and Kang (2025) <doi:10.23170/snu.000000188358.11032.0001856>.
Author: Seungwoo Kang [aut, cre] ,
Hee-Seok Oh [aut]
Maintainer: Seungwoo Kang <kangsw@skku.edu>
Diff between L1centrality versions 0.5.1 dated 2026-05-04 and 0.5.2 dated 2026-07-13
DESCRIPTION | 8 ++++---- MD5 | 12 ++++++------ NEWS.md | 6 ++++++ R/L1centEDGE.R | 2 +- R/L1centGROUP.R | 2 +- R/L1centLOC.R | 2 +- man/L1centrality-package.Rd | 1 + 7 files changed, 20 insertions(+), 13 deletions(-)
Title: Learning R with Dr. Hu
Description: Provides interactive workshops for learning R easily and happily.
Each workshop is a self-contained 'Quarto' Live document whose code cells run
in the browser via 'WebAssembly', so learners can read the instructions and
run the exercises side by side without a local R setup. The materials
accompany the "Learning R with Dr. Hu" workshop series.
Author: Yue Hu [aut, cre],
Qian Qiu [ctb, trl],
Xinyi Ye [ctb, trl],
Yufei Sun [ctb]
Maintainer: Yue Hu <yuehu@tsinghua.edu.cn>
Diff between drhur versions 2.0.0 dated 2026-05-30 and 2.0.1 dated 2026-07-13
DESCRIPTION | 6 MD5 | 32 +-- NEWS.md | 14 + inst/quarto_live/_quarto.yml | 2 inst/quarto_live/algebra_live.qmd | 116 ++++++++++-- inst/quarto_live/algebra_live_en.qmd | 133 ++++++++++++-- inst/quarto_live/descriptive_live.qmd | 139 +++++++++++++-- inst/quarto_live/descriptive_live_en.qmd | 137 +++++++++++++-- inst/quarto_live/loop_live.qmd | 271 +++++++++++++++++++++++++++--- inst/quarto_live/loop_live_en.qmd | 269 +++++++++++++++++++++++++++-- inst/quarto_live/munging_live.qmd | 140 +++++++++++++-- inst/quarto_live/munging_live_en.qmd | 138 +++++++++++++-- inst/quarto_live/play_live.qmd | 176 ++++++++++++++++--- inst/quarto_live/play_live_en.qmd | 176 ++++++++++++++++--- inst/quarto_live/theme/goldenBlack.scss | 29 ++- inst/quarto_live/visual_basic_live.qmd | 116 +++++++++++- inst/quarto_live/visual_basic_live_en.qmd | 114 +++++++++++- 17 files changed, 1759 insertions(+), 249 deletions(-)
Title: Repel Visually Similar Colors for Colorblind Users in Various
Plots
Description: Iterate and repel visually similar colors away in various 'ggplot2' plots. When many groups are plotted at the same time on multiple axes, for instance stacked bars or scatter plots, effectively ordering colors becomes difficult. This tool iterates through color combinations to find the best solution to maximize visual distinctness of nearby groups, so plots are more friendly toward colorblind users. This is achieved by two distance measurements, distance between groups within the plot, and CIELAB color space distances between colors as described in Carter et al., (2018) <doi:10.25039/TR.015.2018>.
Author: Rui Fu [cre, aut, cph]
Maintainer: Rui Fu <raysinensis@gmail.com>
Diff between colorrepel versions 0.4.3 dated 2025-07-21 and 0.5.0 dated 2026-07-13
DESCRIPTION | 6 +++--- MD5 | 10 ++++++---- NAMESPACE | 5 +++++ NEWS.md | 3 +++ R/for_ggplot.R |only README.md | 1 + man/scale_color_repel.Rd |only 7 files changed, 18 insertions(+), 7 deletions(-)
Title: Discrete Choice Models for Economic Applications
Description: Fast estimation of discrete-choice models for applied economics.
Frequentist likelihoods, analytical gradients, and Hessians are implemented
in C++ with 'OpenMP' parallelism, scaling efficiently to specifications with
many alternative-specific constants. Compiled Gibbs samplers provide Bayesian
multinomial probit and hierarchical models. Post-estimation routines cover
predicted shares, own- and cross-price elasticities, diversion ratios,
willingness to pay, and welfare counterfactuals. Supports multinomial logit
('MNL'), mixed logit ('MXL'), nested logit ('NL'), Bayesian multinomial probit
('MNP'), and hierarchical Bayesian multinomial logit and probit ('HMNL',
'HMNP').
Author: Fernando Cordeiro [aut, cre, cph]
Maintainer: Fernando Cordeiro <fernandolpcordeiro@gmail.com>
Diff between choicer versions 0.1.0 dated 2026-05-20 and 0.2.0 dated 2026-07-13
.aspell |only DESCRIPTION | 31 MD5 | 274 ++- NAMESPACE | 83 - NEWS.md | 272 +++ R/RcppExports.R | 909 ++++++++++- R/choicer-package.R | 6 R/classes.R | 681 +++++++- R/data.R |only R/gof.R |only R/hb_data.R |only R/hb_diagnostics.R |only R/hb_postest.R |only R/hmnlogit_utils.R |only R/hmnprobit_utils.R |only R/methods.R | 1126 ++++++++++++- R/mnlogit_utils.R | 301 +++ R/mnprobit_utils.R |only R/mxlogit_utils.R | 407 ++++ R/nestlogit_utils.R | 211 ++ R/predict_newdata.R |only R/recovery.R | 113 + R/sampling.R |only R/simulation.R | 391 ++++ R/surplus.R |only R/utils.R | 99 + R/wtp.R |only README.md | 194 ++ build/vignette.rds |only data |only inst/doc |only inst/simulations/hmnl_simulation.R |only inst/simulations/hmnp_simulation.R |only inst/simulations/mnl_simulation.R | 49 inst/simulations/mnp_simulation.R |only inst/simulations/mxl_simulation.R | 71 inst/simulations/nl_simulation.R | 46 man/blp.choicer_nl.Rd |only man/build_var_mat.Rd | 3 man/choicer-package.Rd | 3 man/coef.choicer_hb.Rd |only man/coef.choicer_mnp.Rd |only man/consumer_surplus.Rd |only man/diversion_ratios.Rd | 24 man/diversion_ratios.choicer_nl.Rd |only man/elasticities.Rd | 25 man/elasticities.choicer_nl.Rd |only man/ess.Rd |only man/gof.Rd |only man/hmnl_gibbs.Rd |only man/hmnp_gibbs.Rd |only man/jacobian_vech_Sigma.Rd | 3 man/logsum.Rd |only man/mcse.Rd |only man/mnl_bhhh_parallel.Rd |only man/mnl_diversion_ratios_parallel.Rd | 3 man/mnl_elasticities_parallel.Rd | 3 man/mnl_loglik_gradient_parallel.Rd | 3 man/mnl_loglik_hessian_parallel.Rd | 3 man/mnl_predict.Rd | 3 man/mnl_predict_shares.Rd | 3 man/mnp_gibbs.Rd |only man/mode_choice.Rd |only man/mxl_bhhh_parallel.Rd | 17 man/mxl_blp_contraction.Rd | 14 man/mxl_diversion_ratios_parallel.Rd | 15 man/mxl_elasticities_parallel.Rd | 17 man/mxl_hessian_parallel.Rd | 17 man/mxl_loglik_gradient_parallel.Rd | 17 man/mxl_logsum.Rd |only man/mxl_predict.Rd | 15 man/mxl_predict_shares.Rd | 15 man/new_choicer_sim.Rd | 3 man/nl_bhhh_parallel.Rd |only man/nl_blp_contraction.Rd |only man/nl_diversion_ratios_parallel.Rd |only man/nl_elasticities_parallel.Rd |only man/nl_loglik_gradient_parallel.Rd | 3 man/nl_loglik_hessian_parallel.Rd |only man/nl_loglik_numeric_hessian.Rd | 3 man/nl_predict.Rd |only man/nl_predict_shares.Rd |only man/nobs.choicer_hb.Rd |only man/nobs.choicer_mnp.Rd |only man/ppc_shares.Rd |only man/predict.choicer_hb.Rd |only man/predict.choicer_mnl.Rd | 39 man/predict.choicer_mxl.Rd | 40 man/predict.choicer_nl.Rd |only man/prepare_hmnl_data.Rd |only man/prepare_hmnp_data.Rd |only man/prepare_mnl_data.Rd | 21 man/prepare_mnp_data.Rd |only man/prepare_mxl_data.Rd | 17 man/prepare_nl_data.Rd | 21 man/print.choicer_cs.Rd |only man/print.choicer_gof.Rd |only man/print.choicer_hb.Rd |only man/print.choicer_mnp.Rd |only man/print.choicer_wtp.Rd |only man/print.summary.choicer_hb.Rd |only man/print.summary.choicer_mnp.Rd |only man/recovery_table.Rd | 26 man/rhat.Rd |only man/run_hmnlogit.Rd |only man/run_hmnprobit.Rd |only man/run_mnlogit.Rd | 37 man/run_mnprobit.Rd |only man/run_mxlogit.Rd | 79 man/run_nestlogit.Rd | 29 man/sample_by_choice.Rd |only man/set_num_threads.Rd |only man/simulate_hmnl_data.Rd |only man/simulate_hmnp_data.Rd |only man/simulate_mnp_data.Rd |only man/summary.choicer_hb.Rd |only man/summary.choicer_mnl.Rd | 11 man/summary.choicer_mnp.Rd |only man/summary.choicer_mxl.Rd | 10 man/summary.choicer_nl.Rd | 10 man/thread_info.Rd |only man/traceplot.Rd |only man/traceplot.choicer_hb.Rd |only man/vcov.choicer_fit.Rd | 58 man/vcov.choicer_hb.Rd |only man/vcov.choicer_mnp.Rd |only man/wesml_vcov.Rd |only man/wesml_weights.Rd |only man/wtp.Rd |only src/RcppExports.cpp | 641 +++++++ src/bayes_samplers.h |only src/choicer.h | 87 + src/choicer_internal.h |only src/halton.h |only src/halton_test_exports.cpp |only src/hb_internal.h |only src/hb_test_exports.cpp |only src/hmnlogit.cpp |only src/hmnprobit.cpp |only src/mnlogit.cpp | 803 ++++++--- src/mnprobit.cpp |only src/mxlogit.cpp | 2206 +++++++++++++++------------ src/nestlogit.cpp | 1906 +++++++++++++++++++++-- src/rng.h |only src/utils.cpp | 69 tests/testthat/setup.R | 40 tests/testthat/test-bayes-samplers.R |only tests/testthat/test-blp.R | 158 + tests/testthat/test-cluster-vcov.R |only tests/testthat/test-elasticities.R | 248 +++ tests/testthat/test-gof.R |only tests/testthat/test-halton-generator.R |only tests/testthat/test-hb-data-prep.R |only tests/testthat/test-hb-diagnostics-phase1.R |only tests/testthat/test-hb-internal.R |only tests/testthat/test-hb-postest.R |only tests/testthat/test-hessian.R | 202 ++ tests/testthat/test-hmnl-gibbs.R |only tests/testthat/test-hmnl-recovery.R |only tests/testthat/test-hmnp-gibbs.R |only tests/testthat/test-hmnp-recovery.R |only tests/testthat/test-mnl-scaling.R |only tests/testthat/test-mnp-data-prep.R |only tests/testthat/test-mnp-gibbs.R |only tests/testthat/test-mnp-recovery.R |only tests/testthat/test-mxl-generate-mode.R |only tests/testthat/test-mxl-hessian-o3.R |only tests/testthat/test-nl-hessian-equivalence.R |only tests/testthat/test-nl-hessian.R |only tests/testthat/test-post-estimation.R | 106 + tests/testthat/test-predict-newdata.R |only tests/testthat/test-predictions.R | 63 tests/testthat/test-recovery.R | 32 tests/testthat/test-sampling-wesml.R |only tests/testthat/test-simulation.R | 114 + tests/testthat/test-surplus.R |only tests/testthat/test-utilities.R | 44 tests/testthat/test-wtp.R |only vignettes |only 179 files changed, 10681 insertions(+), 1912 deletions(-)
Title: Useful Tools for Structural Equation Modeling
Description: Provides miscellaneous tools for structural equation modeling,
many of which extend the 'lavaan' package. For example, latent
interactions can be estimated using product indicators (Lin et al.,
2010, <doi:10.1080/10705511.2010.488999>) and simple effects probed;
analytical power analyses can be conducted (Jak et al., 2021,
<doi:10.3758/s13428-020-01479-0>); and scale reliability
can be estimated based on estimated factor-model parameters.
Author: Terrence D. Jorgensen [aut, cre] ,
Sunthud Pornprasertmanit [aut] ,
Alexander M. Schoemann [aut] ,
Yves Rosseel [aut] ,
Patrick Miller [ctb],
Corbin Quick [ctb],
Mauricio Garnier-Villarreal [ctb] ,
James Selig [ctb],
Aaron Boulton [ctb],
Kristopher P [...truncated...]
Maintainer: Terrence D. Jorgensen <TJorgensen314@gmail.com>
Diff between semTools versions 0.5-8 dated 2026-02-14 and 0.5-9 dated 2026-07-13
DESCRIPTION | 10 - MD5 | 68 ++++++------ NEWS.md | 16 ++ R/TSML.R | 8 - R/discriminantValidity.R | 5 R/measEq.R | 6 - R/miPowerFit.R | 228 ++++++++++++++++++++++++----------------- R/missingBootstrap.R | 5 R/parcelAllocation.R | 4 R/permuteMeasEq.R | 4 R/reliability.R | 24 ++-- build/partial.rdb |binary build/vignette.rds |binary inst/doc/partialInvariance.pdf |binary man/PAVranking.Rd | 2 man/bsBootMiss.Rd | 4 man/clipboard.Rd | 8 - man/compRelSEM.Rd | 7 - man/compareFit.Rd | 8 - man/dat2way.Rd | 2 man/dat3way.Rd | 2 man/datCat.Rd | 2 man/discriminantValidity.Rd | 11 - man/epcEquivCheck.Rd | 55 +++++---- man/epcEquivFit.Rd | 20 +++ man/exLong.Rd | 2 man/goricaSEM.Rd | 8 - man/mardiaKurtosis.Rd | 2 man/mardiaSkew.Rd | 2 man/measEq.syntax.Rd | 4 man/net.Rd | 2 man/parcelAllocation.Rd | 2 man/permuteMeasEq.Rd | 10 - man/simParcel.Rd | 2 man/twostage.Rd | 8 - 35 files changed, 312 insertions(+), 229 deletions(-)
Title: A Theorical-Practical Approach to Parasitological Data Analysis
Description: Standardizes and streamlines the processing of parasitological data by integrating descriptive analyses of parasite count distributions, automated calculation of parasitological indices and their dispersion measures, and intuitive visualizations for representing these metrics (Bush et al. 1997 <doi:10.2307/3284227>, Reiczigel et al. 2019 <doi:10.1016/j.pt.2019.01.003>).
Author: Exequiel Oscar Furlan [aut] ,
Juan Manuel Cabrera [aut, cre, cph] ,
Elisa Helman [aut]
Maintainer: Juan Manuel Cabrera <juan.cabrera@uner.edu.ar>
Diff between parasiteR versions 1.1 dated 2026-07-12 and 1.1.1 dated 2026-07-13
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- NEWS.md | 27 ++++++++++++++++++++------- R/para_abundance_CI.R | 2 +- R/para_intensity_CI.R | 2 +- R/para_plot_CI.R | 14 +++++++++----- 6 files changed, 39 insertions(+), 22 deletions(-)
Title: Non-Negative Matrix Factorization with Kernel Covariates
Description: Performs Non-negative Matrix Factorization (NMF)
with Kernel Covariates. Given an observation matrix and kernel
covariates, it optimizes both a basis matrix and a parameter matrix.
Notably, if the kernel matrix is an identity matrix, the method
simplifies to standard NMF. Also provides NMF with Random Effects
(NMF-RE) via nmfre(), which estimates a mixed-effects model combining
covariate-driven scores with unit-specific random effects together
with wild bootstrap inference, and NMF-based Structural Equation
Modeling (NMF-SEM) via nmf.sem(), which fits a two-block input-output
model for blind source separation and path analysis.
References: Satoh (2025) <doi:10.48550/arXiv.2403.05359>;
Satoh (2025) <doi:10.48550/arXiv.2510.10375>;
Satoh (2025) <doi:10.48550/arXiv.2512.18250>;
Satoh (2026) <doi:10.48550/arXiv.2603.01468>;
Satoh (2026) <doi:10.1007/s42081-025-00314-0>.
Author: Kenichi Satoh [aut, cre]
Maintainer: Kenichi Satoh <kenichi-satoh@biwako.shiga-u.ac.jp>
Diff between nmfkc versions 0.8.2 dated 2026-06-14 and 0.8.8 dated 2026-07-13
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nmfkc-0.8.8/nmfkc/man/nmfkc.Rd | 14 nmfkc-0.8.8/nmfkc/man/nmfkc.ard.Rd | 4 nmfkc-0.8.8/nmfkc/man/nmfkc.cv.Rd | 2 nmfkc-0.8.8/nmfkc/man/nmfkc.cv.methods.Rd |only nmfkc-0.8.8/nmfkc/man/nmfkc.inference.Rd | 153 - nmfkc-0.8.8/nmfkc/man/nmfkc.signed.Rd | 17 nmfkc-0.8.8/nmfkc/man/nmfre.Rd | 121 - nmfkc-0.8.8/nmfkc/man/nmfre.ecv.Rd |only nmfkc-0.8.8/nmfkc/man/plot.nmfae.Rd | 64 nmfkc-0.8.8/nmfkc/man/plot.nmfae.cv.Rd | 47 nmfkc-0.8.8/nmfkc/man/plot.nmfae.ecv.Rd | 49 nmfkc-0.8.8/nmfkc/man/plot.nmfae.kernel.beta.cv.Rd | 49 nmfkc-0.8.8/nmfkc/man/plot.nmfae.signed.Rd | 1 nmfkc-0.8.8/nmfkc/man/plot.nmfre.Rd | 2 nmfkc-0.8.8/nmfkc/man/plot.nmfre.ecv.Rd |only nmfkc-0.8.8/nmfkc/man/plot.predict.nmfae.Rd | 73 nmfkc-0.8.8/nmfkc/man/predict.nmfae.Rd | 107 nmfkc-0.8.8/nmfkc/man/predict.nmfae.signed.Rd | 1 nmfkc-0.8.8/nmfkc/man/predict.nmfre.Rd |only nmfkc-0.8.8/nmfkc/man/print.nmfre.ecv.Rd |only nmfkc-0.8.8/nmfkc/man/print.summary.nmfae.Rd | 66 nmfkc-0.8.8/nmfkc/man/print.summary.nmfae.inference.Rd | 64 nmfkc-0.8.8/nmfkc/man/print.summary.nmfae.signed.Rd | 1 nmfkc-0.8.8/nmfkc/man/print.summary.nmfae.signed.inference.Rd | 13 nmfkc-0.8.8/nmfkc/man/print.summary.nmfkc.inference.Rd | 63 nmfkc-0.8.8/nmfkc/man/print.summary.nmfkc.net.inference.Rd | 14 nmfkc-0.8.8/nmfkc/man/summary.nmfae.Rd | 83 nmfkc-0.8.8/nmfkc/man/summary.nmfae.inference.Rd | 47 nmfkc-0.8.8/nmfkc/man/summary.nmfae.signed.Rd | 1 nmfkc-0.8.8/nmfkc/man/summary.nmfae.signed.inference.Rd | 1 nmfkc-0.8.8/nmfkc/man/summary.nmfre.Rd | 73 nmfkc-0.8.8/nmfkc/tests/testthat/test-nmfae.R |only nmfkc-0.8.8/nmfkc/tests/testthat/test-nmfkc.R | 36 nmfkc-0.8.8/nmfkc/tests/testthat/test-nmfre.R |only nmfkc-0.8.8/nmfkc/vignettes/nmf-re-with-nmfkc.Rmd | 181 - 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Title: Statistical Methods for the Analysis of Excess Lifetimes
Description: A collection of parametric and nonparametric methods for the analysis of survival data, described in <doi:10.32614/RJ-2025-034>. Parametric families implemented include Gompertz-Makeham, exponential and generalized Pareto models and extended models. The package includes an implementation of the nonparametric maximum likelihood estimator for arbitrary truncation and censoring pattern based on Turnbull (1976) <doi:10.1111/j.2517-6161.1976.tb01597.x>, along with graphical goodness-of-fit diagnostics. Parametric models for positive random variables and peaks over threshold models based on extreme value theory are described in Rootzén and Zholud (2017) <doi:10.1007/s10687-017-0305-5>; Belzile et al. (2021) <doi:10.1098/rsos.202097> and Belzile et al. (2022) <doi:10.1146/annurev-statistics-040120-025426>.
Author: Leo Belzile [aut, cre] ,
Mitchell O'Hara-Wild [ctb]
Maintainer: Leo Belzile <belzilel@gmail.com>
Diff between longevity versions 1.3 dated 2026-02-03 and 1.3.1 dated 2026-07-13
DESCRIPTION | 10 ++--- MD5 | 19 ++++++--- NEWS.md | 11 +++++ R/datasets.R | 88 +++++++++++++++++++++++++------------------- build/partial.rdb |binary build/vignette.rds |binary data/englandwales.rda |only data/french.rda |only inst/CITATION |only inst/doc/introduction.html | 17 ++++---- inst/doc/nonparametric.html | 9 ++-- man/englandwales.Rd |only man/french.Rd |only 13 files changed, 89 insertions(+), 65 deletions(-)
Title: 'GGML' Tensor Operations for Machine Learning
Description: Provides 'R' bindings to the 'GGML' tensor library for machine
learning, optimized for 'Vulkan' GPU acceleration with a transparent CPU
fallback. The package features a 'Keras'-like sequential API and a
'PyTorch'-style 'autograd' engine for building, training, and deploying
neural networks. Key capabilities include high-performance 5D tensor
operations, 'f16' precision, and efficient quantization. It supports
native 'ONNX' model import (50+ operators) and 'GGUF' weight loading
from the 'llama.cpp' and 'Hugging Face' ecosystems. Designed for
zero-overhead inference via dedicated weight buffering, it integrates
seamlessly as a 'parsnip' engine for 'tidymodels' and provides
first-class learners for the 'mlr3' framework.
See <https://github.com/ggml-org/ggml> for more information about the
underlying library.
Author: Yuri Baramykov [aut, cre] ,
Georgi Gerganov [ctb, cph] ,
Jeffrey Quesnelle [ctb, cph] ,
Bowen Peng [ctb, cph] ,
Mozilla Foundation [ctb, cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>
Diff between ggmlR versions 0.7.8 dated 2026-06-04 and 0.8.1 dated 2026-07-13
DESCRIPTION | 13 MD5 | 249 ++++-- NAMESPACE | 57 + NEWS.md | 25 R/LearnerClassifGGML.R | 137 +++ R/LearnerRegrGGML.R | 122 +++ R/ag_device.R | 51 + R/ag_save.R |only R/diagnostics.R |only R/gpu_linalg.R |only R/mlr3_marshal.R | 88 +- R/nn_functional.R | 13 R/nn_model.R | 19 R/parsnip_broom.R |only R/parsnip_mlp.R | 91 +- R/sc_compat.R |only R/sc_contracts.R |only R/sc_dispatch.R |only R/sc_extract.R |only R/sc_inject.R |only R/sc_sce.R |only R/sc_seurat.R |only R/sc_umap.R |only R/seed.R |only R/tensor_parallel.R |only R/vulkan.R | 377 ++++++++++ README.md | 418 +++++++++++ build/vignette.rds |binary configure | 37 + configure.win | 190 +++++ inst/doc/autograd-engine.Rmd | 2 inst/doc/data-parallel-training.Rmd | 2 inst/doc/embedding-ggmlR.Rmd | 91 ++ inst/doc/embedding-ggmlR.html | 243 ++++-- inst/doc/gpu-vulkan.R | 1 inst/doc/gpu-vulkan.Rmd | 19 inst/doc/gpu-vulkan.html | 22 inst/doc/keras-like-api.Rmd | 2 inst/doc/mlr3-integration.R | 4 inst/doc/mlr3-integration.Rmd | 6 inst/doc/multi-gpu.R |only inst/doc/multi-gpu.Rmd |only inst/doc/multi-gpu.html |only inst/doc/onnx-import.Rmd | 2 inst/doc/quantization.Rmd | 2 inst/doc/quickstart.R |only inst/doc/quickstart.Rmd |only inst/doc/quickstart.html |only inst/doc/single-cell-seurat.R |only inst/doc/single-cell-seurat.Rmd |only inst/doc/single-cell-seurat.html |only inst/doc/tidymodels-integration.R | 21 inst/doc/tidymodels-integration.Rmd | 70 + inst/doc/tidymodels-integration.html | 70 + inst/examples/bench_matmul_f64.R |only inst/examples/bench_mulmat_p100.R |only inst/examples/check_fa_p100.R |only inst/examples/debug_gpu_minimal.R |only inst/examples/gpu_linalg.R |only inst/examples/pp_pipeline.R |only inst/examples/seurat_gpu_stress.R |only inst/examples/seurat_neighbors.R |only inst/examples/seurat_op2_gpu.R |only inst/examples/seurat_pca.R |only inst/examples/seurat_pca_large.R |only inst/examples/seurat_preprocess_gpu.R |only inst/examples/seurat_umap.R |only inst/examples/tp_dp_hybrid.R |only inst/examples/tp_p2p_backtrace.sh |only inst/examples/tp_p2p_diagnose.R |only inst/examples/umap_sgd_diag.R |only inst/examples/umap_shaders_bench.R |only inst/examples/vk_buffer_probe.R |only inst/examples/vk_buffer_probe_isolated.R |only inst/examples/vk_probe_split_allocfree.R |only inst/examples/vk_probe_split_errorfree.R |only man/RunGGML.Rd |only man/ag_load_model.Rd |only man/ag_save_model.Rd |only man/as.matrix.ggml_matrix.Rd |only man/as_gpu_matrix.Rd |only man/augment.ggmlr_parsnip_model.Rd |only man/dot-ggmlr_batch_shards.Rd |only man/dot-ggmlr_largest_gene.Rd |only man/dot-ggmlr_neighbors_gpu.Rd |only man/dot-ggmlr_normalize_gpu.Rd |only man/dot-ggmlr_pca_gpu.Rd |only man/dot-ggmlr_scale_gpu.Rd |only man/dot-ggmlr_umap_gpu.Rd |only man/ggml_crossprod.Rd |only man/ggml_evaluate.Rd | 1 man/ggml_extract.Rd |only man/ggml_fit.Rd | 1 man/ggml_inject.Rd |only man/ggml_matmul.Rd |only man/ggml_matmul_f64.Rd |only man/ggml_matrix-class.Rd |only man/ggml_model_backend.Rd |only man/ggml_ops_registry.Rd |only man/ggml_pp_dp_forward.Rd |only man/ggml_pp_forward.Rd |only man/ggml_result.Rd |only man/ggml_run.Rd |only man/ggml_set_seed.Rd |only man/ggml_task.Rd |only man/ggml_tcrossprod.Rd |only man/ggml_tp_dp_forward.Rd |only man/ggml_training_history.Rd |only man/ggml_vulkan_device_groups.Rd |only man/ggml_vulkan_hard_exit_available.Rd |only man/ggml_vulkan_p2p_selftest.Rd |only man/ggml_vulkan_shutdown.Rd |only man/ggml_vulkan_split_buffer_type.Rd |only man/ggml_vulkan_split_mul_mat.Rd |only man/ggml_vulkan_split_row_ranges.Rd |only man/ggml_vulkan_stage_handoff.Rd |only man/ggmlr_parsnip_fit_classif.Rd | 3 man/ggmlr_parsnip_fit_regr.Rd | 3 man/glance.ggmlr_parsnip_model.Rd |only man/tidy.ggmlr_parsnip_model.Rd |only src/Makevars.in | 3 src/Makevars.win.in | 54 + src/ggml-alloc.c | 5 src/ggml-backend-impl.h | 8 src/ggml-backend-meta.cpp | 40 - src/ggml-backend.cpp | 23 src/ggml-context.c | 5 src/ggml-graph.c | 12 src/ggml-vulkan.h | 108 ++ src/ggml-vulkan/ggml-vulkan-device.cpp | 303 ++++++++ src/ggml-vulkan/ggml-vulkan-elemwise.cpp | 8 src/ggml-vulkan/ggml-vulkan-graph.cpp | 356 +++++++++ src/ggml-vulkan/ggml-vulkan-misc.cpp | 24 src/ggml-vulkan/ggml-vulkan-shaders.cpp | 127 ++- src/ggml-vulkan/ggml-vulkan-sparse.cpp |only src/ggml-vulkan/ggml-vulkan-split.cpp |only src/ggml-vulkan/ggml-vulkan-umap.cpp |only src/ggml-vulkan/ggml-vulkan.cpp | 3 src/ggml-vulkan/vulkan-shaders/knn_tiled.comp |only src/ggml-vulkan/vulkan-shaders/matmul_f64.comp |only src/ggml-vulkan/vulkan-shaders/pairwise_dist.comp |only src/ggml-vulkan/vulkan-shaders/sparse_lognorm.comp |only src/ggml-vulkan/vulkan-shaders/umap_sgd.comp |only src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp | 19 src/r_dbg_filelog.h |only src/r_interface.c | 35 src/r_interface_graph.c | 56 + src/r_interface_vulkan.c | 664 +++++++++++++++++- src/r_umap_sgd.c |only tests/testthat.R | 15 tests/testthat/helper-device.R |only tests/testthat/test-ag-save.R |only tests/testthat/test-diagnostics.R |only tests/testthat/test-getrows-offload-vulkan.R | 41 - tests/testthat/test-gpu-linalg.R |only tests/testthat/test-mlr3-autograd.R |only tests/testthat/test-mlr3-learner.R | 2 tests/testthat/test-parsnip-broom.R |only tests/testthat/test-parsnip-tidymodels.R |only tests/testthat/test-parsnip.R | 104 ++ tests/testthat/test-sc-chunked.R |only tests/testthat/test-sc-knn-gpu.R |only tests/testthat/test-sc-largest-gene.R |only tests/testthat/test-sc-neighbors.R |only tests/testthat/test-sc-normalize-sparse.R |only tests/testthat/test-sc-sce.R |only tests/testthat/test-sc-seurat.R |only tests/testthat/test-sc-umap.R |only tests/testthat/test-seed.R |only tests/testthat/test-vulkan-caps.R | 5 tests/testthat/test-vulkan-tensor-parallel.R |only vignettes/autograd-engine.Rmd | 2 vignettes/data-parallel-training.Rmd | 2 vignettes/embedding-ggmlR.Rmd | 91 ++ vignettes/gpu-vulkan.Rmd | 19 vignettes/keras-like-api.Rmd | 2 vignettes/mlr3-integration.Rmd | 6 vignettes/multi-gpu.Rmd |only vignettes/onnx-import.Rmd | 2 vignettes/quantization.Rmd | 2 vignettes/quickstart.Rmd |only vignettes/single-cell-seurat.Rmd |only vignettes/tidymodels-integration.Rmd | 70 + 183 files changed, 4310 insertions(+), 358 deletions(-)
Title: Black Marble Data and Statistics
Description: Geographically referenced data and statistics of nighttime lights from NASA Black Marble <https://blackmarble.gsfc.nasa.gov/>.
Author: Robert Marty [aut, cre] ,
Gabriel Stefanini Vicente [aut]
Maintainer: Robert Marty <rmarty@worldbank.org>
Diff between blackmarbler versions 0.2.5 dated 2025-07-29 and 0.2.7 dated 2026-07-13
blackmarbler-0.2.5/blackmarbler/man/wget_h5_files.Rd |only blackmarbler-0.2.7/blackmarbler/DESCRIPTION | 8 blackmarbler-0.2.7/blackmarbler/MD5 | 12 blackmarbler-0.2.7/blackmarbler/NAMESPACE | 2 blackmarbler-0.2.7/blackmarbler/R/blackmarbler.R | 241 ++++++++++----- blackmarbler-0.2.7/blackmarbler/man/bm_extract.Rd | 9 blackmarbler-0.2.7/blackmarbler/man/bm_raster.Rd | 5 blackmarbler-0.2.7/blackmarbler/man/download_h5_files.Rd |only 8 files changed, 193 insertions(+), 84 deletions(-)
Title: Inspect, Read, Edit and Run 'APSIM' "Next Generation" and
'APSIM' Classic
Description: The functions in this package inspect, read, edit and run files for 'APSIM' "Next Generation" ('JSON')
and 'APSIM' "Classic" ('XML'). The files with an 'apsim' extension correspond to
'APSIM' Classic (7.x) - Windows only - and the ones with an 'apsimx' extension correspond to 'APSIM' "Next Generation".
For more information about 'APSIM' see (<https://www.apsim.info/>) and for 'APSIM'
next generation (<https://apsimnextgeneration.netlify.app/>).
Author: Fernando Miguez [aut, cre]
Maintainer: Fernando Miguez <femiguez@iastate.edu>
Diff between apsimx versions 2.8.270 dated 2026-06-27 and 2.8.271 dated 2026-07-13
DESCRIPTION | 6 MD5 | 26 R/wget_apsimx_json.R | 297 ++-- build/partial.rdb |binary build/vignette.rds |binary inst/doc/apsimx-scripts.R | 48 inst/doc/apsimx-scripts.html | 1152 +++++++-------- inst/doc/apsimx.R | 470 +++--- inst/doc/apsimx.html | 2922 ++++++++++++++++++++-------------------- inst/doc/optim-apsim.R | 278 +-- inst/doc/optim-apsim.html | 1516 ++++++++++---------- inst/doc/sensitivity-apsim.R | 172 +- inst/doc/sensitivity-apsim.html | 1200 ++++++++-------- man/get_apsimx_json.Rd | 3 14 files changed, 4046 insertions(+), 4044 deletions(-)
Title: Stepped-Wedge Clinical Trial Analysis and Power Simulation
Description: Provides reusable functions for aggregated cluster-period data,
mixed-effects analysis, and simulation-based power and type I error
evaluation in stepped-wedge cluster randomized trials. The design and
mixed-effects analysis follow Hussey and Hughes (2007)
<doi:10.1016/j.cct.2006.05.007>. Intraclass correlations for binary
outcomes are converted to logistic-normal random-intercept standard
deviations following Eldridge, Ukoumunne and Carlin (2009)
<doi:10.1111/j.1751-5823.2009.00092.x>. Monte Carlo uncertainty in
estimated power is summarized using the exact binomial interval of
Clopper and Pearson (1934) <doi:10.1093/biomet/26.4.404>. The simulation
engine supports sequence-specific baseline risks, cluster random effects,
direct intraclass-correlation specification, Monte Carlo uncertainty
intervals, and model-fitting diagnostics. Applied physician and specialty
helpers are retained for backward compatibility and for an example
health-services workflow.
Author: Lin Li [aut, cre],
Florin Vaida [aut]
Maintainer: Lin (Amanda) Li <amandali14124277@gmail.com>
Diff between stepwedgepower versions 0.1.0 dated 2026-07-10 and 0.1.3 dated 2026-07-13
DESCRIPTION | 31 + MD5 | 22 - NAMESPACE | 3 NEWS.md |only R/power.R | 631 +++++++++++++++++++++++++++++++--------- README.md | 42 +- inst/WORDLIST |only man/cluster_sd_to_icc.Rd |only man/estimate_power.Rd | 99 ++++-- man/estimate_type1_error.Rd | 89 ++++- man/icc_to_cluster_sd.Rd |only man/run_stepwedge_analysis.Rd | 31 + man/simulate_stepwedge_trial.Rd | 87 ++++- tests/testthat/test-core.R | 91 +++++ 14 files changed, 870 insertions(+), 256 deletions(-)
More information about stepwedgepower at CRAN
Permanent link
Title: Consensus Pathway Analysis
Description: Provides a set of functions to perform pathway analysis and meta-analysis from multiple gene expression datasets, as well as visualization of the results. This package wraps functionality from the following packages: Ritchie et al. (2015) <doi:10.1093/nar/gkv007>, Love et al. (2014) <doi:10.1186/s13059-014-0550-8>, Robinson et al. (2010) <doi:10.1093/bioinformatics/btp616>, Korotkevich et al. (2016) <arxiv:10.1101/060012>, Efron et al. (2015) <https://CRAN.R-project.org/package=GSA>, and Gu et al. (2012) <https://CRAN.R-project.org/package=CePa>.
Author: Ha Nguyen [aut, cre],
Phi Bya [aut],
Zeynab Maghsoudi [aut],
Tin Nguyen [fnd]
Maintainer: Ha Nguyen <hvn0006@wayne.edu>
Diff between RCPA versions 0.2.8 dated 2025-09-15 and 0.2.9 dated 2026-07-13
DESCRIPTION | 10 +++++----- MD5 | 4 ++-- inst/doc/RCPA.html | 2 +- 3 files changed, 8 insertions(+), 8 deletions(-)
Title: Transparent and Assisted Linear Modeling Engine
Description: Unified estimation, diagnostics, and reporting for ordinary least
squares (OLS) regression, ANOVA/t-tests, logistic regression, panel data
(fixed/random effects with Hausman test), instrumental variables (2SLS with
weak instrument diagnostics), and difference-in-differences. Designed for
applied researchers in social sciences with integrated "Methodological Customs"
that audit assumptions and provide literature references. All methods
implemented in pure base R without external dependencies beyond stats and
graphics packages.
Author: Manuel Soto-Perez [aut, cre]
Maintainer: Manuel Soto-Perez <msoto@up.edu.mx>
Diff between OLSengine versions 1.0.0 dated 2026-05-14 and 1.1.0 dated 2026-07-13
DESCRIPTION | 41 MD5 | 26 NAMESPACE | 2 NEWS.md |only R/OLS_engine.R | 2334 +++++++++++++++++++++++++++------------- R/data_academic_salaries.R |only README.md | 228 ++- build/vignette.rds |binary data |only inst/doc/vignette_tutorial.R | 109 + inst/doc/vignette_tutorial.Rmd | 308 +++-- inst/doc/vignette_tutorial.html | 308 ++++- man/academic_salaries.Rd |only man/paper_engine.Rd | 65 - man/plot_engine.Rd | 10 vignettes/vignette_tutorial.Rmd | 308 +++-- 16 files changed, 2657 insertions(+), 1082 deletions(-)
Title: An Interface to 'nVenn2'
Description: Creates quasi-proportional Venn diagrams with an arbitrary number of sets.
It is related to the old 'nVennR' package, but the algorithm and use have been reworked.
Author: Victor Quesada [aut, cre, cph]
Maintainer: Victor Quesada <quesadavictor@uniovi.es>
Diff between nVennR2 versions 2.0.2 dated 2026-07-10 and 2.0.3 dated 2026-07-13
DESCRIPTION | 8 MD5 | 16 NEWS.md | 6 inst/doc/nVennR2.html | 3372 +++++++++++++++++++++++----------------------- man/nVennR2-package.Rd | 5 src/elements.h | 1 src/nVenn2.cpp | 9 src/topol.h | 51 tests/testthat/Rplots.pdf |binary 9 files changed, 1771 insertions(+), 1697 deletions(-)
Title: Hypothesis Testing for Markov Switching Models
Description: Implementation of hypothesis testing procedures described in Hansen (1992) <doi:10.1002/jae.3950070506>, Carrasco, Hu, & Ploberger (2014) <doi:10.3982/ECTA8609>, Dufour & Luger (2017) <doi:10.1080/07474938.2017.1307548>, and Rodriguez-Rondon & Dufour (2026a) <doi:10.34989/swp-2026-23> that can be used to identify the number of regimes in Markov switching models. For a detailed description of the package, see Rodriguez-Rondon & Dufour (2026b) <doi:10.34989/swp-2026-7>.
Author: Gabriel Rodriguez-Rondon [cre, aut] ,
Jean-Marie Dufour [aut]
Maintainer: Gabriel Rodriguez-Rondon <gabrodriguezrondon@gmail.com>
Diff between MSTest versions 0.1.8 dated 2026-01-09 and 0.1.9 dated 2026-07-13
DESCRIPTION | 27 MD5 | 163 ++--- NAMESPACE | 1 NEWS.md | 89 ++ R/RcppExports.R | 83 +- R/data.R | 40 - R/helperfuncs.R | 542 +++++++++++++++++ R/htest_LRTest.R | 297 +++++++-- R/htest_MomentTest.R | 6 R/methods.R | 189 +++--- R/models.R | 338 +++++++--- README.md | 15 build |only inst/doc |only inst/examples/article.R | 51 - man/DLMMCpval_fun.Rd | 2 man/DLMMCpval_fun_min.Rd | 2 man/HMmdl.Rd | 71 ++ man/LMCLRTest.Rd | 17 man/LR_samp_dist.Rd | 25 man/LR_samp_dist_par.Rd | 21 man/MCpval.Rd | 2 man/MMCLRTest.Rd | 26 man/MMCLRpval_fun.Rd | 16 man/MMCLRpval_fun_min.Rd | 14 man/MMC_bounds.Rd | 4 man/MSARXmdl.Rd | 20 man/MSARmdl.Rd | 12 man/MSTest-package.Rd | 8 man/MSVARXmdl.Rd | 22 man/MSVARmdl.Rd | 14 man/USGNP.Rd | 8 man/USRGDP.Rd | 8 man/chp10GNP.Rd | 6 man/combine_stat.Rd | 2 man/hamilton84GNP.Rd | 6 man/plot.simuARX.Rd | 2 man/plot.simuMSARX.Rd | 2 man/plot.simuMSVARX.Rd | 2 man/plot.simuVARX.Rd | 2 man/predict.HMmdl.Rd | 6 man/predict.MSARmdl.Rd | 6 man/predict.MSVARmdl.Rd | 6 man/print.ARmdl.Rd | 3 man/print.BootLRTest.Rd | 3 man/print.CHPTest.Rd | 3 man/print.DLMCTest.Rd | 3 man/print.DLMMCTest.Rd | 3 man/print.HLRTest.Rd | 9 man/print.HMmdl.Rd | 3 man/print.LMCLRTest.Rd | 3 man/print.MMCLRTest.Rd | 3 man/print.MSARmdl.Rd | 3 man/print.MSVARmdl.Rd | 3 man/print.Nmdl.Rd | 3 man/print.VARmdl.Rd | 3 man/simuNorm.Rd | 2 man/simuVAR.Rd | 20 man/simuVARX.Rd | 24 man/summary.ARmdl.Rd | 8 man/summary.BootLRTest.Rd | 8 man/summary.CHPTest.Rd | 8 man/summary.DLMCTest.Rd | 10 man/summary.DLMMCTest.Rd | 8 man/summary.HLRTest.Rd | 14 man/summary.HMmdl.Rd | 8 man/summary.LMCLRTest.Rd | 8 man/summary.MMCLRTest.Rd | 8 man/summary.MSARmdl.Rd | 8 man/summary.MSVARmdl.Rd | 8 man/summary.Nmdl.Rd | 8 man/summary.VARmdl.Rd | 8 man/thetaSE.Rd | 6 man/thetaSE_louis.Rd |only src/RcppExports.cpp | 34 - src/htest_CHPTest.cpp | 28 src/htest_LRTest.cpp | 239 +++++-- src/htest_MomentTests.cpp | 44 - src/methods.cpp | 1421 ++++++++++++++++++++++++++++++++++++---------- src/methods.h | 4 tests |only vignettes |only 82 files changed, 3093 insertions(+), 1059 deletions(-)
Title: Chat with Large Language Models
Description: Chat with large language models from a range of providers
including 'Claude' <https://claude.ai>, 'OpenAI'
<https://chatgpt.com>, and more. Supports streaming, asynchronous
calls, tool calling, and structured data extraction.
Author: Hadley Wickham [aut, cre] ,
Joe Cheng [aut],
Aaron Jacobs [aut],
Garrick Aden-Buie [aut] ,
Barret Schloerke [aut] ,
Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>
Diff between ellmer versions 0.4.1 dated 2026-05-07 and 0.4.2 dated 2026-07-13
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Title: Modern Data Summaries and Diagnostic Reports for Statistical
Analysis
Description: Provides robust, NA-aware data summaries, variable diagnostics,
normality decisions, missingness and outlier checks, and reproducible
diagnostic report scaffolding for statistical analysis. DataSum is designed
for researchers, professors, scientists, and analysts who need trustworthy
first-pass insight into tabular data before modeling or publication.
Author: Uzair Javid Khan [aut, cre],
Immad Ahmad Shah [aut],
Sukhdev Mishra [aut]
Maintainer: Uzair Javid Khan <uzairkhan11w@gmail.com>
Diff between DataSum versions 0.1.1 dated 2025-11-12 and 1.0.0 dated 2026-07-13
DataSum-0.1.1/DataSum/R/datasum.R |only DataSum-0.1.1/DataSum/man/DataSumm.Rd |only DataSum-0.1.1/DataSum/man/Datum.Rd |only DataSum-0.1.1/DataSum/man/getmode.Rd |only DataSum-0.1.1/DataSum/man/shapiro_normality_test.Rd |only DataSum-0.1.1/DataSum/tests/testthat/test-datasum.R |only DataSum-1.0.0/DataSum/DESCRIPTION | 45 + DataSum-1.0.0/DataSum/MD5 | 35 + DataSum-1.0.0/DataSum/NAMESPACE | 18 DataSum-1.0.0/DataSum/NEWS.md |only DataSum-1.0.0/DataSum/R/app.R |only DataSum-1.0.0/DataSum/R/report.R |only DataSum-1.0.0/DataSum/R/summarize.R |only DataSum-1.0.0/DataSum/README.md | 256 ++++++----- DataSum-1.0.0/DataSum/build |only DataSum-1.0.0/DataSum/inst |only DataSum-1.0.0/DataSum/man/DataSum-package.Rd |only DataSum-1.0.0/DataSum/man/datasum_report.Rd |only DataSum-1.0.0/DataSum/man/figures |only DataSum-1.0.0/DataSum/man/profile_data.Rd |only DataSum-1.0.0/DataSum/man/run_datasum_app.Rd |only DataSum-1.0.0/DataSum/man/summarize_data.Rd |only DataSum-1.0.0/DataSum/man/summarize_vector.Rd |only DataSum-1.0.0/DataSum/tests/testthat.R | 16 DataSum-1.0.0/DataSum/tests/testthat/test-profile-data.R |only DataSum-1.0.0/DataSum/tests/testthat/test-report-app.R |only DataSum-1.0.0/DataSum/tests/testthat/test-summarize-data.R |only DataSum-1.0.0/DataSum/tests/testthat/test-summarize-vector.R |only DataSum-1.0.0/DataSum/vignettes |only 29 files changed, 222 insertions(+), 148 deletions(-)
Title: The Weyl Algebra
Description: A suite of routines for Weyl algebras. Notation follows
Coutinho (1995, ISBN 0-521-55119-6, "A Primer of Algebraic
D-Modules"). Uses 'disordR' discipline
(Hankin 2022 <doi:10.48550/arXiv.2210.03856>). To cite
the package in publications, use Hankin
2022 <doi:10.48550/arXiv.2212.09230>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>
Diff between weyl versions 0.0-7 dated 2025-04-08 and 0.0-8 dated 2026-07-13
weyl-0.0-7/weyl/inst/weyl_arxiv.Rnw |only weyl-0.0-8/weyl/DESCRIPTION | 14 +++--- weyl-0.0-8/weyl/MD5 | 59 ++++++++++++++-------------- weyl-0.0-8/weyl/NAMESPACE | 4 + weyl-0.0-8/weyl/NEWS.md | 5 ++ weyl-0.0-8/weyl/R/weyl.R | 19 +++------ weyl-0.0-8/weyl/build/partial.rdb |binary weyl-0.0-8/weyl/build/vignette.rds |binary weyl-0.0-8/weyl/data/dot.rda |binary weyl-0.0-8/weyl/data/x_and_d.rda |binary weyl-0.0-8/weyl/inst/doc/borcherds.Rmd | 2 weyl-0.0-8/weyl/inst/doc/borcherds.html | 7 +-- weyl-0.0-8/weyl/inst/doc/weyl.R | 4 - weyl-0.0-8/weyl/inst/doc/weyl.Rmd | 4 - weyl-0.0-8/weyl/inst/doc/weyl.html | 23 +++++------ weyl-0.0-8/weyl/man/coeffs.Rd | 4 - weyl-0.0-8/weyl/man/constant.Rd | 10 ++-- weyl-0.0-8/weyl/man/degree.Rd | 2 weyl-0.0-8/weyl/man/dot.Rd | 16 ++++++- weyl-0.0-8/weyl/man/drop.Rd | 2 weyl-0.0-8/weyl/man/grade.Rd | 20 +++++---- weyl-0.0-8/weyl/man/horner.Rd | 4 - weyl-0.0-8/weyl/man/ooom.Rd | 8 +-- weyl-0.0-8/weyl/man/spray.Rd | 6 +- weyl-0.0-8/weyl/man/weyl-class.Rd | 2 weyl-0.0-8/weyl/man/weyl.Rd | 2 weyl-0.0-8/weyl/man/x_and_d.Rd | 8 ++- weyl-0.0-8/weyl/man/zero.Rd | 14 +++++- weyl-0.0-8/weyl/vignettes/borcherds.Rmd | 2 weyl-0.0-8/weyl/vignettes/weyl.Rmd | 4 - weyl-0.0-8/weyl/vignettes/weyl.bib | 66 +++++++++++++++++++++++++++++++- 31 files changed, 197 insertions(+), 114 deletions(-)
Title: Exact Test and Visualization of Multi-Set Intersections
Description: Identification of sets of objects with shared features is a common operation in all disciplines. Analysis of intersections among multiple sets is fundamental for in-depth understanding of their complex relationships. This package implements a theoretical framework for efficient computation of statistical distributions of multi-set intersections based upon combinatorial theory, and provides multiple scalable techniques for visualizing the intersection statistics. The statistical algorithm behind this package was published in Wang et al. (2015) <doi:10.1038/srep16923>.
Author: Minghui Wang [aut, cre],
Yongzhong Zhao [aut],
Bin Zhang [aut]
Maintainer: Minghui Wang <minghui.wang@mssm.edu>
Diff between SuperExactTest versions 1.1.0 dated 2022-03-25 and 1.2.0 dated 2026-07-13
SuperExactTest-1.1.0/SuperExactTest/src/binom.c |only SuperExactTest-1.1.0/SuperExactTest/src/cmp.c |only SuperExactTest-1.1.0/SuperExactTest/src/dmvhyperLog.c |only SuperExactTest-1.2.0/SuperExactTest/DESCRIPTION | 17 SuperExactTest-1.2.0/SuperExactTest/MD5 | 25 - SuperExactTest-1.2.0/SuperExactTest/R/psets.R | 8 SuperExactTest-1.2.0/SuperExactTest/R/vis.R | 24 - SuperExactTest-1.2.0/SuperExactTest/build/vignette.rds |binary SuperExactTest-1.2.0/SuperExactTest/inst/doc/set_html.R | 8 SuperExactTest-1.2.0/SuperExactTest/inst/doc/set_html.html | 30 - SuperExactTest-1.2.0/SuperExactTest/man/plot.Rd | 2 SuperExactTest-1.2.0/SuperExactTest/src/dmvhyper.c | 125 +++--- SuperExactTest-1.2.0/SuperExactTest/src/mvhyper.h | 142 ++++++- SuperExactTest-1.2.0/SuperExactTest/src/pmvhyper.c | 192 +++++----- SuperExactTest-1.2.0/SuperExactTest/src/registerDynamicSymbol.c | 18 15 files changed, 367 insertions(+), 224 deletions(-)
More information about SuperExactTest at CRAN
Permanent link
Title: Species Identity and Evolution in R
Description: Analysis of species limits and DNA barcoding data. Included are functions for generating important summary statistics from DNA barcode data, assessing specimen identification efficacy, testing and optimizing divergence threshold limits, assessment of diagnostic nucleotides, and calculation of the probability of reciprocal monophyly. Additionally, a sliding window function offers opportunities to analyse information across a gene, often used for marker design in degraded DNA studies. Further information on the package has been published in Brown et al (2012) <doi:10.1111/j.1755-0998.2011.03108.x>.
Author: Samuel Brown [aut],
Stephane Boyer [aut],
Marie-Caroline Lefort [aut],
Jagoba Malumbres-Olarte [aut],
Cor Vink [aut],
Rob Cruickshank [aut],
Rupert A. Collins [aut, cre, cph]
Maintainer: Rupert A. Collins <rupertcollins@gmail.com>
Diff between spider versions 1.5.2 dated 2026-04-04 and 1.5.3 dated 2026-07-13
DESCRIPTION | 10 +++++----- MD5 | 8 ++++---- NEWS | 7 +++++++ R/seeBarcode.R | 5 +++-- man/seeBarcode.Rd | 2 +- 5 files changed, 20 insertions(+), 12 deletions(-)
Title: Power Fuzzy Clustering and Cluster-Wise Regression
Description: Implementations of Power Fuzzy Clustering (PFC) and Power Fuzzy
Cluster-wise Regression (PFCR) for multivariate data. The package supports
Minkowski distances, with the L1 case solved via iteratively re-weighted
least squares and the case p > 1 solved via coordinate-wise root finding,
as well as an adaptive, regularised Mahalanobis distance with per-cluster
covariance matrices. Both plain fuzzy clustering and cluster-wise linear
regression are provided. The corresponding paper can be found at Nguyen P.T., Tortora C., and Punzo A. (2026) <doi:10.1109/TFUZZ.2026.3683998>.
Author: Phuc Thinh Nguyen [aut, cre],
Cristina Tortora [aut, ths, dgs],
Antonio Punzo [aut, ths, dgs]
Maintainer: Phuc Thinh Nguyen <phucthinh010603@yahoo.com>
Diff between pfclust versions 0.1.0 dated 2026-04-28 and 0.1.1 dated 2026-07-13
DESCRIPTION | 6 +-- MD5 | 16 ++++---- R/PDVRegressionWithEuclidean.R |only R/PDVWithEuclidean.R |only R/PFC.R | 23 +++++++---- R/PFCR.R | 19 ++++++--- inst/examples/demo.R | 47 ++++++++++++++++++++--- man/PFC.Rd | 63 +++++++++---------------------- man/PFCR.Rd | 82 ++++++++++++----------------------------- man/pfclust-package.Rd | 4 +- 10 files changed, 123 insertions(+), 137 deletions(-)
Title: Perform HTTP Requests and Process the Responses
Description: Tools for creating and modifying HTTP requests, then
performing them and processing the results. 'httr2' is a modern
re-imagining of 'httr' that uses a pipe-based interface and solves
more of the problems that API wrapping packages face.
Author: Hadley Wickham [aut, cre],
Posit Software, PBC [cph, fnd],
Maximilian Girlich [ctb]
Maintainer: Hadley Wickham <hadley@posit.co>
Diff between httr2 versions 1.2.3 dated 2026-06-23 and 1.3.0 dated 2026-07-13
DESCRIPTION | 11 - MD5 | 58 ++++----- NAMESPACE | 1 NEWS.md | 8 + R/oauth-flow-auth-code.R | 14 +- R/oauth-flow-client-credentials.R | 11 + R/oauth-flow-device.R | 11 + R/oauth-flow-jwt.R | 11 + R/oauth-flow-password.R | 11 + R/oauth-flow-refresh.R | 11 + R/oauth-flow-token-exchange.R | 11 + R/oauth-token.R | 2 R/oauth.R | 92 ++++++++++++-- R/req-body.R | 2 README.md | 4 inst/doc/httr2.html | 38 +++--- man/oauth_cache_prune.Rd |only man/req_oauth.Rd | 6 man/req_oauth_auth_code.Rd | 7 - man/req_oauth_bearer_jwt.Rd | 7 - man/req_oauth_client_credentials.Rd | 12 + man/req_oauth_device.Rd | 7 - man/req_oauth_password.Rd | 7 - man/req_oauth_refresh.Rd | 7 - man/req_oauth_token_exchange.Rd | 7 - tests/testthat/_snaps/oauth-client.md | 6 tests/testthat/_snaps/oauth.md | 18 ++ tests/testthat/_snaps/req-cache.md | 6 tests/testthat/test-oauth-flow-client-credentials.R |only tests/testthat/test-oauth-token.R | 6 tests/testthat/test-oauth.R | 126 +++++++++++++++++++- 31 files changed, 412 insertions(+), 106 deletions(-)
Title: Probabilistic Regression Trees
Description: Implementation of Probabilistic Regression Trees (PRTree),
providing functions for model fitting and prediction, with specific adaptations
to handle missing values. The main computations are implemented in 'Fortran'
for high efficiency. The package is based on the PRTree methodology described in
Alkhoury et al. (2020), "Smooth and Consistent Probabilistic Regression Trees"
<https://proceedings.neurips.cc/paper_files/paper/2020/file/8289889263db4a40463e3f358bb7c7a1-Paper.pdf>.
Details on the treatment of missing data and implementation aspects are presented
in Prass, T.S.; Neimaier, A.S.; Pumi, G. (2025),
"Handling Missing Data in Probabilistic Regression Trees: Methods and Implementation in R"
<doi:10.48550/arXiv.2510.03634>.
Author: Taiane Schaedler Prass [aut, ths, cre] ,
Alisson Silva Neimaier [aut]
Maintainer: Taiane Schaedler Prass <taianeprass@gmail.com>
Diff between PRTree versions 1.0.3 dated 2026-02-18 and 1.1.0 dated 2026-07-13
PRTree-1.0.3/PRTree/R/misc.R |only PRTree-1.1.0/PRTree/DESCRIPTION | 52 PRTree-1.1.0/PRTree/MD5 | 63 PRTree-1.1.0/PRTree/NAMESPACE | 23 PRTree-1.1.0/PRTree/R/prtree.R | 40 PRTree-1.1.0/PRTree/R/prtree_control.R | 466 ++-- PRTree-1.1.0/PRTree/R/prtree_control_utils.R |only PRTree-1.1.0/PRTree/R/prtree_cv.R |only PRTree-1.1.0/PRTree/R/prtree_cv_methods.R |only PRTree-1.1.0/PRTree/R/prtree_defaults.R |only PRTree-1.1.0/PRTree/R/prtree_grid_expansion.R |only PRTree-1.1.0/PRTree/R/prtree_main.R | 340 ++- PRTree-1.1.0/PRTree/R/prtree_main_methods.R |only PRTree-1.1.0/PRTree/R/prtree_messages.R |only PRTree-1.1.0/PRTree/R/prtree_predict.R | 129 - PRTree-1.1.0/PRTree/R/prtree_rules.R |only PRTree-1.1.0/PRTree/R/prtree_split.R |only PRTree-1.1.0/PRTree/R/prtree_validation.R |only PRTree-1.1.0/PRTree/build |only PRTree-1.1.0/PRTree/inst/news.md | 29 PRTree-1.1.0/PRTree/man/PRTree.Package.Rd | 8 PRTree-1.1.0/PRTree/man/expand_sigma_grid.Rd |only PRTree-1.1.0/PRTree/man/plot.prtree.Rd |only PRTree-1.1.0/PRTree/man/plot.prtree.cv.Rd |only PRTree-1.1.0/PRTree/man/plot_tree.Rd |only PRTree-1.1.0/PRTree/man/pr_tree.Rd | 216 +- PRTree-1.1.0/PRTree/man/pr_tree_control.Rd | 280 +- PRTree-1.1.0/PRTree/man/pr_tree_control_cv.Rd |only PRTree-1.1.0/PRTree/man/pr_tree_cv.Rd |only PRTree-1.1.0/PRTree/man/predict.prtree.Rd | 25 PRTree-1.1.0/PRTree/man/print.idx.split.Rd |only PRTree-1.1.0/PRTree/man/print.prtree.Rd |only PRTree-1.1.0/PRTree/man/print.prtree.control.Rd |only PRTree-1.1.0/PRTree/man/print.prtree.control_cv.Rd |only PRTree-1.1.0/PRTree/man/print.prtree.cv.Rd |only PRTree-1.1.0/PRTree/man/print.sigma_grid.Rd |only PRTree-1.1.0/PRTree/man/print.summary.idx.split.Rd |only PRTree-1.1.0/PRTree/man/print.summary.prtree.Rd |only PRTree-1.1.0/PRTree/man/print.summary.prtree.cv.Rd |only PRTree-1.1.0/PRTree/man/summary.idx.split.Rd |only PRTree-1.1.0/PRTree/man/summary.prtree.Rd |only PRTree-1.1.0/PRTree/man/summary.prtree.cv.Rd |only PRTree-1.1.0/PRTree/man/train_test_split.Rd |only PRTree-1.1.0/PRTree/src/PRTree_init.c | 63 PRTree-1.1.0/PRTree/src/Rcalls.f90 | 300 +- PRTree-1.1.0/PRTree/src/prtree.f90 | 2263 +++++++++++---------- PRTree-1.1.0/PRTree/src/prtree_misc.f90 | 285 +- PRTree-1.1.0/PRTree/src/prtree_types.f90 | 468 +--- 48 files changed, 2770 insertions(+), 2280 deletions(-)
Title: Bayesian Analyses for One- and Two-Sample Inference and
Regression Methods
Description: Perform fundamental analyses using Bayesian parametric and non-parametric inference (regression, anova, 1 and 2 sample inference, non-parametric tests, etc.). (Practically) no Markov chain Monte Carlo (MCMC) is used; all exact finite sample inference is completed via closed form solutions or else through posterior sampling automated to ensure precision in interval estimate bounds. Diagnostic plots for model assessment, and key inferential quantities (point and interval estimates, probability of direction, region of practical equivalence, and Bayes factors) and model visualizations are provided. Bayes factors are computed either by the Savage Dickey ratio given in Dickey (1971) <doi:10.1214/aoms/1177693507> or by Chib's method as given in <doi:10.1080/01621459.1995.10476635>. Interpretations are from Kass and Raftery (1995) <doi:10.1080/01621459.1995.10476572>. ROPE bounds are based on discussions in Kruschke (2018) <doi:10.1177/2515245918771304>. Methods for d [...truncated...]
Author: Daniel K. Sewell [aut, cre, cph] ,
Alan Arakkal [aut]
Maintainer: Daniel K. Sewell <daniel-sewell@uiowa.edu>
Diff between bayesics versions 2.1.1 dated 2026-03-11 and 3.0.0 dated 2026-07-13
bayesics-2.1.1/bayesics/R/predict.aov_b.R |only bayesics-2.1.1/bayesics/R/predict.glm_b.R |only bayesics-2.1.1/bayesics/R/predict.lm_b.R |only bayesics-2.1.1/bayesics/R/predict.lm_b_bma.R |only bayesics-2.1.1/bayesics/R/predict.np_glm_b.R |only bayesics-2.1.1/bayesics/man/predict.aov_b.Rd |only bayesics-2.1.1/bayesics/man/predict.glm_b.Rd |only bayesics-2.1.1/bayesics/man/predict.lm_b.Rd |only bayesics-2.1.1/bayesics/man/predict.lm_b_bma.Rd |only bayesics-2.1.1/bayesics/man/predict.np_glm_b.Rd |only bayesics-2.1.1/bayesics/tests/testthat/test-get_posterior_draws.R |only bayesics-3.0.0/bayesics/DESCRIPTION | 12 bayesics-3.0.0/bayesics/MD5 | 181 bayesics-3.0.0/bayesics/NAMESPACE | 376 - bayesics-3.0.0/bayesics/NEWS.md | 13 bayesics-3.0.0/bayesics/R/IC.R | 740 +-- bayesics-3.0.0/bayesics/R/aov_b.R | 131 bayesics-3.0.0/bayesics/R/b_procedure-class.R |only bayesics-3.0.0/bayesics/R/bayes_factors.R | 73 bayesics-3.0.0/bayesics/R/bayes_pvalue.R |only bayesics-3.0.0/bayesics/R/bayesics-package.R |only bayesics-3.0.0/bayesics/R/bma_inference.R | 262 - bayesics-3.0.0/bayesics/R/case_control_b.R | 376 + bayesics-3.0.0/bayesics/R/chisq_test_b.R | 664 +-- bayesics-3.0.0/bayesics/R/coef.R | 52 bayesics-3.0.0/bayesics/R/cor_test_b.R | 353 - bayesics-3.0.0/bayesics/R/credint.R | 212 - bayesics-3.0.0/bayesics/R/find_beta_parms.R | 2 bayesics-3.0.0/bayesics/R/find_invgamma_parms.R | 2 bayesics-3.0.0/bayesics/R/frac_bayes_factors.R | 4 bayesics-3.0.0/bayesics/R/get_posterior_draws.R | 176 bayesics-3.0.0/bayesics/R/glm_b.R | 47 bayesics-3.0.0/bayesics/R/heteroscedasticity_test.R | 2 bayesics-3.0.0/bayesics/R/imports.R | 7 bayesics-3.0.0/bayesics/R/lm_b-class.R |only bayesics-3.0.0/bayesics/R/lm_b.R | 51 bayesics-3.0.0/bayesics/R/logLik.R |only bayesics-3.0.0/bayesics/R/mediate_b.R | 37 bayesics-3.0.0/bayesics/R/negbinom.R | 2 bayesics-3.0.0/bayesics/R/np_glm_b.R | 31 bayesics-3.0.0/bayesics/R/plot.R | 2018 ---------- bayesics-3.0.0/bayesics/R/plot_bands.R |only bayesics-3.0.0/bayesics/R/plot_dx.R |only bayesics-3.0.0/bayesics/R/poisson_test_b.R | 314 - bayesics-3.0.0/bayesics/R/predict.R |only bayesics-3.0.0/bayesics/R/print.R | 309 + bayesics-3.0.0/bayesics/R/prop_test_b.R | 854 ---- bayesics-3.0.0/bayesics/R/sign_test_b.R | 149 bayesics-3.0.0/bayesics/R/summary.R | 471 +- bayesics-3.0.0/bayesics/R/survfit_b.R | 2 bayesics-3.0.0/bayesics/R/t_test_b.R | 567 ++ bayesics-3.0.0/bayesics/R/vcov.R | 88 bayesics-3.0.0/bayesics/R/wilcoxon_test_b.R | 478 +- bayesics-3.0.0/bayesics/man/IC.Rd | 41 bayesics-3.0.0/bayesics/man/Surv.Rd | 82 bayesics-3.0.0/bayesics/man/aov_b.Rd | 37 bayesics-3.0.0/bayesics/man/b_procedure-class.Rd |only bayesics-3.0.0/bayesics/man/bayes_factors.Rd | 7 bayesics-3.0.0/bayesics/man/bayes_pvalue.Rd |only bayesics-3.0.0/bayesics/man/bayesics-package.Rd |only bayesics-3.0.0/bayesics/man/bma_inference.Rd | 20 bayesics-3.0.0/bayesics/man/case_control_b.Rd | 19 bayesics-3.0.0/bayesics/man/chisq_test_b.Rd | 38 bayesics-3.0.0/bayesics/man/coef.Rd | 13 bayesics-3.0.0/bayesics/man/cor_test_b.Rd | 19 bayesics-3.0.0/bayesics/man/credint.Rd | 11 bayesics-3.0.0/bayesics/man/find_beta_parms.Rd | 4 bayesics-3.0.0/bayesics/man/find_invgamma_parms.Rd | 4 bayesics-3.0.0/bayesics/man/frac_bayes_factors.Rd | 4 bayesics-3.0.0/bayesics/man/get_posterior_draws.Rd | 16 bayesics-3.0.0/bayesics/man/glm_b.Rd | 27 bayesics-3.0.0/bayesics/man/heteroscedasticity_test.Rd | 2 bayesics-3.0.0/bayesics/man/lm_b-class.Rd |only bayesics-3.0.0/bayesics/man/lm_b.Rd | 17 bayesics-3.0.0/bayesics/man/logLik.Rd |only bayesics-3.0.0/bayesics/man/mediate_b.Rd | 9 bayesics-3.0.0/bayesics/man/negbinom.Rd | 2 bayesics-3.0.0/bayesics/man/np_glm_b.Rd | 8 bayesics-3.0.0/bayesics/man/plot.Rd | 104 bayesics-3.0.0/bayesics/man/plot_bands.Rd |only bayesics-3.0.0/bayesics/man/plot_dx.Rd |only bayesics-3.0.0/bayesics/man/poisson_test_b.Rd | 24 bayesics-3.0.0/bayesics/man/predict.Rd |only bayesics-3.0.0/bayesics/man/print.Rd | 18 bayesics-3.0.0/bayesics/man/prop_test_b.Rd | 32 bayesics-3.0.0/bayesics/man/sign_test_b.Rd | 19 bayesics-3.0.0/bayesics/man/summary.Rd | 30 bayesics-3.0.0/bayesics/man/survfit_b.Rd | 2 bayesics-3.0.0/bayesics/man/t_test_b.Rd | 10 bayesics-3.0.0/bayesics/man/vcov.Rd | 11 bayesics-3.0.0/bayesics/man/wilcoxon_test_b.Rd | 36 bayesics-3.0.0/bayesics/tests/testthat/test-aov_b.R | 529 +- bayesics-3.0.0/bayesics/tests/testthat/test-bma_inference.R | 49 bayesics-3.0.0/bayesics/tests/testthat/test-case_control_b.R | 78 bayesics-3.0.0/bayesics/tests/testthat/test-chisq_test_b.R | 85 bayesics-3.0.0/bayesics/tests/testthat/test-cor_test_b.R | 10 bayesics-3.0.0/bayesics/tests/testthat/test-glm_b.R | 1517 ++++--- bayesics-3.0.0/bayesics/tests/testthat/test-lm_b.R | 713 ++- bayesics-3.0.0/bayesics/tests/testthat/test-mediate_b.R | 113 bayesics-3.0.0/bayesics/tests/testthat/test-np_glm_b.R | 931 ++-- bayesics-3.0.0/bayesics/tests/testthat/test-poisson_test_b.R | 52 bayesics-3.0.0/bayesics/tests/testthat/test-prop_test_b.R | 47 bayesics-3.0.0/bayesics/tests/testthat/test-sign_test_b.R | 41 bayesics-3.0.0/bayesics/tests/testthat/test-t_test_b.R | 71 bayesics-3.0.0/bayesics/tests/testthat/test-wilcoxon_test_b.R | 54 105 files changed, 6250 insertions(+), 7762 deletions(-)
Title: ACC Baseball Datasets with Advanced Sabermetric Metrics
Description: Provides curated ACC (Atlantic Coast Conference) baseball
datasets at the player-season level, including traditional statistics
and advanced sabermetric metrics such as weighted on-base average
(wOBA), weighted runs created plus (wRC+), and fielding-independent
pitching (FIP).
Author: Hana Baskin [aut, cre, cph]
Maintainer: Hana Baskin <hana.baskin@gmail.com>
Diff between accbaseballr versions 0.1.3 dated 2026-05-28 and 0.1.4 dated 2026-07-13
DESCRIPTION | 6 +++--- MD5 | 12 ++++++------ NEWS.md | 12 ++++++++++++ data/batting.rda |binary data/league_context.rda |binary data/pitching.rda |binary data/players.rda |binary 7 files changed, 21 insertions(+), 9 deletions(-)
Title: Generalized Boosted Regression Models
Description: Extensions to Freund and Schapire's AdaBoost algorithm, Y. Freund
and R. Schapire (1997) <doi:10.1006/jcss.1997.1504> and Friedman's gradient
boosting machine, J.H. Friedman (2001) <doi:10.1214/aos/1013203451>.
Includes regression methods for least squares, absolute loss,
t-distribution loss, quantile regression, logistic, Poisson,
Cox proportional hazards partial likelihood, AdaBoost
exponential loss, Huberized hinge loss,
and Learning to Rank measures (LambdaMART).
Author: James Hickey [aut],
Paul Metcalfe [aut],
Greg Ridgeway [aut, cre],
Stefan Schroedl [aut],
Harry Southworth [aut],
Terry Therneau [aut]
Maintainer: Greg Ridgeway <gridge@upenn.edu>
Diff between gbm3 versions 3.0.1 dated 2026-05-13 and 3.0.2 dated 2026-07-13
DESCRIPTION | 13 - MD5 | 66 +++--- R/create_dist_obj_for_gbmt_fit.R | 19 + R/gbm-distribution.r | 173 ++++++++-------- R/gbm.r | 13 - R/gbmt-fit.r | 6 README.md | 4 build/vignette.rds |binary inst/doc/cox-proportional-hazards-guide.R | 4 inst/doc/cox-proportional-hazards-guide.Rmd | 24 +- inst/doc/cox-proportional-hazards-guide.html | 81 +++---- inst/doc/gbm.R | 2 inst/doc/gbm.Rmd | 149 +++++++++++--- inst/doc/gbm.html | 275 +++++++++++++++++++++------ inst/doc/getting-started-with-gbm.Rmd | 63 +++--- inst/doc/getting-started-with-gbm.html | 240 +++++++++++------------ inst/doc/model-specific-parameters.R | 2 inst/doc/model-specific-parameters.Rmd | 21 -- inst/doc/model-specific-parameters.html | 74 +++---- man/gbm.Rd | 13 - man/gbm3-package.Rd | 1 man/gbm_dist.Rd | 12 - man/gbmt_fit.Rd | 6 src/censored_cox_state.h | 9 src/counting_cox_state.h | 11 - src/gamma.cpp | 15 + src/locationm.cpp | 15 + src/poisson.cpp | 18 + src/tweedie.cpp | 14 - tests/testthat/Rplots.pdf |binary vignettes/cox-proportional-hazards-guide.Rmd | 24 +- vignettes/gbm.Rmd | 149 +++++++++++--- vignettes/getting-started-with-gbm.Rmd | 63 +++--- vignettes/model-specific-parameters.Rmd | 21 -- 34 files changed, 979 insertions(+), 621 deletions(-)
Title: Additional Univariate and Multivariate Distributions
Description: Density, distribution function, quantile function
and random generation for a number of univariate
and multivariate distributions. This package implements the
following distributions: Bernoulli, beta-binomial, beta-negative
binomial, beta prime, Bhattacharjee, Birnbaum-Saunders,
bivariate normal, bivariate Poisson, categorical, Dirichlet,
Dirichlet-multinomial, discrete gamma, discrete Laplace,
discrete normal, discrete uniform, discrete Weibull, Frechet,
gamma-Poisson, generalized extreme value, Gompertz,
generalized Pareto, Gumbel, half-Cauchy, half-normal, half-t,
Huber density, inverse chi-squared, inverse-gamma, Kumaraswamy,
Laplace, location-scale t, logarithmic, Lomax, multivariate
hypergeometric, multinomial, negative hypergeometric,
non-standard beta, normal mixture, Poisson mixture, Pareto,
power, reparametrized beta, Rayleigh, shifted Gompertz, Skellam,
slash, triangular, truncated binomial, truncated normal,
truncated Poisson, Tukey lambda, Wald, zero-inflated binomial,
zer [...truncated...]
Author: Tymoteusz Wolodzko [aut],
Sigbert Klinke [cre],
Thomas Farrar [ctb],
Piero Giovanni Luca Porta-Mana [ctb]
Maintainer: Sigbert Klinke <sigbert@wiwi.hu-berlin.de>
Diff between extraDistr versions 1.10.0.4 dated 2026-05-18 and 1.10.0.5 dated 2026-07-13
DESCRIPTION | 17 +++++++++++------ MD5 | 10 +++++----- NEWS.md | 5 +++++ R/categorical-distribution.R | 5 +++++ man/Categorical.Rd | 4 ++++ man/extraDistr-package.Rd | 1 + 6 files changed, 31 insertions(+), 11 deletions(-)
Title: Runs Allelematch Regression Tests
Description: Automates regression testing of package 'allelematch'. Over
2500 tests cover all functions in 'allelematch', reproduce the
examples from the documentation, and include negative tests. The
implementation is based on 'testthat'.
Author: Department of Wildlife, Fish and Environmental Studies at Swedish
University of Agricultural Sciences [cph],
Goeran Spong [cph] ,
Paul Galpern [ctb] ,
Torvald Staxler [aut, cre]
Maintainer: Torvald Staxler <torvald.staxler@telia.com>
Diff between amregtest versions 1.1.0 dated 2026-07-04 and 1.2.0 dated 2026-07-13
amregtest-1.1.0/amregtest/tests/testthat/_snaps/allelematch_3-amPairwise.md |only amregtest-1.1.0/amregtest/tests/testthat/_snaps/allelematch_4-amCluster.md |only amregtest-1.1.0/amregtest/tests/testthat/_snaps/allelematch_5-amAlleleFreq.md |only amregtest-1.1.0/amregtest/tests/testthat/_snaps/allelematch_6-amUnique.md |only amregtest-1.1.0/amregtest/tests/testthat/_snaps/amExample1.md |only amregtest-1.1.0/amregtest/tests/testthat/_snaps/amExample2.md |only amregtest-1.1.0/amregtest/tests/testthat/_snaps/amExample3.md |only amregtest-1.1.0/amregtest/tests/testthat/_snaps/amExample4.md |only amregtest-1.1.0/amregtest/tests/testthat/_snaps/ggData.md |only amregtest-1.2.0/amregtest/DESCRIPTION | 6 amregtest-1.2.0/amregtest/MD5 | 110 amregtest-1.2.0/amregtest/NEWS.md | 16 amregtest-1.2.0/amregtest/tests/testthat/Rplots.pdf |binary amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.5/allelematch_1-amDataset.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.5/allelematch_2-amMatrix_negative.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.5/allelematch_3-amPairwise.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.5/allelematch_3-amPairwise_negative.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.5/allelematch_4-amCluster-Ex2.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.5/allelematch_4-amCluster-Ex3.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.5/allelematch_4-amCluster-Ex4.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.5/allelematch_4-amCluster-Ex5.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.5/allelematch_5-amAlleleFreq.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.5/allelematch_6-amUnique.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.5/allelematch_6-amUnique_negative.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.5/amExample1.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.5/amExample2.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.5/amExample3.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.5/amExample4.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.5/ggData.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.6/allelematch_1-amDataset.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.6/allelematch_2-amMatrix_negative.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.6/allelematch_3-amPairwise_negative.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.6/allelematch_3-amPairwise_print.md | 693 +---- amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.6/allelematch_4-amCluster_print.md | 958 ++----- amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.6/allelematch_5-amAlleleFreq.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.6/allelematch_6-amUnique.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.6/allelematch_6-amUnique_negative.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.6/allelematch_6-amUnique_print.md | 1286 +++------- amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.6/amExample1.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.6/amExample3.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/2.6/ggData.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/allelematch_1-amDataset.md | 78 amregtest-1.2.0/amregtest/tests/testthat/_snaps/allelematch_2-amMatrix_negative.md | 13 amregtest-1.2.0/amregtest/tests/testthat/_snaps/allelematch_3-amPairwise_negative.md | 26 amregtest-1.2.0/amregtest/tests/testthat/_snaps/allelematch_4-amCluster-Ex1.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/allelematch_4-amCluster-amMini.md |only amregtest-1.2.0/amregtest/tests/testthat/_snaps/allelematch_6-amUnique_negative.md | 13 amregtest-1.2.0/amregtest/tests/testthat/_snaps/allelematch_7-amUniqueProfile.md | 6 amregtest-1.2.0/amregtest/tests/testthat/_snaps/bad-2.6.0 |only amregtest-1.2.0/amregtest/tests/testthat/helper.R | 13 amregtest-1.2.0/amregtest/tests/testthat/setup-snapshot_amCluster.R |only amregtest-1.2.0/amregtest/tests/testthat/setup.R | 13 amregtest-1.2.0/amregtest/tests/testthat/test-allelematch_1-amDataset.R | 16 amregtest-1.2.0/amregtest/tests/testthat/test-allelematch_2-amMatrix_negative.R | 2 amregtest-1.2.0/amregtest/tests/testthat/test-allelematch_3-amPairwise.R | 77 amregtest-1.2.0/amregtest/tests/testthat/test-allelematch_3-amPairwise_negative.R | 4 amregtest-1.2.0/amregtest/tests/testthat/test-allelematch_3-amPairwise_print.R | 3 amregtest-1.2.0/amregtest/tests/testthat/test-allelematch_4-amCluster-Ex1.R |only amregtest-1.2.0/amregtest/tests/testthat/test-allelematch_4-amCluster-Ex2.R |only amregtest-1.2.0/amregtest/tests/testthat/test-allelematch_4-amCluster-Ex3.R |only amregtest-1.2.0/amregtest/tests/testthat/test-allelematch_4-amCluster-Ex4.R |only amregtest-1.2.0/amregtest/tests/testthat/test-allelematch_4-amCluster-Ex5.R |only amregtest-1.2.0/amregtest/tests/testthat/test-allelematch_4-amCluster-amMini.R |only amregtest-1.2.0/amregtest/tests/testthat/test-allelematch_4-amCluster.R | 82 amregtest-1.2.0/amregtest/tests/testthat/test-allelematch_4-amCluster_print.R | 4 amregtest-1.2.0/amregtest/tests/testthat/test-allelematch_5-amAlleleFreq.R | 40 amregtest-1.2.0/amregtest/tests/testthat/test-allelematch_6-amUnique.R | 11 amregtest-1.2.0/amregtest/tests/testthat/test-allelematch_6-amUnique_negative.R | 14 amregtest-1.2.0/amregtest/tests/testthat/test-allelematch_6-amUnique_print.R | 3 amregtest-1.2.0/amregtest/tests/testthat/test-allelematch_7-amUniqueProfile.R | 11 amregtest-1.2.0/amregtest/tests/testthat/test-amExample1.R | 27 amregtest-1.2.0/amregtest/tests/testthat/test-amExample2.R | 26 amregtest-1.2.0/amregtest/tests/testthat/test-amExample3.R | 20 amregtest-1.2.0/amregtest/tests/testthat/test-amExample4.R | 24 amregtest-1.2.0/amregtest/tests/testthat/test-ggData.R | 12 75 files changed, 1248 insertions(+), 2359 deletions(-)
Title: Adaptive Weights Smoothing
Description: We provide a collection of R-functions implementing
adaptive smoothing procedures in 1D, 2D and 3D. This includes the
Propagation-Separation Approach to adaptive smoothing,
the Intersecting Confidence Intervals (ICI), variational approaches and a non-local means filter.
The package is described in detail in Polzehl J, Papafitsoros K, Tabelow K (2020).
Patch-Wise Adaptive Weights Smoothing in R. Journal of Statistical Software, 95(6), 1-27.
<doi:10.18637/jss.v095.i06>,
Usage of the package in MR imaging is illustrated in Polzehl and Tabelow (2023),
Magnetic Resonance Brain Imaging, 2nd Ed. Appendix A, Springer, Use R! Series.
<doi:10.1007/978-3-031-38949-8>.
Author: Joerg Polzehl [aut, cre],
Felix Anker [ctb]
Maintainer: Joerg Polzehl <joerg.polzehl@wias-berlin.de>
Diff between aws versions 2.5-6 dated 2024-09-30 and 2.5-7 dated 2026-07-13
DESCRIPTION | 8 ++++---- MD5 | 16 ++++++++-------- build/partial.rdb |binary build/vignette.rds |binary inst/doc/aws-Example.R | 2 -- inst/doc/aws-Example.Rnw | 2 +- inst/doc/aws-Example.pdf |binary man/summary-methods.Rd | 7 ++----- vignettes/aws-Example.Rnw | 2 +- 9 files changed, 16 insertions(+), 21 deletions(-)
Title: Inference for Released Plug-in Sampling Synthetic Dataset
Description: Considering the singly imputed synthetic data generated via plug-in sampling under the multivariate normal model, draws inference procedures including the generalized variance, the sphericity test, the test for independence between two subsets of variables, and the test for the regression of one set of variables on the other. For more details see Klein et al. (2021) <doi:10.1007/s13571-019-00215-9>.
Author: Vitor Augusto [aut] ,
Mina Norouzirad [aut] ,
Miguel Fonseca [ctb] ,
Ricardo Moura [aut, cre, cph] ,
FCT, I.P. [fnd] )
Maintainer: Ricardo Moura <rp.moura@fct.unl.pt>
Diff between PSinference versions 0.2.2 dated 2024-12-10 and 1.0.0 dated 2026-07-13
PSinference-0.2.2/PSinference/R/Canodist.R |only PSinference-0.2.2/PSinference/R/GVdist.R |only PSinference-0.2.2/PSinference/R/Inddist.R |only PSinference-0.2.2/PSinference/R/Sphdist.R |only PSinference-0.2.2/PSinference/R/partition.R |only PSinference-0.2.2/PSinference/R/simSynthData.R |only PSinference-0.2.2/PSinference/R/utils.R |only PSinference-1.0.0/PSinference/DESCRIPTION | 39 +- PSinference-1.0.0/PSinference/MD5 | 69 +++- PSinference-1.0.0/PSinference/NAMESPACE | 41 +- PSinference-1.0.0/PSinference/NEWS.md | 4 PSinference-1.0.0/PSinference/R/data_documentation.R |only PSinference-1.0.0/PSinference/R/data_generation.R |only PSinference-1.0.0/PSinference/R/helper.R |only PSinference-1.0.0/PSinference/R/inference_functions.R |only PSinference-1.0.0/PSinference/R/mvn_test.R |only PSinference-1.0.0/PSinference/R/null_distributions.R |only PSinference-1.0.0/PSinference/R/original_data_test.R |only PSinference-1.0.0/PSinference/R/ps_test_class.R |only PSinference-1.0.0/PSinference/R/ps_test_wrapper.R |only PSinference-1.0.0/PSinference/R/utility_measures.R |only PSinference-1.0.0/PSinference/README.md | 40 ++ PSinference-1.0.0/PSinference/build |only PSinference-1.0.0/PSinference/data |only PSinference-1.0.0/PSinference/inst |only PSinference-1.0.0/PSinference/man/GVdist.Rd | 156 ++++----- PSinference-1.0.0/PSinference/man/Inddist.Rd | 153 +++------ PSinference-1.0.0/PSinference/man/Sphdist.Rd | 140 +++----- PSinference-1.0.0/PSinference/man/brittany_soil_ps.Rd |only PSinference-1.0.0/PSinference/man/canodist.Rd | 164 +++------- PSinference-1.0.0/PSinference/man/gv_ci.Rd |only PSinference-1.0.0/PSinference/man/gv_test.Rd |only PSinference-1.0.0/PSinference/man/independence_test.Rd |only PSinference-1.0.0/PSinference/man/is.ps_test.Rd |only PSinference-1.0.0/PSinference/man/mvn_test.Rd |only PSinference-1.0.0/PSinference/man/original_gv_test.Rd |only PSinference-1.0.0/PSinference/man/original_independence_test.Rd |only PSinference-1.0.0/PSinference/man/original_regression_test.Rd |only PSinference-1.0.0/PSinference/man/original_sphericity_test.Rd |only PSinference-1.0.0/PSinference/man/partition.Rd | 124 +++++-- PSinference-1.0.0/PSinference/man/plot.mvn_test.Rd |only PSinference-1.0.0/PSinference/man/plot.ps_test.Rd |only PSinference-1.0.0/PSinference/man/print.mvn_test.Rd |only PSinference-1.0.0/PSinference/man/print.original_test.Rd |only PSinference-1.0.0/PSinference/man/print.ps_test.Rd |only PSinference-1.0.0/PSinference/man/print.ps_utility.Rd |only PSinference-1.0.0/PSinference/man/ps_test-class.Rd |only PSinference-1.0.0/PSinference/man/ps_test.Rd |only PSinference-1.0.0/PSinference/man/regression_test.Rd |only PSinference-1.0.0/PSinference/man/simSynthData.Rd | 141 +++++--- PSinference-1.0.0/PSinference/man/sphericity_test.Rd |only PSinference-1.0.0/PSinference/man/summary.ps_test.Rd |only PSinference-1.0.0/PSinference/man/utility_measures.Rd |only PSinference-1.0.0/PSinference/vignettes |only 54 files changed, 577 insertions(+), 494 deletions(-)
Title: Efficient Bayesian Inference for Time-Varying Parameter Models
with Shrinkage
Description: Efficient Markov chain Monte Carlo (MCMC) algorithms for fully Bayesian estimation of time-varying parameter models with shrinkage priors, both dynamic and static. Details on the algorithms used are provided in Bitto and Frühwirth-Schnatter (2019) <doi:10.1016/j.jeconom.2018.11.006> and
Cadonna et al. (2020) <doi:10.3390/econometrics8020020> and Knaus and Frühwirth-Schnatter (2023) <doi:10.48550/arXiv.2312.10487>. For details on the package, please see Knaus et al. (2021) <doi:10.18637/jss.v100.i13>. For the multivariate extension, see the 'shrinkTVPVAR' package.
Author: Peter Knaus [aut, cre] ,
Angela Bitto-Nemling [aut],
Annalisa Cadonna [aut] ,
Sylvia Fruehwirth-Schnatter [aut] ,
Daniel Winkler [ctb],
Kemal Dingic [ctb]
Maintainer: Peter Knaus <peter.knaus@wu.ac.at>
Diff between shrinkTVP versions 3.1.1 dated 2026-01-08 and 3.1.2 dated 2026-07-13
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NEWS.md | 3 +++ inst/doc/shrinkTVP.pdf |binary vignettes/shrinkTVP.bib | 25 +++++++++++++++++++++++++ 5 files changed, 35 insertions(+), 7 deletions(-)
Title: The Symmetric Group: Permutations of a Finite Set
Description: Manipulates invertible functions from a finite set to
itself. Can transform from word form to cycle form and
back. To cite the package in publications please use
Hankin (2020) "Introducing the permutations R package",
SoftwareX, volume 11 <doi:10.1016/j.softx.2020.100453>.
Author: Robin K. S. Hankin [aut, cre] ,
Paul Egeler [ctb]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>
Diff between permutations versions 1.1-6 dated 2025-02-11 and 1.1-9-1 dated 2026-07-13
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Title: Read and Write 'jamovi' Files ('.omv')
Description: The free and open a statistical spreadsheet 'jamovi'
(<https://www.jamovi.org>) aims to make statistical analyses easy and
intuitive. 'jamovi' produces syntax that can directly be used in R (in
connection with the R-package 'jmv'). Having import / export routines for
the data files 'jamovi' produces ('.omv') permits an easy transfer of
data and analyses between 'jamovi' and R.
Author: Sebastian Jentschke [aut, cre, cph]
Maintainer: Sebastian Jentschke <sebastian.jentschke@uib.no>
Diff between jmvReadWrite versions 0.4.13 dated 2026-04-27 and 0.4.14 dated 2026-07-13
DESCRIPTION | 14 MD5 | 126 +-- NEWS.md | 9 R/aggregate_omv.R | 170 +--- R/arrange_cols_omv.R | 73 - R/combine_cols_omv.R | 66 - R/convert_to_omv.R | 6 R/describe_omv.R | 278 ++++--- R/distances_omv.R | 164 ++-- R/globals.R | 86 +- R/label_vars_omv.R | 57 - R/long2wide_omv.R | 97 +- R/merge_cols_omv.R | 46 - R/merge_rows_omv.R | 103 +- R/read_omv.R | 49 - R/replace_omv.R | 68 + R/search_omv.R | 36 R/sort_omv.R | 59 - R/transform_vars_omv.R | 82 +- R/transpose_omv.R | 35 R/wide2long_omv.R | 130 +-- R/write_omv.R | 47 - README.md | 8 build/vignette.rds |binary inst/CITATION | 2 inst/WORDLIST | 2 inst/doc/jmvReadWrite.R | 6 inst/doc/jmvReadWrite.Rmd | 6 inst/doc/jmvReadWrite.html | 12 man/aggregate_omv.Rd | 197 ++--- man/arrange_cols_omv.Rd | 67 - man/combine_cols_omv.Rd | 71 - man/convert_to_omv.Rd | 6 man/describe_omv.Rd | 171 ++-- man/distances_omv.Rd | 54 - man/label_vars_omv.Rd | 57 - man/long2wide_omv.Rd | 91 +- man/merge_cols_omv.Rd | 50 - man/merge_rows_omv.Rd | 87 +- man/replace_omv.Rd | 61 + man/search_omv.Rd | 38 man/sort_omv.Rd | 49 - man/transform_vars_omv.Rd | 68 - man/transpose_omv.Rd | 40 - man/wide2long_omv.Rd | 108 +- tests/testthat/test-aggregate_omv.R | 56 - tests/testthat/test-arrange_cols_omv.R | 63 - tests/testthat/test-combine_cols_omv.R | 42 - tests/testthat/test-describe_omv.R | 425 +++++------ tests/testthat/test-distances_omv.R | 1194 ++++++++++++++++--------------- tests/testthat/test-globals.R | 221 +++-- tests/testthat/test-label_vars_omv.R | 66 + tests/testthat/test-long2wide_omv.R | 217 +++-- tests/testthat/test-merge_cols_omv.R | 86 +- tests/testthat/test-merge_rows_omv.R | 41 - tests/testthat/test-read_omv.R | 253 +++--- tests/testthat/test-replace_omv.R | 78 +- tests/testthat/test-search_omv.R | 44 - tests/testthat/test-sort_omv.R | 61 - tests/testthat/test-transform_vars_omv.R | 255 +++--- tests/testthat/test-transpose_omv.R | 30 tests/testthat/test-wide2long_omv.R | 171 ++-- tests/testthat/test-write_omv.R | 260 +++--- vignettes/jmvReadWrite.Rmd | 6 64 files changed, 3558 insertions(+), 3063 deletions(-)
Title: Visual Diagnostic Checks for Vector Autoregressive Models
Description: Provides model-agnostic visual diagnostics for vector
autoregressive (VAR) models. Given empirical data, model predictions,
residuals, and optionally simulated data, the package assembles a
multi-panel diagnostic grid: empirical vs. predicted time series, residual
inspection, residuals vs. predictions scatter, and posterior predictive style
checks via simulated trajectories. Output is a 'patchwork' object composed
of 'ggplot2' plots, allowing further customisation via standard
'ggplot2' theme calls. Follows the approach described in
Haslbeck et al. (2026) <doi:10.31234/osf.io/k6uz4_v3>.
Author: Bjoern S. Siepe [aut, cre, cph] ,
Jonas M. B. Haslbeck [aut]
Maintainer: Bjoern S. Siepe <bjoernsiepe+software@gmail.com>
Diff between VARcheck versions 0.1.0 dated 2026-05-19 and 0.1.1 dated 2026-07-13
DESCRIPTION | 6 +++--- MD5 | 24 ++++++++++++------------ NEWS.md | 9 +++++++++ R/panels.R | 4 ++-- R/plot_var_check.R | 16 ++++++++++++---- R/plot_var_row.R | 2 +- inst/doc/example-analyses.R | 1 + inst/doc/example-analyses.Rmd | 1 + inst/doc/example-analyses.html | 12 ++++++------ inst/doc/getting-started.html | 17 ++++++++--------- man/plot_var_check.Rd | 7 ++++++- tests/testthat/test-plot_var_check.R | 5 +++++ vignettes/example-analyses.Rmd | 1 + 13 files changed, 67 insertions(+), 38 deletions(-)
Title: Heteroskedasticity-Consistent Inference for Linear Models
Description: Computes heteroskedasticity-consistent covariance matrix
estimators for ordinary least squares regression models. The published HC0
through HC5m estimators implemented in the package follow White (1980)
<doi:10.2307/1912934>, Hinkley (1977)
<doi:10.1080/00401706.1977.10489550>, Horn et al. (1975)
<doi:10.1080/01621459.1975.10479877>, MacKinnon and White (1985)
<doi:10.1016/0304-4076(85)90158-7>, Cribari-Neto (2004)
<doi:10.1016/S0167-9473(02)00366-3>, Cribari-Neto and da Silva
(2011) <doi:10.1007/s10182-010-0141-2>, Cribari-Neto et al. (2007)
<doi:10.1080/03610920601126589>, and Li et al. (2016)
<doi:10.1080/00949655.2016.1198906>. The package also includes HCbeta, a
new estimator proposed by the package authors. It provides normal Wald tests,
confidence intervals, diagnostics, and S3 output for applied inference.
Author: Pedro Rafael D. Marinho [aut, cre] ,
Francisco Cribari-Neto [aut] ,
Marina Oliveira Cunha [aut]
Maintainer: Pedro Rafael D. Marinho <pedro.rafael.marinho@gmail.com>
Diff between hcinfer versions 0.1.0 dated 2026-06-10 and 0.1.1 dated 2026-07-13
DESCRIPTION | 6 +- MD5 | 26 ++++++------ NEWS.md | 5 +- R/data.R | 67 +++++++++++++++++++++++++++---- README.md | 25 +++++++---- data/PublicSchools.rda |binary data/PublicSchools2.rda |only inst/doc/hcinfer-hcbeta.html | 28 ++++++------ man/PublicSchools.Rd | 18 ++++---- man/PublicSchools2.Rd |only man/figures/README-unnamed-chunk-5-1.png |binary man/figures/README-unnamed-chunk-6-1.png |binary man/hcinfer-package.Rd | 1 tests/testthat/helper-data.R | 1 tests/testthat/test-data.R | 53 ++++++++++++++++++++++++ 15 files changed, 176 insertions(+), 54 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 1.7.0 dated 2026-07-10 and 1.7.0.1 dated 2026-07-13
DESCRIPTION | 8 +-- MD5 | 24 +++++------ R/GPModel.R | 66 ++++++++++++++++++++++++++++++-- configure | 10 ++-- configure.ac | 10 ++-- man/GPModel.Rd | 5 +- man/GPModel_shared_params.Rd | 29 +++++++++++++- man/fitGPModel.Rd | 5 +- src/include/GPBoost/likelihoods.h | 6 +- src/include/GPBoost/re_model.h | 3 - src/include/GPBoost/re_model_template.h | 17 ++++---- src/include/LightGBM/c_api.h | 3 - src/re_model.cpp | 7 ++- 13 files changed, 148 insertions(+), 45 deletions(-)
Title: Securely Wrangle Dataset According to Data Usage Agreement
Description: Create shareable data sets from raw data files that
contain protected elements. Relying on master crosswalk
files that list restricted variables, package functions
warn users about possible violations of data usage
agreement and prevent writing protected elements.
Author: Benjamin Skinner [aut, cre]
Maintainer: Benjamin Skinner <ben@btskinner.io>
Diff between duawranglr versions 0.6.7 dated 2021-04-15 and 0.6.8 dated 2026-07-13
DESCRIPTION | 31 - MD5 | 22 - NAMESPACE | 1 NEWS.md | 4 R/duawrangler.R | 6 build/vignette.rds |binary inst/doc/duawranglr.Rmd | 2 inst/doc/duawranglr.html | 292 +++++++++++++- inst/doc/securing_data.R | 74 +-- inst/doc/securing_data.html | 865 +++++++++++++++++++++++++++++--------------- man/duawranglr.Rd | 19 vignettes/duawranglr.Rmd | 2 12 files changed, 940 insertions(+), 378 deletions(-)
Title: Continuous Time Structural Equation Modelling
Description: Hierarchical continuous (and discrete) time state space modelling, for linear
and nonlinear systems measured by continuous variables, with limited support for
binary data. The subject specific dynamic system is modelled as a stochastic
differential equation (SDE) or difference equation, measurement models are typically multivariate normal factor models.
Linear mixed effects SDE's estimated via maximum likelihood and optimization are the default.
Nonlinearities, (state dependent parameters) and random effects on all parameters
are possible, using either max likelihood / max a posteriori optimization
(with optional importance sampling) or Stan's Hamiltonian Monte Carlo sampling.
See <https://github.com/cdriveraus/ctsem/raw/master/vignettes/hierarchicalmanual.pdf>
for details. See <https://osf.io/preprints/psyarxiv/4q9ex_v2> for a detailed tutorial.
Priors may be used. For the conceptual overview of the hierarchical Bayesian
linear SDE approach,
see <https://www.research [...truncated...]
Author: Charles Driver [aut, cre, cph],
Manuel Voelkle [aut, cph],
Han Oud [aut, cph],
Trustees of Columbia University [cph]
Maintainer: Charles Driver <charles.driver2@uzh.ch>
Diff between ctsem versions 3.11.0 dated 2026-06-30 and 3.11.1 dated 2026-07-13
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Title: Core Functions to Read and Fit 13c Time Series from Breath Tests
Description: Reads several formats of 13C data (IRIS/Wagner,
BreathID) and CSV. Creates artificial sample data for testing. Fits
Maes/Ghoos, Bluck-Coward self-correcting formula using 'nls', 'nlme'.
Methods to fit breath test curves with Bayesian Stan methods are
refactored to package 'breathteststan'. For a Shiny GUI, see package
'dmenne/breathtestshiny' on github.
Author: Dieter Menne [aut, cre],
Menne Biomed Consulting Tuebingen [cph],
Benjamin Misselwitz [fnd],
Mark Fox [fnd],
Andreas Steingoetter [dtc],
University Hospital of Zurich, Dep. Gastroenterology [fnd, dtc]
Maintainer: Dieter Menne <dieter.menne@menne-biomed.de>
Diff between breathtestcore versions 0.8.10 dated 2025-10-28 and 0.8.11 dated 2026-07-13
DESCRIPTION | 8 MD5 | 164 ++++++++++---------- R/breathtest_data.R | 100 ++++++------ R/breathtest_parameters.R | 77 ++++----- R/breathtest_read_function.R | 33 ++-- R/breathtestcore-package.R | 8 R/breathtestcore.R | 59 +++---- R/breathtestfit_broom.R | 103 +++++++----- R/btcore_file.R | 11 - R/cleanup_data.R | 203 ++++++++++++++---------- R/coef_breathtestfit.R | 34 ++-- R/coef_by_group.R | 108 +++++++------ R/coef_diff_by_group.R | 125 ++++++++------- R/dob_to_pdr.R | 48 +++-- R/exp_beta.R | 47 +++-- R/nlme_fit.R | 89 ++++++---- R/nls_fit.R | 127 +++++++++------ R/null_fit.R | 13 - R/plot_breathtestfit.R | 205 +++++++++++++++---------- R/read_any_breathtest.R | 29 +-- R/read_breathid.R | 56 ++++-- R/read_breathid_xml.R | 103 ++++++------ R/read_breathtest_excel.R | 58 ++++--- R/read_iris.R | 62 ++++--- R/read_iris_csv.R | 94 +++++++---- R/sigma.R | 17 -- R/simulate_breathtest_data.R | 165 +++++++++++++------- R/subsample_data.R | 45 +++-- build/vignette.rds |binary inst/doc/data_formats.html | 10 - inst/doc/methods_and_concepts.R | 4 inst/doc/methods_and_concepts.Rmd | 4 inst/doc/methods_and_concepts.html | 12 - man/augment.breathtestfit.Rd | 12 - man/breathtest_data.Rd | 26 +-- man/breathtest_read_function.Rd | 6 man/btcore_file.Rd | 4 man/cleanup_data.Rd | 34 ++-- man/coef.breathtestfit.Rd | 8 man/coef_by_group.Rd | 14 - man/dob_to_pdr.Rd | 6 man/exp_beta.Rd | 10 - man/extract_id.Rd | 4 man/nlme_fit.Rd | 14 - man/nls_fit.Rd | 24 +- man/null_fit.Rd | 6 man/plot.breathtestfit.Rd | 6 man/read_any_breathtest.Rd | 4 man/read_breathid.Rd | 2 man/read_breathtest_excel.Rd | 14 - man/read_iris.Rd | 2 man/read_iris_csv.Rd | 6 man/sigma.breathtestnlmefit.Rd | 2 man/simulate_breathtest_data.Rd | 8 man/subsample_data.Rd | 8 man/t50_bluck_coward.Rd | 22 +- man/t50_maes_ghoos.Rd | 6 man/t50_maes_ghoos_scintigraphy.Rd | 6 man/tidy.breathtestfit.Rd | 6 man/tlag_maes_ghoos.Rd | 6 man/usz_13c.Rd | 4 man/usz_13c_a.Rd | 4 man/usz_13c_d.Rd | 22 +- tests/testthat/test_breathtest_parameters.R | 31 +-- tests/testthat/test_breathtest_read_function.R | 34 ++-- tests/testthat/test_broom.R | 6 tests/testthat/test_cleanup_data.R | 147 +++++++++++------ tests/testthat/test_coef_by_group.R | 85 +++++++--- tests/testthat/test_coef_diff_by_group.R | 81 ++++++--- tests/testthat/test_exp_beta.R | 9 - tests/testthat/test_nlme_fit.R | 74 ++++++--- tests/testthat/test_nls_fit.R | 24 +- tests/testthat/test_plot_breathtestfit.R | 42 ++--- tests/testthat/test_read_any_breathtest.R | 22 +- tests/testthat/test_read_breathid.R | 16 + tests/testthat/test_read_breathid_xml.R | 8 tests/testthat/test_read_excel.R | 61 ++++--- tests/testthat/test_read_iris.R | 53 +++--- tests/testthat/test_read_iris_csv.R | 14 - tests/testthat/test_simulate_breathtest_data.R | 29 ++- tests/testthat/test_subsample_data.R | 10 - tests/testthat/test_usz_13c.R | 32 +-- vignettes/methods_and_concepts.Rmd | 4 83 files changed, 1904 insertions(+), 1395 deletions(-)
More information about breathtestcore at CRAN
Permanent link
Title: Rapid Asynchronous and Distributed Computing
Description: Package to tackle large-scale problems asynchronously across
a distributed network. Employing a database centric model, rush
enables workers to communicate tasks and their results over a shared
'Redis' database. Key features include low task overhead, efficient
caching, and robust error handling. The package powers the
asynchronous optimization algorithms in the 'bbotk' and 'mlr3tuning'
packages.
Author: Marc Becker [cre, aut, cph]
Maintainer: Marc Becker <marcbecker@posteo.de>
Diff between rush versions 1.1.0 dated 2026-04-24 and 1.2.0 dated 2026-07-13
rush-1.1.0/rush/man/filter_custom_fields.Rd |only rush-1.2.0/rush/DESCRIPTION | 13 rush-1.2.0/rush/MD5 | 59 rush-1.2.0/rush/NAMESPACE | 2 rush-1.2.0/rush/NEWS.md | 75 rush-1.2.0/rush/R/AppenderRedis.R | 49 rush-1.2.0/rush/R/Rush.R | 804 +++++----- rush-1.2.0/rush/R/RushWorker.R | 235 ++ rush-1.2.0/rush/R/assertions.R | 24 rush-1.2.0/rush/R/heartbeat_loops.R | 2 rush-1.2.0/rush/R/helper.R | 16 rush-1.2.0/rush/R/lua_scripts.R |only rush-1.2.0/rush/R/rush_plan.R | 19 rush-1.2.0/rush/R/start_worker.R | 46 rush-1.2.0/rush/R/store_large_object.R | 15 rush-1.2.0/rush/R/zzz.R | 15 rush-1.2.0/rush/README.md | 22 rush-1.2.0/rush/inst/testthat/helper.R | 11 rush-1.2.0/rush/man/AppenderRedis.Rd | 133 - rush-1.2.0/rush/man/Rush.Rd | 1568 +++++++++----------- rush-1.2.0/rush/man/RushWorker.Rd | 331 ++-- rush-1.2.0/rush/man/heartbeat.Rd | 8 rush-1.2.0/rush/man/rush-package.Rd | 26 rush-1.2.0/rush/man/rush_plan.Rd | 13 rush-1.2.0/rush/man/start_worker.Rd | 22 rush-1.2.0/rush/man/store_large_object.Rd | 7 rush-1.2.0/rush/tests/testthat/helper.R | 35 rush-1.2.0/rush/tests/testthat/test-AppenderRedis.R | 9 rush-1.2.0/rush/tests/testthat/test-Rush.R | 445 +++++ rush-1.2.0/rush/tests/testthat/test-RushWorker.R | 193 +- rush-1.2.0/rush/tests/testthat/test-rush_plan.R | 17 rush-1.2.0/rush/tests/testthat/test-start_worker.R |only 32 files changed, 2596 insertions(+), 1618 deletions(-)
Title: Processing and Transforming Relational Event History Data
Description: Efficiently processes relational event history data and transforms them into formats suitable for other packages. The primary objective of this package is to convert event history data into a format that integrates with the packages in 'remverse' and is compatible with various analytical tools (e.g., computing network statistics, estimating tie-oriented or actor-oriented social network models). Second, it can also transform the data into formats compatible with other packages out of 'remverse'. The package processes the data for two types of temporal social network models: tie-oriented modeling framework (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>) and actor-oriented modeling framework (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>).
Author: Giuseppe Arena [aut, cre] ,
Joris Mulder [aut],
Rumana Lakdawala [ctb],
Marlyne Meijerink-Bosman [ctb],
Diana Karimova [ctb],
Fabio Generoso Vieira [ctb],
Mahdi Shafiee Kamalabad [ctb],
Roger Leenders [ctb]
Maintainer: Giuseppe Arena <g.arena@uva.nl>
Diff between remify versions 4.0.0 dated 2026-05-04 and 4.1.0 dated 2026-07-13
remify-4.0.0/remify/inst/tinytest/test-remify2-thin.R |only remify-4.1.0/remify/DESCRIPTION | 8 remify-4.1.0/remify/MD5 | 59 - remify-4.1.0/remify/NAMESPACE | 3 remify-4.1.0/remify/NEWS.md | 5 remify-4.1.0/remify/R/data.R | 5 remify-4.1.0/remify/R/plot.remify.R |only remify-4.1.0/remify/R/remify2.R | 398 ++++--- remify-4.1.0/remify/R/remify_durem.R |only remify-4.1.0/remify/R/remify_util.R | 562 ---------- remify-4.1.0/remify/R/summary_remify.R | 12 remify-4.1.0/remify/inst/datasets |only remify-4.1.0/remify/inst/doc/remify.R | 2 remify-4.1.0/remify/inst/doc/remify.Rmd | 10 remify-4.1.0/remify/inst/doc/remify.html | 32 remify-4.1.0/remify/inst/doc/riskset.R | 2 remify-4.1.0/remify/inst/doc/riskset.Rmd | 10 remify-4.1.0/remify/inst/doc/riskset.html | 26 remify-4.1.0/remify/inst/tinytest/simple-tests.R | 4 remify-4.1.0/remify/inst/tinytest/test-remify-durem.R |only remify-4.1.0/remify/inst/tinytest/test-remify-methods2.R | 25 remify-4.1.0/remify/inst/tinytest/test-remify2-actor.R | 12 remify-4.1.0/remify/inst/tinytest/test-remify2-aggregate_time.R |only remify-4.1.0/remify/inst/tinytest/test-remify2-typed-events.R | 4 remify-4.1.0/remify/inst/tinytest/test-summary-remify.R | 18 remify-4.1.0/remify/inst/tinytest/tests_remify2.R | 7 remify-4.1.0/remify/man/dot-durem_normalize_edgelist.Rd |only remify-4.1.0/remify/man/dot-remify_durem_init.Rd |only remify-4.1.0/remify/man/history.Rd | 7 remify-4.1.0/remify/man/is.remify_durem.Rd |only remify-4.1.0/remify/man/plot.remify.Rd | 56 remify-4.1.0/remify/man/print.remify_durem.Rd |only remify-4.1.0/remify/man/remify.Rd | 93 + remify-4.1.0/remify/man/summary.remify_durem.Rd |only remify-4.1.0/remify/vignettes/remify.Rmd | 10 remify-4.1.0/remify/vignettes/riskset.Rmd | 10 36 files changed, 487 insertions(+), 893 deletions(-)
Title: Correction of Heaping on Individual Level
Description: Provides methods for correcting heaping (digit preference) in
survey data at the individual record level. Age heaping, where respondents
disproportionately report ages ending in 0 or 5, is a common phenomenon that
can distort demographic analyses. Unlike traditional smoothing methods that
only correct aggregated statistics, this package corrects individual values
by replacing a calculated proportion of heaped observations with draws from
fitted truncated distributions (log-normal, normal, or uniform). Supports
5-year and 10-year heaping patterns, single heap correction, survey
weights, and optional covariate-conditional (model-based) correction via
quantile regression forests or linear models to preserve relationships. A
multiple-imputation wrapper repeats the correction to propagate the added
uncertainty into downstream inference.
Author: Matthias Templ [aut, cre] ,
Bernhard Meindl [ctb]
Maintainer: Matthias Templ <matthias.templ@gmail.com>
Diff between heaping versions 0.1.0 dated 2026-02-09 and 0.2.0 dated 2026-07-13
DESCRIPTION | 13 MD5 | 27 - NAMESPACE | 2 NEWS.md |only R/correctHeap.R | 582 +++++++++----------------- R/correctHeapsMI.R |only R/heaping-package.R | 30 - R/impute-model.R |only inst/doc/heaping-intro.html | 755 +++++++++++++++++------------------ man/correctHeaps.Rd | 73 ++- man/correctHeapsMI.Rd |only man/correctSingleHeap.Rd | 16 man/heaping-package.Rd | 30 - tests/testthat/test-conditional.R |only tests/testthat/test-correctHeaps.R | 56 ++ tests/testthat/test-correctHeapsMI.R |only tests/testthat/test-heap-ratios.R |only tests/testthat/test-marginal.R |only tests/testthat/test-select.R |only 19 files changed, 771 insertions(+), 813 deletions(-)
Title: Fuzzy Statistical Tools
Description: The main goal of this package is to present various fuzzy statistical tools. It intends to provide an implementation of the theoretical and empirical approaches presented in the book entitled "The signed distance measure in fuzzy statistical analysis. Some theoretical, empirical and programming advances" <doi: 10.1007/978-3-030-76916-1>. For the theoretical approaches, see Berkachy R. and Donze L. (2019) <doi:10.1007/978-3-030-03368-2_1>. For the empirical approaches, see Berkachy R. and Donze L. (2016) <ISBN: 978-989-758-201-1>). Important (non-exhaustive) implementation highlights of this package are as follows: (1) a numerical procedure to estimate the fuzzy difference and the fuzzy square. (2) two numerical methods of fuzzification. (3) a function performing different possibilities of distances, including the signed distance and the generalized signed distance for instance with all its properties. (4) numerical estimations of fuzzy statistical measures such as the [...truncated...]
Author: Redina Berkachy [aut, cre] ,
Laurent Donze [aut]
Maintainer: Redina Berkachy <redina.berkachy@hefr.ch>
Diff between FuzzySTs versions 0.4 dated 2025-07-31 and 0.5 dated 2026-07-13
DESCRIPTION | 8 ++++---- MD5 | 28 ++++++++++++++++++---------- NAMESPACE | 5 +++++ NEWS.md | 9 +++++++-- R/PRM_13072026.R |only README.md | 2 +- build/partial.rdb |only build/vignette.rds |binary inst/doc/Vignette_A.html | 7 ++++--- inst/doc/Vignette_B.html | 7 ++++--- inst/doc/Vignette_C.html | 35 ++++++++++++++++++----------------- inst/doc/Vignette_D.html | 1 + inst/doc/Vignette_E.html | 1 + man/FuzzySTs-package.Rd |only man/prm_polygon.Rd |only man/prm_trapezoid.Rd |only man/prm_triangle.Rd |only man/summary_prm.Rd |only man/summary_prm_scores.Rd |only 19 files changed, 63 insertions(+), 40 deletions(-)
Title: Access the 'CDC PLACES' API
Description: Allows users to seamlessly query several 'CDC PLACES' APIs (<https://data.cdc.gov/browse?q=PLACES%20&sortBy=relevance>)
by geography, state, measure, and release year. This package also contains a
function to explore the available measures for each release year.
Author: Brenden Smith [aut, cre]
Maintainer: Brenden Smith <smit2535@msu.edu>
Diff between CDCPLACES versions 1.2.1 dated 2026-05-22 and 1.2.2 dated 2026-07-13
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- NEWS.md | 7 +++++++ R/get_places.R | 10 +++++----- R/sysdata.rda |binary 5 files changed, 20 insertions(+), 13 deletions(-)
Title: Nonparametric Bounds for the Average Causal Effect Due to Balke
and Pearl and Extensions
Description: Implementation of the nonparametric bounds for the average
causal effect under an instrumental variable model by Balke and Pearl
(Bounds on Treatment Effects from Studies with Imperfect Compliance,
JASA, 1997, 92, 439, 1171-1176, <doi:10.1080/01621459.1997.10474074>). The package
can calculate bounds for a binary outcome, a binary
treatment/phenotype, and an instrument with either 2 or 3 categories.
The package implements bounds for situations where these 3 variables
are measured in the same dataset (trivariate data) or where the
outcome and instrument are measured in one study and the
treatment/phenotype and instrument are measured in another study
(bivariate data).
Author: Tom Palmer [aut, cre] ,
Roland Ramsahai [aut] ,
Vanessa Didelez [aut] ,
Nuala Sheehan [aut]
Maintainer: Tom Palmer <remlapmot@hotmail.com>
Diff between bpbounds versions 0.1.7 dated 2026-05-24 and 0.1.8 dated 2026-07-13
DESCRIPTION | 6 +- MD5 | 30 ++++++------ NEWS.md | 16 ++++++ R/bpbounds.R | 13 +++++ R/bpbounds_calc_biv_z2.R | 26 ++++++---- R/bpbounds_calc_biv_z3.R | 22 +++++--- R/bpbounds_calc_tri_z2.R | 6 ++ R/bpbounds_calc_tri_z3.R | 8 ++- R/bpbounds_tri_x2y2z3.R | 4 + build/partial.rdb |binary build/vignette.rds |binary inst/doc/bpbounds.Rmd | 5 -- inst/doc/bpbounds.html | 25 ++++------ inst/shiny-examples/myapp/app.R | 65 ++++++++++---------------- tests/testthat/test-bpbounds.R | 100 +++++++++++++++++++++++++++++++--------- vignettes/bpbounds.Rmd | 5 -- 16 files changed, 216 insertions(+), 115 deletions(-)
Title: A Docking Layout Manager for 'blockr'
Description: Building on the docking layout manager provided by 'dockViewR',
this provides a flexible front-end to 'blockr.core'. It provides an extension mechanism which allows for providing means to manipulate a board
object via panel-based user interface components.
Author: Nicolas Bennett [aut, cre],
David Granjon [aut]
Maintainer: Nicolas Bennett <nicolas@cynkra.com>
Diff between blockr.dock versions 0.1.1 dated 2026-04-29 and 0.1.2 dated 2026-07-13
blockr.dock-0.1.1/blockr.dock/R/action-modal.R |only blockr.dock-0.1.1/blockr.dock/R/layout-class.R |only blockr.dock-0.1.1/blockr.dock/R/layouts-class.R |only blockr.dock-0.1.1/blockr.dock/R/utils-id.R |only blockr.dock-0.1.1/blockr.dock/R/view-ui.R |only blockr.dock-0.1.1/blockr.dock/man/panel.Rd |only blockr.dock-0.1.1/blockr.dock/tests/testthat/_snaps/utils-serve |only blockr.dock-0.1.1/blockr.dock/vignettes/mermaid |only blockr.dock-0.1.2/blockr.dock/DESCRIPTION | 31 blockr.dock-0.1.2/blockr.dock/MD5 | 177 - blockr.dock-0.1.2/blockr.dock/NAMESPACE | 105 blockr.dock-0.1.2/blockr.dock/NEWS.md | 121 + blockr.dock-0.1.2/blockr.dock/R/action-block.R | 381 --- blockr.dock-0.1.2/blockr.dock/R/action-class.R | 15 blockr.dock-0.1.2/blockr.dock/R/action-link.R | 127 - blockr.dock-0.1.2/blockr.dock/R/action-stack.R | 267 +- blockr.dock-0.1.2/blockr.dock/R/action-utils.R | 16 blockr.dock-0.1.2/blockr.dock/R/block-meta.R | 13 blockr.dock-0.1.2/blockr.dock/R/block-ui.R | 25 blockr.dock-0.1.2/blockr.dock/R/board-plugins.R | 5 blockr.dock-0.1.2/blockr.dock/R/board-server.R | 1059 +++++----- blockr.dock-0.1.2/blockr.dock/R/board-ui.R | 196 + blockr.dock-0.1.2/blockr.dock/R/dock-board.R | 361 ++- blockr.dock-0.1.2/blockr.dock/R/dock-grid.R |only blockr.dock-0.1.2/blockr.dock/R/dock-layout.R |only blockr.dock-0.1.2/blockr.dock/R/dock-stack.R | 19 blockr.dock-0.1.2/blockr.dock/R/dock-view.R |only blockr.dock-0.1.2/blockr.dock/R/ext-class.R | 193 + blockr.dock-0.1.2/blockr.dock/R/ext-delta.R |only blockr.dock-0.1.2/blockr.dock/R/ext-edit.R | 766 ++++++- blockr.dock-0.1.2/blockr.dock/R/ext-ui.R | 20 blockr.dock-0.1.2/blockr.dock/R/panel-id.R |only blockr.dock-0.1.2/blockr.dock/R/panel-ops.R |only blockr.dock-0.1.2/blockr.dock/R/panel-ref.R |only blockr.dock-0.1.2/blockr.dock/R/plugin-block.R | 370 ++- blockr.dock-0.1.2/blockr.dock/R/sidebar-block.R |only blockr.dock-0.1.2/blockr.dock/R/sidebar-link.R |only blockr.dock-0.1.2/blockr.dock/R/sidebar-server.R |only blockr.dock-0.1.2/blockr.dock/R/sidebar-stack.R |only blockr.dock-0.1.2/blockr.dock/R/utils-dock.R | 136 + blockr.dock-0.1.2/blockr.dock/R/utils-misc.R | 21 blockr.dock-0.1.2/blockr.dock/R/utils-serdes.R | 127 - blockr.dock-0.1.2/blockr.dock/R/utils-serve.R | 51 blockr.dock-0.1.2/blockr.dock/R/utils-ui.R | 110 - blockr.dock-0.1.2/blockr.dock/README.md | 27 blockr.dock-0.1.2/blockr.dock/build/vignette.rds |binary blockr.dock-0.1.2/blockr.dock/inst/assets/css/blockr-dock.css | 229 ++ blockr.dock-0.1.2/blockr.dock/inst/assets/css/sidebar-block.css |only blockr.dock-0.1.2/blockr.dock/inst/assets/css/sidebar-link.css |only blockr.dock-0.1.2/blockr.dock/inst/assets/css/sidebar-server.css |only blockr.dock-0.1.2/blockr.dock/inst/assets/css/sidebar-stack.css |only blockr.dock-0.1.2/blockr.dock/inst/assets/js/sidebar-block.js |only blockr.dock-0.1.2/blockr.dock/inst/assets/js/sidebar-link.js |only blockr.dock-0.1.2/blockr.dock/inst/assets/js/sidebar-server.js |only blockr.dock-0.1.2/blockr.dock/inst/assets/js/sidebar-stack.js |only blockr.dock-0.1.2/blockr.dock/inst/assets/js/view-binding.js | 87 blockr.dock-0.1.2/blockr.dock/inst/doc/layouts.R | 125 - blockr.dock-0.1.2/blockr.dock/inst/doc/layouts.Rmd | 522 +++- blockr.dock-0.1.2/blockr.dock/inst/doc/layouts.html | 692 ++++-- blockr.dock-0.1.2/blockr.dock/inst/examples/edit-add |only blockr.dock-0.1.2/blockr.dock/inst/examples/edit-board |only blockr.dock-0.1.2/blockr.dock/inst/examples/locked-dock/app.R | 5 blockr.dock-0.1.2/blockr.dock/inst/examples/multi-view |only blockr.dock-0.1.2/blockr.dock/inst/examples/serdes |only blockr.dock-0.1.2/blockr.dock/inst/examples/single-page/app.R | 5 blockr.dock-0.1.2/blockr.dock/inst/examples/sized-grid |only blockr.dock-0.1.2/blockr.dock/inst/examples/views/app.R | 23 blockr.dock-0.1.2/blockr.dock/man/action.Rd | 8 blockr.dock-0.1.2/blockr.dock/man/dock-grid.Rd |only blockr.dock-0.1.2/blockr.dock/man/dock-layout.Rd |only blockr.dock-0.1.2/blockr.dock/man/dock.Rd | 64 blockr.dock-0.1.2/blockr.dock/man/extension.Rd | 31 blockr.dock-0.1.2/blockr.dock/man/figures/views.png |binary blockr.dock-0.1.2/blockr.dock/man/ids.Rd | 16 blockr.dock-0.1.2/blockr.dock/man/layout.Rd | 118 - 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Title: Optimize PTSD Diagnostic Criteria
Description: Provides tools for analyzing and optimizing PTSD (Post-Traumatic
Stress Disorder) diagnostic criteria using PCL-5 (PTSD Checklist for DSM-5)
and CAPS-5 (Clinician-Administered PTSD Scale for DSM-5) data. Functions identify optimal subsets of PCL-5 items that maintain
diagnostic accuracy while reducing assessment burden. Includes tools for
both hierarchical (cluster-based) and non-hierarchical symptom combinations,
calculation of diagnostic metrics, and comparison with standard DSM-5
criteria. Model validation is conducted using holdout and cross-validation
methods to assess robustness and generalizability of the results. For more
details see Weidmann et al. (2025) <doi:10.31219/osf.io/6rk72_v1>.
Author: Laura Weidmann [aut] ,
Tobias R. Spiller [aut, cre] ,
Flavio A. Schueepp [aut]
Maintainer: Tobias R. Spiller <tobias.spiller@access.uzh.ch>
Diff between PTSDdiag versions 0.1.0 dated 2026-02-13 and 0.4.1 dated 2026-07-13
PTSDdiag-0.1.0/PTSDdiag/inst/doc/introduction.R |only PTSDdiag-0.1.0/PTSDdiag/inst/doc/introduction.Rmd |only PTSDdiag-0.1.0/PTSDdiag/inst/doc/introduction.html |only PTSDdiag-0.1.0/PTSDdiag/vignettes/introduction.Rmd |only PTSDdiag-0.4.1/PTSDdiag/DESCRIPTION | 21 PTSDdiag-0.4.1/PTSDdiag/MD5 | 119 + PTSDdiag-0.4.1/PTSDdiag/NAMESPACE | 22 PTSDdiag-0.4.1/PTSDdiag/NEWS.md | 455 +++++ PTSDdiag-0.4.1/PTSDdiag/R/alternative_criteria.R |only PTSDdiag-0.4.1/PTSDdiag/R/analysis.R | 793 +++++----- PTSDdiag-0.4.1/PTSDdiag/R/apply_combinations.R |only PTSDdiag-0.4.1/PTSDdiag/R/compare_optimizations.R |only PTSDdiag-0.4.1/PTSDdiag/R/data_preparation.R | 312 +++ PTSDdiag-0.4.1/PTSDdiag/R/definitions.R |only PTSDdiag-0.4.1/PTSDdiag/R/helping_functions.R | 162 -- PTSDdiag-0.4.1/PTSDdiag/R/internals.R |only PTSDdiag-0.4.1/PTSDdiag/R/io_combinations.R |only PTSDdiag-0.4.1/PTSDdiag/R/scenario_plots.R |only PTSDdiag-0.4.1/PTSDdiag/R/scenario_tables.R |only PTSDdiag-0.4.1/PTSDdiag/R/score_all_combinations.R |only PTSDdiag-0.4.1/PTSDdiag/R/scoring_and_diagnosis.R | 85 - PTSDdiag-0.4.1/PTSDdiag/R/simulated_ptsd.R | 16 PTSDdiag-0.4.1/PTSDdiag/R/simulated_ptsd_genpop.R |only PTSDdiag-0.4.1/PTSDdiag/R/validation.R | 557 +++---- PTSDdiag-0.4.1/PTSDdiag/README.md | 55 PTSDdiag-0.4.1/PTSDdiag/build/vignette.rds |binary PTSDdiag-0.4.1/PTSDdiag/data/simulated_ptsd.rda |binary PTSDdiag-0.4.1/PTSDdiag/data/simulated_ptsd_genpop.rda |only PTSDdiag-0.4.1/PTSDdiag/inst/CITATION |only PTSDdiag-0.4.1/PTSDdiag/inst/doc/caps5-workflow.R |only PTSDdiag-0.4.1/PTSDdiag/inst/doc/caps5-workflow.Rmd |only PTSDdiag-0.4.1/PTSDdiag/inst/doc/caps5-workflow.html |only PTSDdiag-0.4.1/PTSDdiag/inst/doc/comparing-criteria.R |only PTSDdiag-0.4.1/PTSDdiag/inst/doc/comparing-criteria.Rmd |only PTSDdiag-0.4.1/PTSDdiag/inst/doc/comparing-criteria.html |only PTSDdiag-0.4.1/PTSDdiag/inst/doc/getting-started.R |only PTSDdiag-0.4.1/PTSDdiag/inst/doc/getting-started.Rmd |only PTSDdiag-0.4.1/PTSDdiag/inst/doc/getting-started.html |only PTSDdiag-0.4.1/PTSDdiag/inst/doc/multi-site-validation.R |only PTSDdiag-0.4.1/PTSDdiag/inst/doc/multi-site-validation.Rmd |only PTSDdiag-0.4.1/PTSDdiag/inst/doc/multi-site-validation.html |only PTSDdiag-0.4.1/PTSDdiag/inst/doc/validation.R |only PTSDdiag-0.4.1/PTSDdiag/inst/doc/validation.Rmd |only PTSDdiag-0.4.1/PTSDdiag/inst/doc/validation.html |only PTSDdiag-0.4.1/PTSDdiag/man/analyze_best_six_symptoms_four_required.Rd | 49 PTSDdiag-0.4.1/PTSDdiag/man/analyze_best_six_symptoms_four_required_clusters.Rd | 50 PTSDdiag-0.4.1/PTSDdiag/man/apply_symptom_combinations.Rd |only PTSDdiag-0.4.1/PTSDdiag/man/as_definitions.Rd |only PTSDdiag-0.4.1/PTSDdiag/man/check_pcl5_data.Rd |only PTSDdiag-0.4.1/PTSDdiag/man/compare_diagnostic_systems.Rd |only PTSDdiag-0.4.1/PTSDdiag/man/compare_optimizations.Rd |only PTSDdiag-0.4.1/PTSDdiag/man/create_caps5_diagnosis.Rd |only PTSDdiag-0.4.1/PTSDdiag/man/create_icd11_diagnosis.Rd |only PTSDdiag-0.4.1/PTSDdiag/man/create_ptsd_diagnosis_nonbinarized.Rd | 6 PTSDdiag-0.4.1/PTSDdiag/man/create_readable_summary.Rd | 13 PTSDdiag-0.4.1/PTSDdiag/man/cross_validation.Rd | 89 - PTSDdiag-0.4.1/PTSDdiag/man/evaluate_definitions.Rd |only PTSDdiag-0.4.1/PTSDdiag/man/extract_definitions.Rd |only PTSDdiag-0.4.1/PTSDdiag/man/holdout_validation.Rd | 75 PTSDdiag-0.4.1/PTSDdiag/man/optimize_combinations.Rd |only PTSDdiag-0.4.1/PTSDdiag/man/optimize_combinations_clusters.Rd |only PTSDdiag-0.4.1/PTSDdiag/man/plot_symptom_frequency.Rd |only PTSDdiag-0.4.1/PTSDdiag/man/print.ptsdiag_comparison.Rd |only PTSDdiag-0.4.1/PTSDdiag/man/read_combinations.Rd |only PTSDdiag-0.4.1/PTSDdiag/man/rename_caps5_columns.Rd |only PTSDdiag-0.4.1/PTSDdiag/man/rename_ptsd_columns.Rd | 30 PTSDdiag-0.4.1/PTSDdiag/man/score_all_combinations.Rd |only PTSDdiag-0.4.1/PTSDdiag/man/simulated_ptsd.Rd | 17 PTSDdiag-0.4.1/PTSDdiag/man/simulated_ptsd_genpop.Rd |only PTSDdiag-0.4.1/PTSDdiag/man/summarize_ptsd.Rd | 4 PTSDdiag-0.4.1/PTSDdiag/man/summarize_ptsd_changes.Rd | 5 PTSDdiag-0.4.1/PTSDdiag/man/summarize_top_combinations.Rd |only PTSDdiag-0.4.1/PTSDdiag/man/symptom_frequency.Rd |only PTSDdiag-0.4.1/PTSDdiag/man/write_combinations.Rd |only PTSDdiag-0.4.1/PTSDdiag/tests/testthat/test-alternative_criteria.R |only PTSDdiag-0.4.1/PTSDdiag/tests/testthat/test-analysis.R | 293 +++ PTSDdiag-0.4.1/PTSDdiag/tests/testthat/test-balanced_accuracy.R |only PTSDdiag-0.4.1/PTSDdiag/tests/testthat/test-compare_optimizations.R |only PTSDdiag-0.4.1/PTSDdiag/tests/testthat/test-data.R |only PTSDdiag-0.4.1/PTSDdiag/tests/testthat/test-data_preparation.R | 194 ++ PTSDdiag-0.4.1/PTSDdiag/tests/testthat/test-definitions.R |only PTSDdiag-0.4.1/PTSDdiag/tests/testthat/test-helping_functions.R | 147 + PTSDdiag-0.4.1/PTSDdiag/tests/testthat/test-io_combinations.R |only PTSDdiag-0.4.1/PTSDdiag/tests/testthat/test-scenario_plots.R |only PTSDdiag-0.4.1/PTSDdiag/tests/testthat/test-scenario_tables.R |only PTSDdiag-0.4.1/PTSDdiag/tests/testthat/test-score_all_combinations.R |only PTSDdiag-0.4.1/PTSDdiag/tests/testthat/test-scoring_and_diagnosis.R | 26 PTSDdiag-0.4.1/PTSDdiag/tests/testthat/test-validation.R | 328 +++- PTSDdiag-0.4.1/PTSDdiag/vignettes/caps5-workflow.Rmd |only PTSDdiag-0.4.1/PTSDdiag/vignettes/comparing-criteria.Rmd |only PTSDdiag-0.4.1/PTSDdiag/vignettes/getting-started.Rmd |only PTSDdiag-0.4.1/PTSDdiag/vignettes/multi-site-validation.Rmd |only PTSDdiag-0.4.1/PTSDdiag/vignettes/validation.Rmd |only 93 files changed, 2878 insertions(+), 1045 deletions(-)
Title: Fitting the Multinomial Probit Model
Description: Fits the Bayesian multinomial probit model via Markov chain
Monte Carlo. The multinomial probit model is often used to analyze
the discrete choices made by individuals recorded in survey data.
Examples where the multinomial probit model may be useful include the
analysis of product choice by consumers in market research and the
analysis of candidate or party choice by voters in electoral studies.
The MNP package can also fit the model with different choice sets for
each individual, and complete or partial individual choice orderings
of the available alternatives from the choice set. The estimation is
based on the efficient marginal data augmentation algorithm that is
developed by Imai and van Dyk (2005). "A Bayesian Analysis of the
Multinomial Probit Model Using the Data Augmentation." Journal of
Econometrics, Vol. 124, No. 2 (February), pp. 311-334.
<doi:10.1016/j.jeconom.2004.02.002> Detailed examples are given in
Imai and van Dyk (2005). "MNP: R Package for Fitting the Multi [...truncated...]
Author: Kosuke Imai [aut, cre],
David van Dyk [aut],
Hubert Jin [ctb]
Maintainer: Kosuke Imai <imai@harvard.edu>
Diff between MNP versions 3.1-5 dated 2024-06-20 and 3.1-6 dated 2026-07-13
ChangeLog | 3 ++- DESCRIPTION | 6 +++--- MD5 | 12 ++++++------ build/vignette.rds |binary inst/doc/MNP.Rnw | 4 ++-- inst/doc/MNP.pdf |binary vignettes/MNP.Rnw | 4 ++-- 7 files changed, 15 insertions(+), 14 deletions(-)
Title: Continuous Norming
Description: Generates continuous test norms in
psychometrics and biometrics, and analyzing model fit. The package offers
both distribution-free modeling using Taylor polynomials and parametric
modeling using the beta-binomial and the 'Sinh-Arcsinh' distribution.
Originally developed for achievement tests, it is applicable to a wide
range of mental, physical, or other test scores dependent on continuous or
discrete explanatory variables. The package provides several advantages:
It minimizes deviations from representativeness in subsamples, interpolates
between discrete levels of explanatory variables, and significantly reduces
the required sample size compared to conventional norming per age group.
cNORM enables graphical and analytical evaluation of model fit,
accommodates a wide range of scales including those with negative and
descending values, and as well supports conventional norming. It generates
norm tables including confidence intervals. Methods for addressing
representativeness issues are [...truncated...]
Author: Alexandra Lenhard [aut] ,
Wolfgang Lenhard [cre, aut] ,
Sebastian Gary [aut],
WPS Publisher [fnd]
Maintainer: Wolfgang Lenhard <wolfgang.lenhard@uni-wuerzburg.de>
Diff between cNORM versions 3.6.0 dated 2026-06-17 and 3.6.1 dated 2026-07-13
DESCRIPTION | 6 MD5 | 107 - NAMESPACE | 4 NEWS.md | 99 + R/betaBinomial.R | 2347 ++++++++++++++++++-------------------- R/cNORM.R | 11 R/modelling.R | 1633 +++++++++++++------------- R/plot.R | 711 +++++------ inst/doc/BetaBinomial.html | 48 inst/doc/WeightedRegression.html | 41 inst/doc/cNORM-Demo.html | 236 +-- inst/doc/sinh.html | 56 man/autoselect.betabinomial.Rd | 17 man/bb_design_matrix.Rd |only man/bb_distribution.Rd |only man/bb_prepare_data.Rd |only man/bb_resolve_scale.Rd |only man/bestModel.Rd | 70 - man/betaCoefficients.Rd | 33 man/buildFunction.Rd | 1 man/cNORM.Rd | 5 man/checkConsistency.Rd | 38 man/checkWeights.Rd | 29 man/cnorm.betabinomial.Rd | 64 - man/cnorm.betabinomial1.Rd | 44 man/cnorm.betabinomial2.Rd | 42 man/cnorm.cv.Rd | 78 - man/compare.Rd | 17 man/computeWeights.Rd | 170 +- man/derive.Rd | 16 man/diagnostics.betabinomial.Rd | 47 man/getNormScoreSE.Rd | 21 man/log_likelihood.Rd | 20 man/log_likelihood2.Rd | 30 man/modelSummary.Rd | 3 man/normTable.betabinomial.Rd | 30 man/plot.cnormBetaBinomial.Rd | 32 man/plot.cnormBetaBinomial2.Rd | 19 man/plotPercentileSeries.Rd | 46 man/plotSubset.Rd | 49 man/predict.cnormBetaBinomial.Rd | 25 man/predict.cnormBetaBinomial2.Rd | 28 man/predictCoefficients.Rd | 18 man/predictCoefficients2.Rd | 14 man/print.cnorm.Rd | 3 man/printSubset.Rd | 10 man/rangeCheck.Rd | 10 man/regressionFunction.Rd | 3 man/standardizeRakingWeights.Rd | 43 man/subsample_lm.Rd | 26 man/summary.cnorm.Rd | 3 man/summary.cnormBetaBinomial.Rd | 25 man/summary.cnormBetaBinomial2.Rd | 39 man/taylorSwift.Rd | 7 man/weighted.rank.Rd | 46 man/weightedAverageModel.Rd |only tests/testthat/test.modelling.R | 145 ++ 57 files changed, 3553 insertions(+), 3112 deletions(-)
Title: Clinical Publication
Description: Accelerate the process from clinical data to medical publication,
including clinical data cleaning, significant result screening, and the
generation of publish-ready tables and figures.
Author: Yue Niu [aut, cre, cph] ,
Keyun Wang [aut]
Maintainer: Yue Niu <niuyuesam@163.com>
Diff between clinpubr versions 1.4.0 dated 2026-05-24 and 1.4.1 dated 2026-07-13
DESCRIPTION | 32 +- MD5 | 44 +-- NAMESPACE | 6 NEWS.md | 10 R/RcppExports.R |only R/extract_history.R |only R/group_by_range.R |only R/interactions.R | 11 R/misc.R | 8 R/regressions.R | 4 R/to_date.R | 2 R/unit_standardize.R | 16 - R/utils.R | 2 inst/doc/baseline-table.html | 4 inst/doc/data-cleaning.html | 476 ++++++++++++++++----------------- inst/doc/model-evaluation.html | 14 inst/doc/regression-analysis.html | 16 - man/emp_colors.Rd | 5 man/extract_history.Rd |only man/extract_history_single.Rd |only man/group_by_range.Rd |only man/group_by_range_cpp.Rd |only man/regression_basic_results.Rd | 4 src |only tests/testthat/test-extract_history.R |only tests/testthat/test-group_by_range.R |only tests/testthat/test-unit_standardize.R | 92 ++++++ tools |only 28 files changed, 445 insertions(+), 301 deletions(-)
Title: Bayesian Network Structure Learning, Parameter Learning and
Inference
Description: Bayesian network structure learning, parameter learning and inference.
This package implements constraint-based (PC, GS, IAMB, Inter-IAMB, MMPC,
Hiton-PC, HPC), pairwise (ARACNE and Chow-Liu), score-based (Hill-Climbing,
Tabu Search, DirectLiNGAM) and hybrid (MMHC, RSMAX2, H2PC) structure learning
algorithms for discrete, Gaussian, conditional Gaussian and zero-inflated
networks, along with many score functions and conditional independence tests.
The Naive Bayes and the Tree-Augmented Naive Bayes (TAN) classifiers are also
implemented. Some utility functions (model comparison and manipulation,
random data generation, arc orientation testing, simple and advanced plots)
are included, as well as support for parameter estimation (maximum likelihood
and Bayesian) and inference, conditional probability queries, interventions,
counterfactuals, cross-validation, bootstrap and model averaging. Development
snapshots with the latest bugfixes are available from
<https://www.bnlearn.com/>.
Author: Marco Scutari [aut, cre],
Tomi Silander [ctb]
Maintainer: Marco Scutari <scutari@bnlearn.com>
Diff between bnlearn versions 5.1 dated 2025-08-20 and 5.2 dated 2026-07-13
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Title: Beta Kernel Process Modeling
Description: Implements the Beta Kernel Process (BKP) for nonparametric modeling of
covariate-dependent binomial probabilities, and the Dirichlet Kernel Process (DKP) for
categorical or multinomial response data. Scalable global-local approximations
are provided through TwinBKP and TwinDKP, using twinning-selected global subsets
and local nearest-neighbour updates.
Functions are included for model fitting, predictive inference with
uncertainty quantification, posterior simulation,
and visualization in one- and two-dimensional input spaces.
Gaussian, Matern 5/2, Matern 3/2, and Wendland kernels are supported,
with hyperparameters selected by multi-start derivative-free optimization.
For more details, see Zhao, Qing, and Xu (2025) <doi:10.48550/arXiv.2508.10447>.
Author: Jiangyan Zhao [cre, aut],
Kunhai Qing [aut],
Jin Xu [aut]
Maintainer: Jiangyan Zhao <zhaojy2017@126.com>
Diff between BKP versions 0.3.0 dated 2026-07-02 and 0.3.1 dated 2026-07-13
DESCRIPTION | 9 MD5 | 27 NEWS.md | 6 R/fit_BKP.R | 849 ++++++++++------------ R/fit_DKP.R | 859 +++++++++++----------- R/plot_BKP.R | 860 +++++++++++----------- R/plot_DKP.R | 820 ++++++++++----------- R/plot_TwinBKP.R | 748 +++++++++---------- R/plot_TwinDKP.R | 1118 ++++++++++++++--------------- README.md | 278 +++++-- inst/CITATION | 2 man/figures/README-bkp-demonstration-1.png |only man/fit_BKP.Rd | 36 man/fit_DKP.Rd | 36 man/plot.Rd | 6 15 files changed, 2909 insertions(+), 2745 deletions(-)
Title: Tools for Choice Model Estimation and Application
Description: Choice models are a widely used technique across numerous scientific disciplines. The Apollo package is a very flexible tool for the estimation and application
of choice models in R. Users are able to write their own
model functions or use a mix of already available ones. Random heterogeneity,
both continuous and discrete and at the level of individuals and
choices, can be incorporated for all models. There is support for both standalone
models and hybrid model structures. Both classical
and Bayesian estimation is available, and multiple discrete
continuous models are covered in addition to discrete choice.
Multi-threading processing is supported for estimation and a large
number of pre and post-estimation routines, including for computing posterior
(individual-level) distributions are available.
For examples, a manual, and a support forum, visit
<https://www.ApolloChoiceModelling.com>. For more information on choice
models see Train, K. (2009) <isbn:978-0-521-74738-7> and [...truncated...]
Author: Stephane Hess [aut, cre],
David Palma [aut],
Thomas Hancock [ctb]
Maintainer: Stephane Hess <S.Hess@leeds.ac.uk>
Diff between apollo versions 0.3.8 dated 2026-05-17 and 0.3.9 dated 2026-07-13
apollo-0.3.8/apollo/R/apollo_cnl2.R |only apollo-0.3.8/apollo/man/apollo_cnl2.Rd |only apollo-0.3.9/apollo/DESCRIPTION | 6 apollo-0.3.9/apollo/MD5 | 309 ++++---- apollo-0.3.9/apollo/NAMESPACE | 1 apollo-0.3.9/apollo/R/apollo_avgInterDraws.R | 9 apollo-0.3.9/apollo/R/apollo_avgIntraDraws.R | 3 apollo-0.3.9/apollo/R/apollo_basTest.R | 3 apollo-0.3.9/apollo/R/apollo_bootstrap.R | 53 + apollo-0.3.9/apollo/R/apollo_checkArguments.R | 26 apollo-0.3.9/apollo/R/apollo_choiceAnalysis.R | 32 apollo-0.3.9/apollo/R/apollo_classAlloc.R | 41 + apollo-0.3.9/apollo/R/apollo_cnl.R | 49 + apollo-0.3.9/apollo/R/apollo_combineModels.R | 7 apollo-0.3.9/apollo/R/apollo_combineResults.R | 57 + apollo-0.3.9/apollo/R/apollo_compareInputs.R | 6 apollo-0.3.9/apollo/R/apollo_conditionals.R | 4 apollo-0.3.9/apollo/R/apollo_dVdB.R | 8 apollo-0.3.9/apollo/R/apollo_deltaMethod.R | 40 - apollo-0.3.9/apollo/R/apollo_detach.R | 4 apollo-0.3.9/apollo/R/apollo_dft.R | 52 + apollo-0.3.9/apollo/R/apollo_diagnostics.R | 13 apollo-0.3.9/apollo/R/apollo_drugChoiceData.R | 2 apollo-0.3.9/apollo/R/apollo_el.R | 74 +- apollo-0.3.9/apollo/R/apollo_emdc.R | 40 - apollo-0.3.9/apollo/R/apollo_estimate.R | 79 +- apollo-0.3.9/apollo/R/apollo_expandLoop.R | 145 +--- apollo-0.3.9/apollo/R/apollo_firstRow.R | 7 apollo-0.3.9/apollo/R/apollo_fitsTest.R | 15 apollo-0.3.9/apollo/R/apollo_fmnl.R | 34 apollo-0.3.9/apollo/R/apollo_fnl.R | 87 ++ apollo-0.3.9/apollo/R/apollo_initialise.R | 2 apollo-0.3.9/apollo/R/apollo_insertComponentName.R | 18 apollo-0.3.9/apollo/R/apollo_insertFunc.R | 20 apollo-0.3.9/apollo/R/apollo_insertOLList.R | 262 +++---- apollo-0.3.9/apollo/R/apollo_insertQuotes.R | 184 ++--- apollo-0.3.9/apollo/R/apollo_lc.R | 40 - apollo-0.3.9/apollo/R/apollo_lcConditionals.R | 16 apollo-0.3.9/apollo/R/apollo_lcEM.R | 133 +++ apollo-0.3.9/apollo/R/apollo_lcUnconditionals.R | 18 apollo-0.3.9/apollo/R/apollo_llCalc.R | 13 apollo-0.3.9/apollo/R/apollo_loadModel.R | 20 apollo-0.3.9/apollo/R/apollo_longToWide.R | 58 + apollo-0.3.9/apollo/R/apollo_lrTest.R | 25 apollo-0.3.9/apollo/R/apollo_makeDraws.R | 20 apollo-0.3.9/apollo/R/apollo_mdcev.R | 37 - apollo-0.3.9/apollo/R/apollo_mdcnev.R | 100 ++ apollo-0.3.9/apollo/R/apollo_mixConditionals.R | 19 apollo-0.3.9/apollo/R/apollo_mixEM.R | 125 ++- apollo-0.3.9/apollo/R/apollo_mixUnconditionals.R | 28 apollo-0.3.9/apollo/R/apollo_mnl.R | 57 + apollo-0.3.9/apollo/R/apollo_mnl_hessian_fix.R |only apollo-0.3.9/apollo/R/apollo_modeChoiceData.R | 6 apollo-0.3.9/apollo/R/apollo_modelOutput.R | 46 + apollo-0.3.9/apollo/R/apollo_modifyUserDefFunc.R | 5 apollo-0.3.9/apollo/R/apollo_nl.R | 93 ++ apollo-0.3.9/apollo/R/apollo_normalDensity.R | 99 ++ apollo-0.3.9/apollo/R/apollo_ol.R | 93 ++ apollo-0.3.9/apollo/R/apollo_op.R | 100 ++ apollo-0.3.9/apollo/R/apollo_outOfSample.R | 101 ++ apollo-0.3.9/apollo/R/apollo_ownModel.R | 45 + apollo-0.3.9/apollo/R/apollo_panelProd.R | 15 apollo-0.3.9/apollo/R/apollo_prediction.R | 153 +++- apollo-0.3.9/apollo/R/apollo_prepareProb.R | 19 apollo-0.3.9/apollo/R/apollo_print.R | 34 apollo-0.3.9/apollo/R/apollo_readBeta.R | 12 apollo-0.3.9/apollo/R/apollo_rrm.R | 81 +- apollo-0.3.9/apollo/R/apollo_saveOutput.R | 114 ++- apollo-0.3.9/apollo/R/apollo_searchStart.R | 590 +++++++++-------- apollo-0.3.9/apollo/R/apollo_setRows.R | 9 apollo-0.3.9/apollo/R/apollo_setWorkDir.R | 43 - apollo-0.3.9/apollo/R/apollo_sharesTest.R | 57 + apollo-0.3.9/apollo/R/apollo_sink.R | 68 + apollo-0.3.9/apollo/R/apollo_speedTest.R | 95 ++ apollo-0.3.9/apollo/R/apollo_swissRouteChoiceData.R | 16 apollo-0.3.9/apollo/R/apollo_timeUseData.R | 21 apollo-0.3.9/apollo/R/apollo_tobit.R | 97 ++ apollo-0.3.9/apollo/R/apollo_unconditionals.R | 38 - apollo-0.3.9/apollo/R/apollo_validate.R | 12 apollo-0.3.9/apollo/R/apollo_validateControl.R | 73 +- apollo-0.3.9/apollo/R/apollo_validateData.R | 23 apollo-0.3.9/apollo/R/apollo_validateInputs.R | 9 apollo-0.3.9/apollo/R/apollo_varList.R | 7 apollo-0.3.9/apollo/R/apollo_varcov.R | 49 + apollo-0.3.9/apollo/R/apollo_weighting.R | 28 apollo-0.3.9/apollo/R/apollo_writeF12.R | 202 ++--- apollo-0.3.9/apollo/R/summary.apollo.R | 2 apollo-0.3.9/apollo/inst/doc/apollofirstexample.html | 28 apollo-0.3.9/apollo/man/apollo_avgInterDraws.Rd | 7 apollo-0.3.9/apollo/man/apollo_avgIntraDraws.Rd | 3 apollo-0.3.9/apollo/man/apollo_bootstrap.Rd | 11 apollo-0.3.9/apollo/man/apollo_choiceAnalysis.Rd | 19 apollo-0.3.9/apollo/man/apollo_classAlloc.Rd | 4 apollo-0.3.9/apollo/man/apollo_cnl.Rd | 6 apollo-0.3.9/apollo/man/apollo_combineModels.Rd | 7 apollo-0.3.9/apollo/man/apollo_combineResults.Rd | 2 apollo-0.3.9/apollo/man/apollo_compareInputs.Rd | 6 apollo-0.3.9/apollo/man/apollo_conditionals.Rd | 4 apollo-0.3.9/apollo/man/apollo_dVdB.Rd | 2 apollo-0.3.9/apollo/man/apollo_deltaMethod.Rd | 8 apollo-0.3.9/apollo/man/apollo_detach.Rd | 4 apollo-0.3.9/apollo/man/apollo_dft.Rd | 10 apollo-0.3.9/apollo/man/apollo_diagnostics.Rd | 12 apollo-0.3.9/apollo/man/apollo_drugChoiceData.Rd | 2 apollo-0.3.9/apollo/man/apollo_el.Rd | 12 apollo-0.3.9/apollo/man/apollo_estimate.Rd | 24 apollo-0.3.9/apollo/man/apollo_expandLoop.Rd | 10 apollo-0.3.9/apollo/man/apollo_firstRow.Rd | 3 apollo-0.3.9/apollo/man/apollo_fitsTest.Rd | 6 apollo-0.3.9/apollo/man/apollo_fmnl.Rd | 10 apollo-0.3.9/apollo/man/apollo_fnl.Rd | 21 apollo-0.3.9/apollo/man/apollo_insertComponentName.Rd | 6 apollo-0.3.9/apollo/man/apollo_insertFunc.Rd | 14 apollo-0.3.9/apollo/man/apollo_insertOLList.Rd | 2 apollo-0.3.9/apollo/man/apollo_insertRRMQuotes.Rd | 2 apollo-0.3.9/apollo/man/apollo_lc.Rd | 10 apollo-0.3.9/apollo/man/apollo_lcConditionals.Rd | 4 apollo-0.3.9/apollo/man/apollo_lcEM.Rd | 10 apollo-0.3.9/apollo/man/apollo_lcUnconditionals.Rd | 6 apollo-0.3.9/apollo/man/apollo_loadModel.Rd | 2 apollo-0.3.9/apollo/man/apollo_longToWide.Rd | 7 apollo-0.3.9/apollo/man/apollo_mdcev.Rd | 12 apollo-0.3.9/apollo/man/apollo_mdcnev.Rd | 10 apollo-0.3.9/apollo/man/apollo_mixConditionals.Rd | 11 apollo-0.3.9/apollo/man/apollo_mixEM.Rd | 12 apollo-0.3.9/apollo/man/apollo_mixUnconditionals.Rd | 2 apollo-0.3.9/apollo/man/apollo_mnl.Rd | 33 apollo-0.3.9/apollo/man/apollo_modeChoiceData.Rd | 6 apollo-0.3.9/apollo/man/apollo_modelOutput.Rd | 9 apollo-0.3.9/apollo/man/apollo_nl.Rd | 8 apollo-0.3.9/apollo/man/apollo_normalDensity.Rd | 10 apollo-0.3.9/apollo/man/apollo_ol.Rd | 11 apollo-0.3.9/apollo/man/apollo_op.Rd | 8 apollo-0.3.9/apollo/man/apollo_outOfSample.Rd | 18 apollo-0.3.9/apollo/man/apollo_ownModel.Rd | 11 apollo-0.3.9/apollo/man/apollo_panelProd.Rd | 8 apollo-0.3.9/apollo/man/apollo_prediction.Rd | 8 apollo-0.3.9/apollo/man/apollo_prepareProb.Rd | 8 apollo-0.3.9/apollo/man/apollo_readBeta.Rd | 4 apollo-0.3.9/apollo/man/apollo_rrm.Rd | 16 apollo-0.3.9/apollo/man/apollo_saveOutput.Rd | 21 apollo-0.3.9/apollo/man/apollo_searchStart.Rd | 10 apollo-0.3.9/apollo/man/apollo_setWorkDir.Rd | 7 apollo-0.3.9/apollo/man/apollo_sharesTest.Rd | 4 apollo-0.3.9/apollo/man/apollo_sink.Rd | 5 apollo-0.3.9/apollo/man/apollo_speedTest.Rd | 8 apollo-0.3.9/apollo/man/apollo_swissRouteChoiceData.Rd | 16 apollo-0.3.9/apollo/man/apollo_timeUseData.Rd | 54 - apollo-0.3.9/apollo/man/apollo_tobit.Rd | 13 apollo-0.3.9/apollo/man/apollo_unconditionals.Rd | 18 apollo-0.3.9/apollo/man/apollo_validateControl.Rd | 24 apollo-0.3.9/apollo/man/apollo_validateData.Rd | 6 apollo-0.3.9/apollo/man/apollo_validateInputs.Rd | 5 apollo-0.3.9/apollo/man/apollo_varList.Rd | 9 apollo-0.3.9/apollo/man/apollo_varcov.Rd | 18 apollo-0.3.9/apollo/man/apollo_weighting.Rd | 4 apollo-0.3.9/apollo/man/apollo_writeF12.Rd | 2 157 files changed, 3679 insertions(+), 1890 deletions(-)
Title: Cross-Platform 'zip' Compression
Description: Cross-Platform 'zip' Compression Library. A replacement for
the 'zip' function, that does not require any additional external
tools on any platform.
Author: Gabor Csardi [aut, cre],
Kuba Podgorski [ctb],
Rich Geldreich [ctb],
Arm Limited [ctb, cph] ),
Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>
Diff between zip versions 3.0.0 dated 2026-06-10 and 3.0.1 dated 2026-07-13
DESCRIPTION | 6 +++--- MD5 | 27 ++++++++++++++------------- NEWS.md | 17 +++++++++++++++++ R/threaded.R | 10 ++++++++++ R/utils.R | 5 +++-- R/zip.R | 3 ++- man/unzip.Rd | 3 ++- src/miniz.c | 21 +++++++++++++++++++++ src/zip.c | 7 +++++-- tests/testthat/_snaps/threaded-unzip.md | 8 ++++++++ tests/testthat/test-threaded-unzip.R | 26 +++++++++++++++++++++++++- tests/testthat/test-unzip.R | 6 +++--- tests/testthat/test-utils.R |only tests/testthat/test-zip.R | 19 +++++++++++++++++-- tools/extra/miniz.patch | 27 +++++++++++++++++++++++++++ 15 files changed, 157 insertions(+), 28 deletions(-)
Title: Time Series Analysis and Computational Finance
Description: Time series analysis and computational finance.
Author: Adrian Trapletti [aut],
Kurt Hornik [aut, cre] ,
Blake LeBaron [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>
Diff between tseries versions 0.10-61 dated 2026-03-26 and 0.10-62 dated 2026-07-13
ChangeLog | 4 ++++ DESCRIPTION | 9 ++++----- MD5 | 24 ++++++++++++------------ build/partial.rdb |binary data/NelPlo.rda |binary data/USeconomic.rda |binary data/bev.rda |binary data/camp.rda |binary data/ice.river.rda |binary data/nino.rda |binary data/tcm.rda |binary data/tcmd.rda |binary man/white.test.Rd | 3 +++ 13 files changed, 23 insertions(+), 17 deletions(-)
Title: Text Analysis Utilities
Description: Utilities for text analysis.
Author: Christian Buchta [aut],
Kurt Hornik [aut, cre] ,
Ingo Feinerer [aut] ,
David Meyer [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>
Diff between tau versions 0.0-28 dated 2026-03-26 and 0.0-29 dated 2026-07-13
DESCRIPTION | 6 ++-- MD5 | 16 ++++++------ R/sysdata.rda |binary build/partial.rdb |binary src/textcnt.c | 6 +++- tests/counting.R | 20 ++++++++-------- tests/counting.Rout.save | 47 ++++++++++++++------------------------ tests/counting_useBytes.R | 20 ++++++++-------- tests/counting_useBytes.Rout.save | 45 +++++++++++++----------------------- 9 files changed, 72 insertions(+), 88 deletions(-)
Title: Sparse Lightweight Arrays and Matrices
Description: Data structures and algorithms for sparse arrays and matrices,
based on index arrays and simple triplet representations, respectively.
Author: Kurt Hornik [aut, cre] ,
David Meyer [aut] ,
Christian Buchta [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>
Diff between slam versions 0.1-55 dated 2024-11-13 and 0.1-56 dated 2026-07-13
DESCRIPTION | 10 +++++----- MD5 | 8 ++++---- man/array.Rd | 5 +++++ tests/stm_rollup.R | 2 +- tests/stm_rollup.Rout.save | 12 +++++------- 5 files changed, 20 insertions(+), 17 deletions(-)
Title: R/Weka Interface
Description: An R interface to Weka (Version 3.9.3).
Weka is a collection of machine learning algorithms for data mining
tasks written in Java, containing tools for data pre-processing,
classification, regression, clustering, association rules, and
visualization. Package 'RWeka' contains the interface code, the
Weka jar is in a separate package 'RWekajars'. For more information
on Weka see <https://www.cs.waikato.ac.nz/ml/weka/>.
Author: Kurt Hornik [aut, cre] ,
Christian Buchta [ctb],
Torsten Hothorn [ctb],
Alexandros Karatzoglou [ctb],
David Meyer [ctb],
Achim Zeileis [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>
Diff between RWeka versions 0.4-48 dated 2026-03-26 and 0.4-49 dated 2026-07-13
DESCRIPTION | 6 +++--- MD5 | 16 ++++++++-------- build/partial.rdb |binary build/vignette.rds |binary inst/doc/RWeka.R | 2 -- inst/doc/RWeka.pdf |binary man/Weka_classifier_trees.Rd | 11 +++++++++++ tests/data_exchange.R | 14 ++++++++++++-- tests/data_exchange.Rout.save | 22 ++++++++++++++++------ 9 files changed, 50 insertions(+), 21 deletions(-)
Title: Apache OpenNLP Tools Interface
Description: An interface to the Apache OpenNLP tools (version 1.5.3).
The Apache OpenNLP library is a machine learning based toolkit for the
processing of natural language text written in Java.
It supports the most common NLP tasks, such as tokenization, sentence
segmentation, part-of-speech tagging, named entity extraction, chunking,
parsing, and coreference resolution.
See <https://opennlp.apache.org/> for more information.
Author: Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>
Diff between openNLP versions 0.2-7 dated 2019-10-26 and 0.2-8 dated 2026-07-13
DESCRIPTION | 8 +++--- MD5 | 14 +++++----- man/Maxent_Chunk_Annotator.Rd | 41 +++++++++++++++--------------- man/Maxent_Entity_Annotator.Rd | 49 ++++++++++++++++++------------------- man/Maxent_POS_Tag_Annotator.Rd | 4 +-- man/Maxent_Sent_Token_Annotator.Rd | 4 +-- man/Maxent_Word_Token_Annotator.Rd | 4 +-- man/Parse_Annotator.Rd | 45 ++++++++++++++++----------------- 8 files changed, 83 insertions(+), 86 deletions(-)
Title: Natural Language Processing Infrastructure
Description: Basic classes and methods for Natural Language Processing.
Author: Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>
Diff between NLP versions 0.3-2 dated 2024-11-20 and 0.3-3 dated 2026-07-13
DESCRIPTION | 8 ++++---- MD5 | 16 ++++++++-------- R/sysdata.rda |binary build/partial.rdb |binary man/CoNLLTextDocument.Rd | 9 ++++++--- man/Tokenizer.Rd | 2 ++ man/datetime.Rd | 3 +++ man/ngrams.Rd | 3 +++ man/viewers.Rd | 1 + 9 files changed, 27 insertions(+), 15 deletions(-)
Title: Machine Learning Benchmark Problems
Description: A collection of artificial and real-world machine learning
benchmark problems, including, e.g., several
data sets from the UCI repository.
Author: Friedrich Leisch [aut] ,
Evgenia Dimitriadou [aut],
Kurt Hornik [cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>
Diff between mlbench versions 2.1-8 dated 2026-03-26 and 2.1-9 dated 2026-07-13
DESCRIPTION | 7 ++---- MD5 | 48 +++++++++++++++++++++--------------------- NAMESPACE | 22 +++++++++++++++++-- NEWS | 5 ++++ build/partial.rdb |binary data/BostonHousing.rda |binary data/BostonHousing2.rda |binary data/BreastCancer.rda |binary data/DNA.rda |binary data/Glass.rda |binary data/HouseVotes84.rda |binary data/Ionosphere.rda |binary data/LetterRecognition.rda |binary data/Ozone.rda |binary data/PimaIndiansDiabetes.rda |binary data/PimaIndiansDiabetes2.rda |binary data/Satellite.rda |binary data/Servo.rda |binary data/Shuttle.rda |binary data/Sonar.rda |binary data/Soybean.rda |binary data/Vehicle.rda |binary data/Vowel.rda |binary data/Zoo.rda |binary man/mlbench.hypercube.Rd | 1 25 files changed, 52 insertions(+), 31 deletions(-)
Title: Continuous Time Structural Equation Modelling - Old
'OpenMx'-Based Version
Description: Original 'ctsem' (continuous time structural equation modelling)
functionality, based on the 'OpenMx' software, as described in
Driver, Oud, Voelkle (2017) <doi:10.18637/jss.v077.i05>, with updated details in vignette.
Combines stochastic differential equations representing latent processes with
structural equation measurement models. This package is maintained for consistency with the
original 'ctsem' paper, but for the much newer and more capable 'ctsem' package, see
<https://cran.r-project.org/package=ctsem>.
Author: Charles Driver [aut, cre, cph],
Manuel Voelkle [aut, cph],
Han Oud [aut, cph]
Maintainer: Charles Driver <charles.driver2@uzh.ch>
Diff between ctsemOMX versions 2.0.0 dated 2026-03-19 and 2.0.1 dated 2026-07-13
DESCRIPTION | 10 MD5 | 22 R/ctDataHelp.R | 214 ++++---- R/ctDiscretiseData.R | 114 ++-- R/ctLongtowide.r | 308 ++++++------ R/ctModel.R | 1212 ++++++++++++++++++++++++------------------------- R/ctsemOMX-package.R | 140 ++--- build/vignette.rds |binary inst/doc/ctsemOMX.pdf |binary inst/doc/ctsemOMX.rnw | 2 man/ctsemOMX.Rd | 1 vignettes/ctsemOMX.rnw | 2 12 files changed, 1013 insertions(+), 1012 deletions(-)
Title: Creating Composite Plots using 'aplot'
Description: Many complex plots are actually composite plots, such as 'oncoplot', 'funkyheatmap', 'upsetplot', etc. We can produce subplots using 'ggplot2' and combine them to create composite plots using 'aplot'. In this way, it is easy to customize these complex plots, by adding, deleting or modifying subplots in the final plot. This package provides a set of utilities to help users to create subplots and complex plots.
Author: Guangchuang Yu [aut, cre] ,
Shuangbin Xu [ctb] ,
Chun-Hui Gao [ctb] ,
Shensuo Li [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Diff between aplotExtra versions 0.0.4 dated 2025-06-12 and 0.0.5 dated 2026-07-13
DESCRIPTION | 12 +++++++----- MD5 | 17 ++++++++++------- NEWS.md | 9 +++++++++ R/funkyheatmap.R | 6 ++---- R/oncoplot.r | 2 +- R/upset.R | 4 ++-- man/aplotExtra-package.Rd | 5 +++++ man/upset_plot.Rd | 2 +- tests |only 9 files changed, 37 insertions(+), 20 deletions(-)
Title: 'rcpp' Wrapper for 'mecab' Library
Description: R package based on 'Rcpp' for 'MeCab': Yet Another Part-of-Speech and Morphological Analyzer.
It provides install-time engine profiles and dictionaries for Japanese,
Korean, and Mandarin Chinese text. Runtime dictionary selection does not
change the installed engine.
This package utilizes parallel programming for providing highly efficient text preprocessing 'posParallel()' function.
For installation, please refer to README.md file.
Author: Junhewk Kim [aut, cre],
Taku Kudo [aut],
Akiru Kato [ctb],
Patrick Schratz [ctb]
Maintainer: Junhewk Kim <junhewk.kim@gmail.com>
Diff between RcppMeCab versions 0.0.1.6 dated 2026-07-12 and 0.0.1.7 dated 2026-07-13
DESCRIPTION | 20 ++++--- MD5 | 37 +++++++------ NEWS.md | 6 +- R/RcppMeCab-package.r | 7 +- R/dic.R | 21 +++++-- R/pos.r | 16 ++++- R/posParallel.R | 16 ++++- README.md | 108 ++++++++++++++++++++++++++++------------ cleanup | 1 configure | 103 ++++++++++++++++++++++++++++++++------ inst/COPYRIGHTS |only man/RcppMeCab.Rd | 7 +- man/download_dic.Rd | 6 +- man/pos.Rd | 16 ++++- man/posParallel.Rd | 16 ++++- man/set_dic.Rd | 13 ++-- src/Makevars.win | 22 ++++++++ tests/testthat/test_pos_ko.R | 2 tests/testthat/test_pos_zh.R |only tools/mecab-dict-index-main.cpp |only tools/winlibs.R | 26 ++++++++- 21 files changed, 331 insertions(+), 112 deletions(-)
Title: Bayesian Inference Using 'RTMB'
Description: Provides tools for Markov chain Monte Carlo (MCMC) and Maximum A Posteriori (MAP) estimation utilizing the 'RTMB' package. It supports various statistical models including generalized linear mixed models, factor analysis, item response theory, and multidimensional unfolding. The package allows users to easily transition between frequentist and Bayesian paradigms using a unified interface. Automatic differentiation and Laplace approximation follow Kristensen et al. (2016) <doi:10.18637/jss.v070.i05>, and MCMC sampling uses the No-U-Turn Sampler described by Hoffman and Gelman (2014) <https://jmlr.org/papers/v15/hoffman14a.html>.
Author: Hiroshi Shimizu [aut, cre]
Maintainer: Hiroshi Shimizu <simizu706@gmail.com>
Diff between BayesRTMB versions 0.2.1 dated 2026-06-23 and 0.2.3 dated 2026-07-13
DESCRIPTION | 6 MD5 | 74 NAMESPACE | 2 NEWS.md | 22 R/Base_Fit.R | 114 R/RTMB_Model_impl_ast.R | 16 R/distributions.R | 152 R/model.R | 200 + R/parameters.R | 29 R/wrapper_corr.R | 2 R/wrapper_fa.R | 62 R/wrapper_lrt.R | 38 R/wrapper_mixture.R | 33 inst/doc/analysis_reference.R | 3 inst/doc/analysis_reference.Rmd | 8 inst/doc/analysis_reference.html | 135 inst/doc/ja-analysis_reference.Rmd | 3396 +++++++++++----------- inst/doc/ja-wrapper_functions.R | 4 inst/doc/ja-wrapper_functions.Rmd | 4 inst/doc/ja-writing_models.R | 89 inst/doc/ja-writing_models.Rmd | 122 inst/doc/ja-writing_models.html | 546 ++- inst/doc/writing_models.R | 88 inst/doc/writing_models.Rmd | 117 inst/doc/writing_models.html | 163 - inst/examples/ex_fa.R | 30 man/RTMB_Fit_Base.Rd | 20 man/diffusion_lpdf.Rd |only man/distributions.Rd | 6 man/exp_mod_normal_lpdf.Rd |only man/rtmb_fa.Rd | 30 tests/testthat/test-obs-syntax.R |only tests/testthat/test-response-time-distributions.R |only tests/testthat/test-rtmb-containers.R | 13 tests/testthat/test-wrappers.R | 119 vignettes/analysis_reference.Rmd | 8 vignettes/ja-analysis_reference.Rmd | 3396 +++++++++++----------- vignettes/ja-wrapper_functions.Rmd | 4 vignettes/ja-writing_models.Rmd | 122 vignettes/writing_models.Rmd | 117 40 files changed, 5427 insertions(+), 3863 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2026-05-18 3.1.1
2026-05-16 3.1.0
2026-01-08 3.0.0
2024-12-12 2.1.2
2024-05-29 2.1.0
2024-04-15 2.0.12
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-04-17 2.0.11
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2026-05-23 3.1.2
2026-05-19 3.1.0
2026-01-11 3.0.4
2025-09-18 2.1.8
2025-09-02 2.1.6
2024-06-02 2.1.0
2024-04-25 2.0.5
2024-04-16 2.0.4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2026-01-11 2.1.1
2025-10-14 2.0.9
2025-10-11 2.0.8
2024-05-15 2.0.7
2024-04-15 2.0.6
Title: Bayesian Network Meta-Analysis with Missing Participants
Description: A comprehensive suite of functions to perform and visualise
pairwise and network meta-analysis with aggregate binary or continuous
missing participant outcome data. The package covers core Bayesian one-stage
models implemented in a systematic review with multiple interventions,
including fixed-effect and random-effects network meta-analysis,
meta-regression, and evaluation of the consistency assumption via the
node-splitting approach and the unrelated mean effects model (original and
revised model proposed by Spineli, (2021) <doi:10.1177/0272989X211068005>).
Missing participant outcome data are addressed in all models of the package
(see Spineli, (2019) <doi:10.1186/s12874-019-0731-y>, Spineli et al., (2019)
<doi:10.1002/sim.8207>, Spineli, (2019) <doi:10.1016/j.jclinepi.2018.09.002>,
and Spineli et al., (2021) <doi:10.1177/0962280220983544>).
The robustness to primary analysis results can also be investigated using a
novel intuitive index (see Spineli et [...truncated...]
Author: Loukia Spineli [aut, cre],
Chrysostomos Kalyvas [ctb],
Katerina Papadimitropoulou [ctb]
Maintainer: Loukia Spineli <Spineli.Loukia@mh-hannover.de>
Diff between rnmamod versions 0.5.0 dated 2025-06-13 and 0.5.1 dated 2026-07-13
DESCRIPTION | 25 ++++++------ MD5 | 44 ++++++++++----------- NEWS.md | 4 + R/comp.clustering_function.R | 27 +++++++------ R/dendro.heatmap_function.R | 10 +++- R/distr.characteristics_function.R | 8 +++ R/gower.distance_function.R | 26 +++++++++++- R/kld.inconsistency.user_function.R | 6 ++ R/kld.inconsistency_function.R | 6 ++ R/miss.characteristics_function.R | 9 +++- R/plot.study.dissimilarities_function.R | 2 R/rnmamod.R.R | 59 ++++++++++++++++++++++++----- inst/doc/network_description.html | 13 +++--- inst/doc/perform_network_metaanalysis.html | 9 ++-- man/comp_clustering.Rd | 22 ++++++---- man/dendro_heatmap.Rd | 10 +++- man/distr_characteristics.Rd | 8 +++ man/gower_distance.Rd | 20 +++++++++ man/kld_inconsistency.Rd | 6 ++ man/kld_inconsistency_user.Rd | 6 ++ man/miss_characteristics.Rd | 9 +++- man/plot_study_dissimilarities.Rd | 2 man/rnmamod-package.Rd | 59 ++++++++++++++++++++++++----- 23 files changed, 290 insertions(+), 100 deletions(-)
Title: Interface to 'JDemetra+' 3.x Time Series Analysis Software
Description: Interface to 'JDemetra+' 3.x (<https://github.com/jdemetra>)
time series analysis software. It offers full access to txt, csv, xml
and spreadsheets files which are meant to be read by 'JDemetra+'
Graphical User Interface.
Author: Jean Palate [aut],
Alessandro Piovani [aut, cre],
Tanguy Barthelemy [ctb, art]
Maintainer: Alessandro Piovani <alessandro.piovani@istat.it>
Diff between rjd3providers versions 3.7.1 dated 2026-03-11 and 3.8.0 dated 2026-07-13
rjd3providers-3.7.1/rjd3providers/R/deprecated.R |only rjd3providers-3.7.1/rjd3providers/inst/java/caffeine-3.2.3.jar |only rjd3providers-3.7.1/rjd3providers/inst/java/java-io-base-0.0.35.jar |only rjd3providers-3.7.1/rjd3providers/inst/java/java-io-picocsv-0.0.35.jar |only rjd3providers-3.7.1/rjd3providers/inst/java/java-io-xml-0.0.35.jar |only rjd3providers-3.7.1/rjd3providers/inst/java/java-io-xml-bind-0.0.35.jar |only rjd3providers-3.7.1/rjd3providers/inst/java/jdplus-spreadsheet-base-api-3.7.1.jar |only rjd3providers-3.7.1/rjd3providers/inst/java/jdplus-spreadsheet-base-r-3.7.1.jar |only rjd3providers-3.7.1/rjd3providers/inst/java/jdplus-text-base-api-3.7.1.jar |only rjd3providers-3.7.1/rjd3providers/inst/java/jdplus-text-base-r-3.7.1.jar |only rjd3providers-3.7.1/rjd3providers/inst/java/jdplus-toolkit-base-tsp-3.7.1.jar |only rjd3providers-3.7.1/rjd3providers/inst/java/jdplus-toolkit-base-xml-3.7.1.jar |only rjd3providers-3.7.1/rjd3providers/inst/java/spreadsheet-api-2.5.10.jar |only rjd3providers-3.7.1/rjd3providers/inst/java/spreadsheet-standalone-2.5.10.jar |only rjd3providers-3.7.1/rjd3providers/man/deprecated-rjd3providers.Rd |only rjd3providers-3.8.0/rjd3providers/DESCRIPTION | 14 rjd3providers-3.8.0/rjd3providers/MD5 | 116 rjd3providers-3.8.0/rjd3providers/NAMESPACE | 84 rjd3providers-3.8.0/rjd3providers/NEWS.md | 224 - rjd3providers-3.8.0/rjd3providers/R/jd3spreadsheet.R | 768 +++-- rjd3providers-3.8.0/rjd3providers/R/jd3txt.R | 927 ++++--- rjd3providers-3.8.0/rjd3providers/R/jd3xml.R | 576 ++-- rjd3providers-3.8.0/rjd3providers/R/providers.R | 143 - rjd3providers-3.8.0/rjd3providers/R/rjd3providers-package.R |only rjd3providers-3.8.0/rjd3providers/R/zzz.R | 106 rjd3providers-3.8.0/rjd3providers/README.md | 481 +-- rjd3providers-3.8.0/rjd3providers/inst/extdata/ABS.csv | 852 +++--- rjd3providers-3.8.0/rjd3providers/inst/extdata/Prod.xml | 1286 +++++----- rjd3providers-3.8.0/rjd3providers/inst/java/caffeine-3.2.4.jar |only rjd3providers-3.8.0/rjd3providers/inst/java/java-io-base-0.0.38.jar |only rjd3providers-3.8.0/rjd3providers/inst/java/java-io-picocsv-0.0.38.jar |only rjd3providers-3.8.0/rjd3providers/inst/java/java-io-xml-0.0.38.jar |only rjd3providers-3.8.0/rjd3providers/inst/java/java-io-xml-bind-0.0.38.jar |only rjd3providers-3.8.0/rjd3providers/inst/java/jdplus-spreadsheet-base-api-3.8.0.jar |only rjd3providers-3.8.0/rjd3providers/inst/java/jdplus-spreadsheet-base-r-3.8.0.jar |only rjd3providers-3.8.0/rjd3providers/inst/java/jdplus-text-base-api-3.8.0.jar |only rjd3providers-3.8.0/rjd3providers/inst/java/jdplus-text-base-r-3.8.0.jar |only rjd3providers-3.8.0/rjd3providers/inst/java/jdplus-toolkit-base-tsp-3.8.0.jar |only rjd3providers-3.8.0/rjd3providers/inst/java/jdplus-toolkit-base-xml-3.8.0.jar |only rjd3providers-3.8.0/rjd3providers/inst/java/spreadsheet-api-2.6.0.jar |only rjd3providers-3.8.0/rjd3providers/inst/java/spreadsheet-standalone-2.6.0.jar |only rjd3providers-3.8.0/rjd3providers/java/README | 12 rjd3providers-3.8.0/rjd3providers/man/dot-obs_format.Rd | 68 rjd3providers-3.8.0/rjd3providers/man/dot-obs_gathering.Rd | 68 rjd3providers-3.8.0/rjd3providers/man/dot-spreadsheet_moniker.Rd | 46 rjd3providers-3.8.0/rjd3providers/man/dot-txt_moniker.Rd | 46 rjd3providers-3.8.0/rjd3providers/man/dot-xml_moniker.Rd | 46 rjd3providers-3.8.0/rjd3providers/man/figures/logo.svg | 188 - rjd3providers-3.8.0/rjd3providers/man/get_providers_option.Rd |only rjd3providers-3.8.0/rjd3providers/man/providers_option.Rd |only rjd3providers-3.8.0/rjd3providers/man/rjd3providers-package.Rd |only rjd3providers-3.8.0/rjd3providers/man/set_spreadsheet_paths.Rd | 46 rjd3providers-3.8.0/rjd3providers/man/set_txt_paths.Rd | 46 rjd3providers-3.8.0/rjd3providers/man/set_xml_paths.Rd | 46 rjd3providers-3.8.0/rjd3providers/man/spreadsheet_change_file.Rd | 62 rjd3providers-3.8.0/rjd3providers/man/spreadsheet_content.Rd | 50 rjd3providers-3.8.0/rjd3providers/man/spreadsheet_data.Rd | 92 rjd3providers-3.8.0/rjd3providers/man/spreadsheet_id_to_properties.Rd | 66 rjd3providers-3.8.0/rjd3providers/man/spreadsheet_name.Rd | 40 rjd3providers-3.8.0/rjd3providers/man/spreadsheet_properties_to_id.Rd | 68 rjd3providers-3.8.0/rjd3providers/man/spreadsheet_series.Rd | 98 rjd3providers-3.8.0/rjd3providers/man/txt_change_file.Rd | 62 rjd3providers-3.8.0/rjd3providers/man/txt_content.Rd | 132 - rjd3providers-3.8.0/rjd3providers/man/txt_data.Rd | 132 - rjd3providers-3.8.0/rjd3providers/man/txt_id_to_properties.Rd | 54 rjd3providers-3.8.0/rjd3providers/man/txt_name.Rd | 40 rjd3providers-3.8.0/rjd3providers/man/txt_properties_to_id.Rd | 68 rjd3providers-3.8.0/rjd3providers/man/txt_series.Rd | 140 - rjd3providers-3.8.0/rjd3providers/man/xml_change_file.Rd | 62 rjd3providers-3.8.0/rjd3providers/man/xml_content.Rd | 56 rjd3providers-3.8.0/rjd3providers/man/xml_data.Rd | 64 rjd3providers-3.8.0/rjd3providers/man/xml_id_to_properties.Rd | 56 rjd3providers-3.8.0/rjd3providers/man/xml_name.Rd | 40 rjd3providers-3.8.0/rjd3providers/man/xml_properties_to_id.Rd | 56 rjd3providers-3.8.0/rjd3providers/man/xml_series.Rd | 70 75 files changed, 4048 insertions(+), 3649 deletions(-)
Title: A Comprehensive Toolkit for Environmental Mixtures Analysis
Description: Quantitative characterization of the health impacts associated with exposure to chemical mixtures has received considerable attention in current environmental and epidemiological studies. 'CompMix' package allows practitioners to estimate the health impacts from exposure to chemical mixtures data through various statistical approaches, including Lasso, Elastic net, Bayesian kernel machine regression (BKMR), hierNet, Quantile g-computation, Weighted quantile sum (WQS) and Random forest. Methods and recommendations are described in Hao et al. (2025) <doi:10.1289/EHP15305>.
Author: Wei Hao [aut, cre]
Maintainer: Wei Hao <weihao@umich.edu>
This is a re-admission after prior archival of version 0.1.0 dated 2024-05-22
Diff between CompMix versions 0.1.0 dated 2024-05-22 and 1.1.0 dated 2026-07-13
DESCRIPTION | 15 - MD5 | 9 - NAMESPACE | 2 R/environment_mix_lib_package.R | 324 +++++++++++++--------------------------- inst |only man/Comp.Mix.Rd | 30 ++- 6 files changed, 139 insertions(+), 241 deletions(-)
Title: Clustering-Based K-Nearest Neighbor Regression for Longitudinal
Data
Description: Implements the 'CKNNRLD' algorithm (Clustering-Based K-Nearest
Neighbor Regression for Longitudinal Data) for improving K-Nearest
Neighbor ('KNN') regression on longitudinal data through cluster-based
partitioning and localized prediction. Offers enhanced computational
efficiency and accuracy for high-volume longitudinal datasets. The
acronym 'KNN' stands for K-Nearest Neighbor. References: Loeloe MS,
Tabatabaei SM, Sefidkar R, Mehrparvar AH, Jambarsang S (2025).
"Boosting K-nearest neighbor regression performance for longitudinal
data through a novel learning approach." BMC Bioinformatics, 26, 232.
<doi:10.1186/s12859-025-06205-1>.
Author: Mohammad Sadegh Loeloe [aut, cre],
Seyyed Mohammad Tabatabaei [aut],
Reyhane Sefidkar [aut],
Amir Houshang Mehrparvar [aut],
Sara Jambarsang [aut, ths]
Maintainer: Mohammad Sadegh Loeloe <mslbiostat@gmail.com>
Diff between CKNNRLD versions 0.2.0 dated 2026-07-10 and 0.2.2 dated 2026-07-13
CKNNRLD-0.2.0/CKNNRLD/R/return_model.R |only CKNNRLD-0.2.2/CKNNRLD/DESCRIPTION | 6 +++--- CKNNRLD-0.2.2/CKNNRLD/MD5 | 6 +++--- CKNNRLD-0.2.2/CKNNRLD/R/CKNNRLD.R |only CKNNRLD-0.2.2/CKNNRLD/man/CKNNRLD.Rd | 20 ++++++++++---------- 5 files changed, 16 insertions(+), 16 deletions(-)
Title: Bayesian Simultaneous Credible Bands for Polynomial Regression
Description: Provides functions to construct two-sided Bayesian simultaneous
credible bands (BSCBs) for the regression curve in univariate polynomial
regression over a finite covariate interval. Six methods are implemented,
including Normal-Gamma conjugate priors (with empirical Bayes,
unit-information, and g-prior hyperparameter specifications),
non-conjugate priors fitted via Hamiltonian Monte Carlo (HMC) using
'cmdstanr', and a non-informative independent Jeffreys prior approach.
Also includes functions for computing the empirical simultaneous coverage
rate (ESCR) and posterior simultaneous coverage probability (PSCP),
enabling performance comparison across methods. The methodology is
described in:
Yang, F., Han, Y., Liu, W., & Hall, I. (2026). "Bayesian simultaneous
credible bands for polynomial regression" <doi:10.48550/arXiv.2606.28015>.
Author: Fei Yang [aut, cre]
Maintainer: Fei Yang <fei.yang@manchester.ac.uk>
Diff between BSCB versions 1.0.0 dated 2026-07-10 and 1.0.1 dated 2026-07-13
BSCB-1.0.0/BSCB/inst/BSCB_1.0.0.pdf |only BSCB-1.0.1/BSCB/DESCRIPTION | 8 ++++---- BSCB-1.0.1/BSCB/MD5 | 14 +++++++------- BSCB-1.0.1/BSCB/NEWS.md | 13 +++++++++++-- BSCB-1.0.1/BSCB/R/generate_data.R | 12 ++++++++---- BSCB-1.0.1/BSCB/README.md | 15 +++++++++++++++ BSCB-1.0.1/BSCB/inst/BSCB_1.0.1.pdf |only BSCB-1.0.1/BSCB/inst/doc/BSCB-vignette.html | 19 +++++++++---------- BSCB-1.0.1/BSCB/man/generate_simulation_data.Rd | 9 ++++++--- 9 files changed, 60 insertions(+), 30 deletions(-)
Title: Branding, Theme Application and Navigation Utilities for
'bs4Dash' Dashboards
Description: Provides branding, theme application, and navigation utilities for
applications built with 'bs4Dash' and 'shiny'. Supports configurable
sidebar brand display modes, hover-expand behavior, and theme
customization using CSS variables. Includes complete navbar item helpers,
navbar structure validation, reusable brand configuration, prototype
top-navigation support, and helpers for common navigation bar and footer
layouts.
Author: George Arthur [aut, cre]
Maintainer: George Arthur <prigasgenthian48@gmail.com>
Diff between bs4Dashkit versions 0.2.0 dated 2026-04-21 and 0.3.0 dated 2026-07-13
DESCRIPTION | 18 MD5 | 108 ++- NAMESPACE | 49 - NEWS.md | 303 ++++++--- R/assets.R | 62 + R/nav_buttons.R | 207 ++++++ R/navbar_title.R | 4 R/sidebar.R | 22 R/sidebar_mode.R | 995 +++++++++++++++---------------- R/theme.R | 154 ++-- R/titles.R | 391 +++++++----- R/topnav.R |only R/use_core.R | 216 ++++-- R/utils.R | 242 +++++-- README.md | 224 ++++-- build/vignette.rds |binary inst/app-assets/dash-demo-brand.js |only inst/app-assets/dash-topnav.css |only inst/app-assets/dash-topnav.js |only inst/doc/branding-and-sidebar-modes.R | 26 inst/doc/branding-and-sidebar-modes.Rmd | 132 ++-- inst/doc/branding-and-sidebar-modes.html | 259 ++++---- inst/doc/complete-example-app.R | 23 inst/doc/complete-example-app.Rmd | 57 - inst/doc/complete-example-app.html | 203 +++--- inst/doc/getting-started.R | 25 inst/doc/getting-started.Rmd | 195 +++--- inst/doc/getting-started.html | 132 ++-- inst/doc/global-options.Rmd | 26 inst/doc/global-options.html | 6 inst/doc/navigation-utilities.R | 123 ++- inst/doc/navigation-utilities.Rmd | 250 ++++--- inst/doc/navigation-utilities.html | 382 ++++++----- inst/doc/packaged-examples.R |only inst/doc/packaged-examples.Rmd |only inst/doc/packaged-examples.html |only inst/doc/top-navigation.R |only inst/doc/top-navigation.Rmd |only inst/doc/top-navigation.html |only inst/examples/hardening-regression |only inst/examples/real-shiny-app/app.R | 834 ++++++++++++------------- inst/examples/test-all/app.R | 461 +++++++------- inst/examples/topnav-prototype |only man/dash_brand_options.Rd |only man/dash_nav_help_item.Rd |only man/dash_nav_refresh_item.Rd |only man/dash_nav_status_badge.Rd |only man/dash_nav_status_item.Rd |only man/dash_titles_from.Rd |only man/dash_topnav_options.Rd |only man/use_bs4Dashkit.Rd | 41 - man/use_bs4Dashkit_core.Rd | 135 ++-- man/use_dash_sidebar_behavior.Rd | 46 - man/use_dash_topnav.Rd |only man/validate_bs4dash_navbar.Rd |only tests/testthat/test-dash-titles.R | 477 ++++++++------ tests/testthat/test-nav-buttons.R | 65 +- tests/testthat/test-packaged-examples.R |only tests/testthat/test-theme-presets.R | 110 ++- tests/testthat/test-topnav.R |only tests/testthat/test-use-core.R |only vignettes/branding-and-sidebar-modes.Rmd | 132 ++-- vignettes/complete-example-app.Rmd | 57 - vignettes/getting-started.Rmd | 195 +++--- vignettes/global-options.Rmd | 26 vignettes/navigation-utilities.Rmd | 250 ++++--- vignettes/packaged-examples.Rmd |only vignettes/top-navigation.Rmd |only 68 files changed, 4403 insertions(+), 3260 deletions(-)
Title: Spatial Interpolation using Bayesian Maximum Entropy (BME)
Description: Provides an accessible and robust implementation of core BME
methodologies for spatial prediction. It enables the systematic integration
of heterogeneous data sources including both hard data (precise
measurements) and soft interval data (bounded or uncertain observations)
while incorporating prior knowledge and supporting variogram-based spatial
modeling. The BME methodology is described in Christakos (1990)
<doi:10.1007/BF00890661>, Serre and Christakos (1999)
<doi:10.1007/s004770050029> and Duah (2025, 2026)
<doi:10.1016/j.spasta.2026.100974>.
Author: Kinspride Duah [aut, cre, cph] ,
Yan Sun [aut]
Maintainer: Kinspride Duah <kinspride2020@gmail.com>
Diff between BMEmapping versions 1.2.2 dated 2025-08-19 and 2.0.0 dated 2026-07-13
DESCRIPTION | 18 MD5 | 92 +- NAMESPACE | 15 NEWS.md | 65 - R/bme_cv.R | 138 ++- R/bme_estimate.R | 55 + R/bme_kfcv.R |only R/bme_loocv.R |only R/bme_map.R | 9 R/bme_predict.R | 93 +- R/bme_predict_ci.R |only R/ch_nhmax.R | 3 R/check_x.R | 4 R/combine_data.R |only R/covmat.R | 10 R/covmat_avg.R |only R/cs_nsmax.R | 4 R/data.R | 3 R/exponential.R | 2 R/extended_range.R | 4 R/gaussian.R | 2 R/plot.BMEmapping.R | 452 +++++++++---- R/prob_zk.R | 38 - R/q_bme_cv.R |only R/q_bme_estimate.R |only R/q_bme_kfcv.R |only R/q_bme_loocv.R |only R/q_bme_predict.R |only R/q_bme_predict_ci.R |only R/q_prob_zk.R |only R/spherical.R | 4 R/summary.BMEmapping.R | 15 R/vg_results.R |only R/zzz.R | 3 README.md | 86 +- build/partial.rdb |binary build/vignette.rds |binary inst/doc/Introduction_to_BMEmapping.R | 294 +++++--- inst/doc/Introduction_to_BMEmapping.Rmd | 578 +++++++++++----- inst/doc/Introduction_to_BMEmapping.html | 1072 ++++++++++++++++++++++--------- man/bme_cv.Rd | 59 + man/bme_map.Rd | 4 man/bme_predict.Rd | 39 - man/bme_predict_ci.Rd |only man/casnowload.Rd | 2 man/plot.BMEmapping.Rd | 19 man/prob_zk.Rd | 22 man/q_bme_cv.Rd |only man/q_bme_predict.Rd |only man/q_bme_predict_ci.Rd |only man/q_prob_zk.Rd |only tests/testthat/test-bme_cv.R | 24 tests/testthat/test-bme_predict.R | 57 + tests/testthat/test-covmat.R | 3 tests/testthat/test-prob_zk.R | 13 vignettes/Introduction_to_BMEmapping.Rmd | 578 +++++++++++----- 56 files changed, 2630 insertions(+), 1249 deletions(-)
Title: Modified Poisson Regression for Binary Outcome and Related
Methods
Description: Modified Poisson, logistic and least-squares regression analyses for binary outcomes of Zou (2004) <doi:10.1093/aje/kwh090>, Noma (2026)<doi:10.1016/j.spl.2026.110698>, and Cheung (2007) <doi:10.1093/aje/kwm223> have been standard multivariate analysis methods to estimate risk ratio and risk difference in clinical and epidemiological studies. This R package involves an easy-to-handle function to implement these analyses by simple commands. Missing data analysis tools (multiple imputation) are also involved. In addition, recent studies have shown the ordinary robust variance estimator possibly has serious bias under small or moderate sample size situations for these methods. This package also provides computational tools to calculate alternative accurate confidence intervals.
Author: Hisashi Noma [aut, cre]
Maintainer: Hisashi Noma <noma@ism.ac.jp>
Diff between rqlm versions 4.3-2 dated 2026-02-28 and 4.4-1 dated 2026-07-13
DESCRIPTION | 8 MD5 | 12 - NAMESPACE | 1 NEWS.md | 4 R/rqlm.r | 622 +++++++++++++++++++++++++++++++++++----------------- man/rqlm-package.Rd | 2 man/rqlm.Rd | 297 ++++++++++++++++++++---- 7 files changed, 680 insertions(+), 266 deletions(-)
Title: A Fast and Flexible Pipeline for Text Classification
Description: A high-level pipeline that simplifies text classification into three streamlined steps:
preprocessing, model training, and standardized prediction.
It unifies the interface for multiple algorithms (including 'glmnet', 'ranger',
'xgboost', and 'naivebayes') and memory-efficient sparse matrix vectorization
methods (Bag-of-Words, Term Frequency, TF-IDF, and Binary). Users can go from
raw text to a fully evaluated sentiment model, complete with ROC-optimized
thresholds, in just a few function calls. The resulting model artifact
automatically aligns the vocabulary of new datasets during the prediction phase,
safely appending predicted classes and probability matrices directly to the
user's original dataframe to preserve metadata.
Author: Alabhya Dahal [aut, cre]
Maintainer: Alabhya Dahal <alabhya.dahal@gmail.com>
Diff between quickSentiment versions 0.3.4 dated 2026-04-16 and 0.3.5 dated 2026-07-13
DESCRIPTION | 6 +-- MD5 | 36 +++++++++--------- NEWS.md | 5 +- R/logit.R | 15 ++++++- R/nb.R | 3 + R/pipeline.R | 25 +++++++++++- R/rf.R | 14 +++++-- R/xgb.R | 13 ++++-- README.md | 2 + inst/WORDLIST | 15 ++++--- inst/doc/introduction-to-quickSentiment.R | 2 + inst/doc/introduction-to-quickSentiment.Rmd | 2 + inst/doc/introduction-to-quickSentiment.html | 52 ++++++++++++++------------- man/logit_model.Rd | 5 ++ man/nb_model.Rd | 11 +++++ man/pipeline.Rd | 3 + man/rf_model.Rd | 11 +++++ man/xgb_model.Rd | 11 +++++ vignettes/introduction-to-quickSentiment.Rmd | 2 + 19 files changed, 162 insertions(+), 71 deletions(-)
More information about quickSentiment at CRAN
Permanent link
Title: Build 'pkgdown' Websites Offline
Description: Provides support for building 'pkgdown' websites without an
internet connection. Works by bundling cached dependencies and
implementing drop-in replacements for key 'pkgdown' functions.
Enables package documentation websites to be built in environments
where internet access is unavailable or restricted.
For more details on generating 'pkgdown' websites, see
Wickham et al. (2025) <doi:10.32614/CRAN.package.pkgdown>.
Author: Nan Xiao [aut, cre, cph] ,
John Blischak [aut] ,
Algolia, Inc. and other contributors [ctb, cph] ,
Aidan Feldman [ctb, cph] ,
Zeno Rocha [ctb, cph] ,
Nick Williams [ctb, cph] ,
Julian Kuehnel [ctb, cph] ,
Kiro Risk [ctb, cph] ,
Khan Academy and other [...truncated...]
Maintainer: Nan Xiao <me@nanx.me>
Diff between pkgdown.offline versions 0.1.2 dated 2025-11-08 and 0.1.3 dated 2026-07-13
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- NEWS.md | 11 +++++++++++ R/build.R | 5 +++++ build/partial.rdb |binary build/vignette.rds |binary inst/cache/MD5 | 7 +++++++ man/pkgdown.offline-package.Rd | 1 + 8 files changed, 35 insertions(+), 11 deletions(-)
More information about pkgdown.offline at CRAN
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Title: Performing Comprehensive Overlap Assessments
Description: The implementation of a statistical framework for performing overlap assessments on
lists comprising sets of strings (such as lists of gene sets) described in Stoica (2023)
<https://ora.ox.ac.uk/objects/uuid:b0847284-a02f-47ee-88e3-a3c4e0cdb8b1>.
It can assess overlaps of pairs of sets of strings selected either from the same universe or
from different universes, and overlaps of triplets of sets of strings selected from the same
universe. Designed for single-cell RNA-sequencing data analysis applications, but suitable
for other purposes as well.
Author: Andrei-Florian Stoica [aut, cre]
Maintainer: Andrei-Florian Stoica <andreistoica@foxmail.com>
Diff between LISTO versions 0.7.3 dated 2026-04-25 and 0.8.1 dated 2026-07-13
DESCRIPTION | 6 ++-- MD5 | 42 ++++++++++++++++---------------- R/checks.R | 5 +-- R/cutoffs.R | 52 ++++++++++++++++------------------------ R/multiple_testing.R | 5 --- R/prob_counts.R | 1 R/pval_objects.R | 12 +++------ R/run_listo.R | 21 +++++++--------- R/seurat_demo.R | 2 - R/vectors.R | 4 +++ README.md | 10 +++---- man/filterItems.Rd | 2 - man/generateCutoffs.Rd | 16 +++++++----- man/getObjectValues.Rd | 10 +++---- man/mtCorrectDF.Rd | 2 - man/mtCorrectHelper.Rd | 2 - man/mtCorrectV.Rd | 2 - man/pvalObjects.Rd | 20 +++++++++------ man/pvalObjectsCore.Rd | 9 ++++-- man/runLISTO.Rd | 22 +++++++++------- tests/testthat/helper-globals.R | 1 tests/testthat/test-LISTO.R | 30 ++++++++++++----------- 22 files changed, 140 insertions(+), 136 deletions(-)
Title: Delayed Read for 'GDAL' Vector Data Sources
Description: Lazy read for drawings. A 'dplyr' back end for data sources supported by
'GDAL' vector drivers, that allows working with local or remote sources as if they
are in-memory data frames. Basic features work with any drawing format ('GDAL vector
data source') supported by the 'gdalraster' package.
Author: Michael Sumner [aut, cre]
Maintainer: Michael Sumner <mdsumner@gmail.com>
Diff between lazysf versions 0.3.0 dated 2026-02-17 and 0.4.0 dated 2026-07-13
lazysf-0.3.0/lazysf/R/SFSQLConnection.R |only lazysf-0.3.0/lazysf/R/SFSQLDriver.R |only lazysf-0.3.0/lazysf/R/SFSQLResult.R |only lazysf-0.3.0/lazysf/R/utils-pipe.R |only lazysf-0.3.0/lazysf/man/SFSQL.Rd |only lazysf-0.3.0/lazysf/man/SFSQLConnection-class.Rd |only lazysf-0.3.0/lazysf/man/SFSQLDriver-class.Rd |only lazysf-0.3.0/lazysf/man/SFSQLResult-class.Rd |only lazysf-0.3.0/lazysf/man/dbConnect-SFSQLDriver-method.Rd |only lazysf-0.3.0/lazysf/man/pipe.Rd |only lazysf-0.3.0/lazysf/man/st_as_sf.Rd |only lazysf-0.4.0/lazysf/DESCRIPTION | 27 lazysf-0.4.0/lazysf/MD5 | 71 + lazysf-0.4.0/lazysf/NAMESPACE | 61 - lazysf-0.4.0/lazysf/NEWS.md | 150 +++ lazysf-0.4.0/lazysf/R/GDALVectorConnection.R |only lazysf-0.4.0/lazysf/R/GDALVectorDriver.R |only lazysf-0.4.0/lazysf/R/GDALVectorResult.R |only lazysf-0.4.0/lazysf/R/connect.R | 73 + lazysf-0.4.0/lazysf/R/dbplyr.R | 38 lazysf-0.4.0/lazysf/R/helper.R |only lazysf-0.4.0/lazysf/R/lazysf-package.R | 33 lazysf-0.4.0/lazysf/R/lazysf.R | 125 +- lazysf-0.4.0/lazysf/R/sql-query-fields.R |only lazysf-0.4.0/lazysf/R/sql-translation.R |only lazysf-0.4.0/lazysf/R/zzz.R | 41 lazysf-0.4.0/lazysf/README.md | 484 +++++------ lazysf-0.4.0/lazysf/build/vignette.rds |binary lazysf-0.4.0/lazysf/inst/doc/GDALSQL.R | 102 ++ lazysf-0.4.0/lazysf/inst/doc/GDALSQL.Rmd | 247 ++++- lazysf-0.4.0/lazysf/inst/doc/GDALSQL.html | 337 +++++-- lazysf-0.4.0/lazysf/inst/extdata/nc.dbf |only lazysf-0.4.0/lazysf/inst/extdata/nc.gpkg |only lazysf-0.4.0/lazysf/inst/extdata/nc.prj |only lazysf-0.4.0/lazysf/inst/extdata/nc.shp |only lazysf-0.4.0/lazysf/inst/extdata/nc.shx |only lazysf-0.4.0/lazysf/man/GDALSQL.Rd |only lazysf-0.4.0/lazysf/man/GDALVectorConnection-class.Rd |only lazysf-0.4.0/lazysf/man/GDALVectorDriver-class.Rd |only lazysf-0.4.0/lazysf/man/GDALVectorResult-class.Rd |only lazysf-0.4.0/lazysf/man/collect.tbl_GDALVectorConnection.Rd |only lazysf-0.4.0/lazysf/man/dbConnect-GDALVectorDriver-method.Rd |only lazysf-0.4.0/lazysf/man/lazysf-package.Rd | 15 lazysf-0.4.0/lazysf/man/lazysf.Rd | 91 +- lazysf-0.4.0/lazysf/man/reexports.Rd |only lazysf-0.4.0/lazysf/tests |only lazysf-0.4.0/lazysf/vignettes/GDALSQL.Rmd | 247 ++++- 47 files changed, 1396 insertions(+), 746 deletions(-)
Title: A Versatile Visualization Suite
Description: A visualization suite primarily designed for single-cell
RNA-sequencing data analysis applications but well-suited for
other purposes as well. It introduces novel plots to represent two-variable
and frequency data and optimizes some commonly used plotting options
(e.g., correlation, network, density, alluvial and volcano plots)
for ease of usage and flexibility.
Author: Andrei-Florian Stoica [aut, cre]
Maintainer: Andrei-Florian Stoica <andreistoica@foxmail.com>
Diff between henna versions 0.7.5 dated 2026-02-17 and 0.8.5 dated 2026-07-13
DESCRIPTION | 6 ++--- MD5 | 36 +++++++++++++++---------------- R/documentation.R | 4 ++- R/label_points.R | 5 +--- R/rank_plot.R | 5 ++-- R/tile_plot.R | 43 ++++++++++++++++++++++---------------- README.md | 32 +++++++++++++--------------- inst/figures/correlation_plot.png |binary inst/figures/density_plot.png |binary inst/figures/hull_plot.png |binary inst/figures/network_plot.png |binary inst/figures/radial_plot.png |binary inst/figures/rank_plot.png |binary inst/figures/tile_plot.png |binary inst/figures/volcano_plot.png |binary man/documentFun.Rd | 5 +++- man/rankPlot.Rd | 5 +++- man/tilePlot.Rd | 18 ++++++++++++--- tests/testthat/test-henna.R | 12 ++++------ 19 files changed, 97 insertions(+), 74 deletions(-)
Title: Access and Work with HCUP Resources and Datasets
Description: A comprehensive R package for accessing and working with publicly
available and free resources from the Agency for Healthcare Research and Quality
(AHRQ) Healthcare Cost and Utilization Project (HCUP). The package provides
streamlined access to HCUP's Clinical Classifications Software Refined (CCSR)
mapping files and Summary Trend Tables, enabling researchers and analysts to
efficiently map ICD-10-CM diagnosis codes and ICD-10-PCS procedure codes to
CCSR categories and access HCUP statistical reports. Key features include:
direct download from HCUP website, multiple output formats (long/wide/default),
cross-classification support, version management, citation generation, and
intelligent caching. The package does not redistribute HCUP data files but
facilitates direct download from the official HCUP website, ensuring users
always have access to the latest versions and maintain compliance with HCUP
data use policies. This package only accesses free public tools and reports;
it does NOT a [...truncated...]
Author: Vikrant Dev Rathore [aut, cre]
Maintainer: Vikrant Dev Rathore <rathore.vikrant@gmail.com>
Diff between HCUPtools versions 1.0.1 dated 2026-05-11 and 1.0.2 dated 2026-07-13
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NEWS.md | 10 ++++++++++ inst/CITATION | 30 +++++++++++++++++++++++------- inst/doc/HCUPtools.html | 4 ++-- 5 files changed, 42 insertions(+), 16 deletions(-)
Title: Classification with Parallel Factor Analysis
Description: Classification using Richard A. Harshman's Parallel Factor
Analysis-1 (Parafac) model or Parallel Factor Analysis-2 (Parafac2) model fit to
a three-way or four-way data array. See Harshman and Lundy (1994):
<doi:10.1016/0167-9473(94)90132-5>. Classification using principal component
analysis (PCA) fit to a two-way data matrix is also supported. Uses component
weights from one mode of a Parafac, Parafac2, or PCA model as features to tune
parameters for one or more classification methods via a k-fold cross-validation
procedure. Allows for constraints on different tensor modes. Allows for
inclusion of additional features alongside features generated by the component
model. Supports penalized logistic regression, support vector machine, random
forest, feed-forward neural network, regularized discriminant analysis, and
gradient boosting machine. Supports binary and multiclass classification.
Predicts class labels or class probabilities and calculates multiple
classification performanc [...truncated...]
Author: Matthew A. Asisgress [aut, cre]
Maintainer: Matthew A. Asisgress <mattgress@protonmail.ch>
Diff between cpfa versions 1.3.0 dated 2026-06-02 and 1.3.1 dated 2026-07-13
ChangeLog | 14 +++++++++++++- DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- R/pficpfa.R | 40 ++++++++++++++++++++++++++++++++-------- inst/doc/cpfa.pdf |binary man/cpfa.Rd | 3 ++- 6 files changed, 56 insertions(+), 19 deletions(-)
Title: High-Level Modeling Functions with 'torch'
Description: Provides high-level modeling functions to define and train
models using the 'torch' R package. Models include linear, logistic,
and multinomial regression as well as multilayer perceptrons.
Author: Max Kuhn [aut, cre] ,
Daniel Falbel [aut],
Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>
Diff between brulee versions 1.1.0 dated 2026-07-02 and 1.1.1 dated 2026-07-13
DESCRIPTION | 6 +- MD5 | 41 +++++++++--------- NEWS.md | 8 +++ R/0_utils.R | 46 +++++++++++++++++++++ R/aaa.R | 46 --------------------- R/chronos2-fit.R | 20 +++++---- R/chronos2-misc.R | 25 ++++++++++- R/tabicl-download.R | 46 +++++++++++---------- R/tabicl-fit.R | 12 +++-- R/training_loop.R | 9 +++- README.md | 70 ++++++++++++++++++-------------- man/brulee_chronos.Rd | 17 ++++--- man/brulee_tab_icl.Rd | 12 +++-- man/tab_icl_download_weights.Rd | 9 ++-- tests/testthat/helper-chronos2.R | 7 ++- tests/testthat/setup.R | 5 -- tests/testthat/test-0_utils.R |only tests/testthat/test-autoint.R | 2 tests/testthat/test-chronos2-misc.R | 65 +++++++++++++++++++++++++++++ tests/testthat/test-resnet-regression.R | 35 ++++++++++++++++ tests/testthat/test-tabicl-download.R | 68 ++++++++++++++++++++++++++++--- tests/testthat/test-tabicl-fit.R | 4 - 22 files changed, 388 insertions(+), 165 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-09-11 1.1.0
2018-06-15 1.0.0