Title: Tidy Integration of Large Language Models
Description: A tidy interface for integrating large language model (LLM) APIs such as 'Claude', 'OpenAI', 'Gemini', 'Mistral', and local models via 'Ollama' into R workflows. The package supports text, image, audio, video, and document interactions; a unified media interface for attaching inline files or uploading to provider file stores; batch request APIs for cost-efficient large-scale processing; and a pipeline-oriented interface for seamless integration into data workflows. Web services are available at <https://www.anthropic.com>, <https://openai.com>, <https://aistudio.google.com/>, <https://mistral.ai/> and <https://ollama.com>.
Author: Eduard Bruell [aut, cre],
Jia Zhang [ctb]
Maintainer: Eduard Bruell <eduard.bruell@zew.de>
Diff between tidyllm versions 0.5.2 dated 2026-07-30 and 0.6.0 dated 2026-09-08
DESCRIPTION | 35 +-- MD5 | 80 ++++--- NAMESPACE | 14 + NEWS.md | 302 ++++++++++++++++++++++++++++ R/APIProvider.R | 77 +++---- R/api_azure_openai.R | 127 +++++------ R/api_chat_completions.R | 382 +++++++++++++++++++----------------- R/api_claude.R | 320 +++++++++++++++++------------- R/api_deepseek.R | 83 ++++--- R/api_ellmer.R | 43 ++-- R/api_gemini.R | 256 ++++++++++++++---------- R/api_groq.R | 81 ++++--- R/api_llamacpp.R | 80 ++++--- R/api_mistral.R | 88 ++++---- R/api_ollama.R | 187 ++++++++++------- R/api_openai.R | 248 +++++++++++------------ R/api_openrouter.R | 82 +++++-- R/api_perplexity.R | 194 ++++++++++-------- R/async_chat.R |only R/chat_pipeline.R |only R/example_app.R |only R/llm_verbs.R | 158 +++++++++----- R/parallel_chat.R |only R/pdfbatch.R | 24 +- R/perform_api_requests.R | 114 ++++++++-- R/stream_pump.R |only R/tidyllm-package.R | 1 R/tools.R | 26 ++ R/utilites.R | 12 - R/zzz.R | 23 ++ inst/doc/tidyllm.Rmd | 2 inst/doc/tidyllm.html | 6 inst/examples |only man/cancel_job.Rd |only man/chatgpt.Rd | 13 - man/check_job.Rd | 17 + man/fetch_job.Rd | 17 - man/get_partial.Rd |only man/get_stream.Rd |only man/ollama_chat.Rd | 3 man/openai.Rd | 18 - man/parallel_chat.Rd |only man/pdf_page_batch.Rd | 4 man/send_chat.Rd |only man/tidyllm_example_app.Rd |only tests/testthat/test_async_chat.R |only tests/testthat/test_chat_pipeline.R |only vignettes/tidyllm.Rmd | 2 48 files changed, 1953 insertions(+), 1166 deletions(-)
Title: Optimal Test Design Approach to Fixed and Adaptive Test
Construction
Description: Uses the optimal test design approach by Birnbaum (1968, ISBN:9781593119348) and
van der Linden (2018) <doi:10.1201/9781315117430> to construct fixed, adaptive, and parallel tests.
Supports the following mixed-integer programming (MIP) solver packages: 'Rsymphony',
'highs', 'gurobi', 'lpSolve', and 'Rglpk'. The 'gurobi' package is not available from CRAN; see <https://www.gurobi.com/downloads/>.
Author: Seung W. Choi [aut, cre] ,
Sangdon Lim [aut]
Maintainer: Seung W. Choi <schoi@austin.utexas.edu>
Diff between TestDesign versions 1.7.0 dated 2024-08-22 and 1.7.1 dated 2026-09-08
DESCRIPTION | 22 MD5 | 28 NAMESPACE | 106 +- NEWS.md | 10 R/bayes_functions.R | 10 R/calculate_adaptivity_measures.r | 19 R/plot_functions.R | 4 R/print_functions.R | 4 R/shadow_class.R | 7 R/shadowtest_functions.R | 44 - R/solver_functions.R | 2 R/static_class.R | 6 build/vignette.rds |binary inst/doc/split.html | 1411 ------------------------------------- man/calculateAdaptivityMeasures.Rd | 8 15 files changed, 173 insertions(+), 1508 deletions(-)
Title: Conformal Prediction and Uncertainty Quantification
Description: Implements conformal prediction methods for constructing
prediction intervals (regression) and prediction sets (classification)
with finite-sample coverage guarantees. Methods include split conformal,
'CV+' and 'Jackknife+' (Barber et al. 2021) <doi:10.1214/20-AOS1965>,
'Conformalized Quantile Regression' (Romano et al. 2019)
<doi:10.48550/arXiv.1905.03222>, 'Adaptive Prediction Sets'
(Romano, Sesia, Candes 2020) <doi:10.48550/arXiv.2006.02544>,
'Regularized Adaptive Prediction Sets' (Angelopoulos et al. 2021)
<doi:10.48550/arXiv.2009.14193>, Mondrian conformal prediction for
group-conditional coverage (Vovk, Gammerman, and Shafer 2005)
<doi:10.1007/b106715>, weighted conformal prediction for covariate shift
(Tibshirani et al. 2019) <doi:10.48550/arXiv.1904.06019>, and adaptive
conformal inference for sequential prediction (Gibbs and Candes 2021)
<doi:10.48550/arXiv.2106.00170>.
All methods are distribution-free and provide calibrated uncertain [...truncated...]
Author: Charles Coverdale [aut, cre, cph]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Diff between predictset versions 0.3.0 dated 2026-03-19 and 0.4.0 dated 2026-09-08
DESCRIPTION | 17 +- MD5 | 88 ++++++------ NEWS.md | 118 ++++++++++++++++ R/conformal_aps.R | 61 +++++--- R/conformal_class_split.R | 6 R/conformal_cqr.R | 39 ++++- R/conformal_cv.R | 23 +-- R/conformal_jackknife.R | 73 +++++++-- R/conformal_lac.R | 32 ++-- R/conformal_mondrian.R | 103 ++++++++------ R/conformal_pvalue.R | 18 ++ R/conformal_raps.R | 37 ++--- R/conformal_split.R | 7 R/conformal_weighted.R | 96 ++++++++++--- R/diagnostics.R | 19 ++ R/model_interface.R | 227 +++++++++++++++++++++---------- R/plot.R | 18 ++ R/predict.R | 155 +++++++++------------ R/print.R | 16 ++ R/summary.R | 1 R/utils.R | 214 +++++++++++++++++++++++------ README.md | 97 +++++++++---- inst/CITATION | 14 + inst/doc/predictset.R | 5 inst/doc/predictset.Rmd | 7 inst/doc/predictset.html | 21 +- man/conformal_aci.Rd | 10 + man/conformal_aps.Rd | 37 +++-- man/conformal_class_split.Rd | 9 + man/conformal_cqr.Rd | 9 - man/conformal_cv.Rd | 6 man/conformal_jackknife.Rd | 6 man/conformal_lac.Rd | 19 ++ man/conformal_mondrian_class.Rd | 7 man/conformal_raps.Rd | 14 + man/conformal_split.Rd | 4 man/conformal_weighted.Rd | 46 +++++- man/predict.predictset_reg.Rd | 3 man/predictset-package.Rd | 3 tests/testthat/Rplots.pdf |only tests/testthat/test-audit-regressions.R |only tests/testthat/test-conformal_mondrian.R | 12 + tests/testthat/test-conformal_pvalue.R | 60 +++++++- tests/testthat/test-exact-values.R | 22 ++- tests/testthat/test-validation.R | 8 - vignettes/predictset.Rmd | 7 46 files changed, 1305 insertions(+), 489 deletions(-)
Title: HM Treasury Magenta Book Policy Evaluation Primitives
Description: Implements policy evaluation primitives from HM Treasury
Magenta Book guidance (HM Treasury, 2026): theory of change and
log-frame construction, evaluation planning and stakeholder mapping,
power and minimum-detectable-effect calculations for randomised
designs (including cluster and stepped-wedge designs following
Hussey and Hughes (2007) <doi:10.1016/j.cct.2006.05.007> and
Hemming et al. (2015) <doi:10.1136/bmj.h391>), Maryland Scientific
Methods Scale ratings, structured confidence ratings, light-weight
difference-in-differences and interrupted-time-series estimators
(Bernal et al. (2017) <doi:10.1093/ije/dyw098>) with cluster-robust
standard errors (Cameron and Miller (2015) <doi:10.3368/jhr.50.2.317>),
pre-treatment balance checks (Stuart (2010) <doi:10.1214/09-STS313>),
and cost-effectiveness analysis (cost per outcome, incremental
cost-effectiveness ratio, acceptability curves, incremental net
benefit, quality-adjusted and disability-adjusted life y [...truncated...]
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Diff between magentabook versions 0.1.0 dated 2026-04-29 and 0.1.1 dated 2026-09-08
DESCRIPTION | 21 +++--- MD5 | 74 ++++++++++++------------ NEWS.md | 19 ++++++ R/balance.R | 7 +- R/cea.R | 5 + R/confidence.R | 9 +- R/did.R | 4 + R/event_study.R | 6 + R/its.R | 5 + R/magentabook-package.R | 23 +++++-- R/planning.R | 20 +++--- R/power.R | 7 +- R/realist.R | 9 +- R/sms.R | 12 +++ R/theory.R | 15 +++- README.md | 42 ++++++++----- inst/CITATION | 10 ++- inst/doc/cost-effectiveness-with-greenbook.html | 2 inst/doc/magentabook.Rmd | 6 + inst/doc/magentabook.html | 31 +++++----- inst/extdata/data_versions.csv | 10 +-- man/magentabook-package.Rd | 23 +++++-- man/mb_balance_table.Rd | 7 +- man/mb_cmo.Rd | 4 - man/mb_confidence.Rd | 9 +- man/mb_contribution_claim.Rd | 5 - man/mb_counterfactual.Rd | 8 +- man/mb_did_2x2.Rd | 4 + man/mb_evaluation_plan.Rd | 6 - man/mb_event_study.Rd | 6 + man/mb_icer.Rd | 5 + man/mb_its.Rd | 5 + man/mb_logframe.Rd | 10 ++- man/mb_power.Rd | 7 +- man/mb_questions.Rd | 6 - man/mb_sms_rate.Rd | 12 +++ man/mb_theory_of_change.Rd | 5 - vignettes/magentabook.Rmd | 6 + 38 files changed, 306 insertions(+), 159 deletions(-)
Title: Inequality Measurement, Decomposition, and Poverty Analysis
Description: Tools for measuring income and wealth inequality. Computes the
Gini coefficient with bootstrap or asymptotic confidence intervals
following Davidson (2009) <doi:10.1016/j.jeconom.2008.11.004>, the
extended S-Gini family, Theil T and L indices (generalised entropy
family), the Atkinson index, the Kolm absolute inequality index, Palma
ratio, Hoover index, percentile ratios, and Lorenz curves. Supports
between-within group decomposition following Bourguignon (1979)
<doi:10.2307/1914138>, income share tabulation, concentration indices
for health inequality with Erreygers (2009) correction, Kakwani tax
progressivity and Reynolds-Smolensky redistribution indices,
Foster-Greer-Thorbecke poverty measures including the Sen index, growth
incidence curves following Ravallion and Chen (2003)
<doi:10.1016/S0165-1765(02)00205-7>, and Wolfson polarisation. All
functions accept optional survey weights and work with data from any
source.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Diff between inequality versions 0.1.0 dated 2026-04-20 and 0.2.0 dated 2026-09-08
DESCRIPTION | 13 +-- MD5 | 96 +++++++++++------------ NEWS.md | 105 +++++++++++++++++++++++++ R/atkinson.R | 51 +++++++++++- R/compare.R | 135 +++++++++++++++++++++++++-------- R/concentration.R | 115 +++++++++++++++++++++------- R/gini.R | 111 ++++++++++++++++++++------- R/hoover.R | 49 +++++++++-- R/kakwani.R | 129 +++++++++++++++++++++++++------ R/kolm.R | 45 ++++++++--- R/palma.R | 73 ++++++++++++++--- R/percentile_ratio.R | 38 ++++++++- R/polarisation.R | 67 ++++++++++++---- R/poverty.R | 105 ++++++++++++++++++++----- R/sgini.R | 69 ++++++++++++---- R/shares.R | 117 +++++++++++++++++++++++----- R/theil.R | 44 ++++++++++ R/utils.R | 68 ++++++++++++++-- man/inequality-package.Rd | 3 man/iq_atkinson.Rd | 32 +++++++ man/iq_compare.Rd | 48 ++++++++++- man/iq_concentration.Rd | 41 ++++++++-- man/iq_gini.Rd | 52 +++++++++++- man/iq_hoover.Rd | 28 ++++++ man/iq_kakwani.Rd | 32 +++++++ man/iq_kolm.Rd | 24 +++++ man/iq_palma.Rd | 30 ++++++- man/iq_percentile_ratio.Rd | 22 +++++ man/iq_polarisation.Rd | 26 +++++- man/iq_poverty.Rd | 28 +++++- man/iq_sgini.Rd | 32 +++++++ man/iq_shares.Rd | 43 +++++++++- man/iq_theil.Rd | 36 ++++++++ tests/testthat/Rplots.pdf |binary tests/testthat/test-atkinson.R | 9 ++ tests/testthat/test-axioms.R |only tests/testthat/test-compare.R | 19 +++- tests/testthat/test-concentration.R | 9 ++ tests/testthat/test-cross-package.R |only tests/testthat/test-gini.R | 26 ++++++ tests/testthat/test-hoover.R | 7 + tests/testthat/test-kakwani.R | 26 ++++++ tests/testthat/test-kolm.R | 13 +++ tests/testthat/test-palma.R | 7 + tests/testthat/test-percentile_ratio.R | 7 + tests/testthat/test-polarisation.R | 7 + tests/testthat/test-poverty.R | 8 + tests/testthat/test-sgini.R | 13 +++ tests/testthat/test-shares.R | 19 ++++ tests/testthat/test-theil.R | 9 ++ 50 files changed, 1748 insertions(+), 338 deletions(-)
Title: Debt Sustainability Analysis and Fiscal Risk Assessment
Description: Analyses government debt sustainability using the standard debt
dynamics framework from Blanchard (1990) <doi:10.1787/budget-v2-art12-en>
and the IMF Debt Sustainability Analysis methodology (IMF, 2013) and the
Sovereign Risk and Debt Sustainability Framework (IMF, 2022). Projects
debt-to-GDP paths, decomposes historical debt changes into interest,
growth, and primary balance contributions, and estimates fiscal reaction
functions following Bohn (1998) <doi:10.1162/003355398555793>. Produces stochastic
fan charts via Monte Carlo simulation, standardised stress tests, and IMF-
style heat map risk assessments. Computes S1/S2 sustainability gap
indicators used by the European Commission. All methods are pure
computation with no external dependencies beyond base R; works with fiscal
data from any source.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Diff between debtkit versions 0.1.2 dated 2026-03-31 and 0.1.3 dated 2026-09-08
DESCRIPTION | 9 ++++---- MD5 | 12 +++++------ NAMESPACE | 2 + NEWS.md | 5 ++++ R/gfn.R | 51 ++++++++++++++++++++++++++++++++++++++++++++++++- README.md | 23 ++++++++++++++++------ man/debtkit-package.Rd | 1 7 files changed, 86 insertions(+), 17 deletions(-)
Title: Tidy Structural Equation Modeling
Description: A tidy workflow for generating, estimating, reporting,
and plotting structural equation models using 'lavaan', 'OpenMx', or
'Mplus'. Throughout this workflow, elements of syntax, results, and graphs
are represented as 'tidy' data, making them easy to customize.
Includes functionality to estimate latent class analyses, and to plot
'dagitty' and 'igraph' objects.
Author: Caspar J. van Lissa [aut, cre] ,
Mauricio Garnier-Villarreal [ctb] ,
Frank C Gootjes [ctb]
Maintainer: Caspar J. van Lissa <c.j.vanlissa@tilburguniversity.edu>
Diff between tidySEM versions 0.2.11 dated 2026-08-20 and 0.2.12 dated 2026-09-08
DESCRIPTION | 14 MD5 | 108 ++--- NAMESPACE | 20 - R/knn_impute.R |only R/mixture-pseudo_class.R | 83 ++-- R/motley_functions.R | 41 +- R/mx_mixture.R | 1 R/plot-generate_layout.R | 17 R/plot-mixture_densities.R | 127 +----- R/random_starts.R |only R/results-table_results_mx_model.R | 5 inst/doc/Plotting_graphs.R | 6 inst/doc/Plotting_graphs.Rmd | 13 inst/doc/Plotting_graphs.html | 72 +-- inst/doc/SMART_LCA_checklist.html | 2 inst/doc/mixed_lca.html | 60 ++- man/deviances_to_thresholds.Rd | 208 +++++------ man/format_numeric.Rd |only man/random_starts.Rd |only tests/testthat/Rplots.pdf |binary tests/testthat/_problems/test-graph_sem_label-21.R | 26 - tests/testthat/_problems/test-graph_sem_label-27.R | 26 - tests/testthat/_problems/test-graph_sem_label-33.R | 26 - tests/testthat/_problems/test-graph_sem_label-39.R | 26 - tests/testthat/_problems/test-plot_digits-6.R | 10 tests/testthat/_problems/test-plot_if_edit-6.R | 26 - tests/testthat/_problems/test-plot_if_edit_overwrite_aes-3.R | 10 tests/testthat/test-plot_igraph.R | 151 ++++--- tests/testthat/test-pseudo_class_technique.R | 18 vignettes/Plotting_graphs.Rmd | 13 vignettes/gmm_bivariate_bic.png |binary vignettes/gmm_plotfit.png |binary vignettes/gmm_results.csv | 24 - vignettes/lca_aux_dep.RData |binary vignettes/lca_conf_res.csv | 40 +- vignettes/lca_plot_desc.png |binary vignettes/lca_prob.png |binary vignettes/lca_res.RData |binary vignettes/lcga_plot_fit.png |binary vignettes/lcga_tab_res.csv | 150 +++---- vignettes/lpa_bivariate.png |binary vignettes/lpa_fit_compare.csv | 4 vignettes/lpa_tab_res.csv | 48 +- vignettes/lpatabfit.csv | 8 vignettes/lpatablmr.csv | 8 vignettes/mixed_lca_bivariate.png |binary vignettes/mixed_lca_prob.png |binary vignettes/mixed_lca_profiles.png |binary vignettes/mixed_lca_res2.csv | 34 - vignettes/plot_dist.png |binary vignettes/plot_gmm_desc.png |binary vignettes/plot_gmm_desc_log.png |binary vignettes/plot_gmm_scatter.png |binary vignettes/plot_lpa_desc.png |binary vignettes/plot_traj.png |binary vignettes/plot_trans.png |binary vignettes/res_step.RData |binary 57 files changed, 686 insertions(+), 739 deletions(-)
Title: Simulating and Modeling Group (Pooled) Testing Data
Description: Provides an expectation-maximization (EM) algorithm using the approach introduced in Warasi (2023) <doi:10.1080/03610918.2021.2009867>. The EM algorithm can be used to estimate the prevalence (overall proportion) of a disease and to estimate a binary regression model from among the class of generalized linear models based on group testing data. The estimation framework we consider offers a flexible and general approach; i.e., its application is not limited to any specific group testing protocol. Consequently, the EM algorithm can model data arising from simple pooling as well as advanced pooling such as hierarchical testing, array testing, and quality control pooling. Also, provided are functions that can be used to conduct the Wald tests described in Buse (1982) <doi:10.1080/00031305.1982.10482817> and to simulate the group testing data described in Kim et al. (2007) <doi:10.1111/j.1541-0420.2007.00817.x>. We offer a function to compute relative efficiency measures, [...truncated...]
Author: Md S. Warasi [aut, cre]
Maintainer: Md S. Warasi <msarker@radford.edu>
This is a re-admission after prior archival of version 1.3.0 dated 2024-08-17
Diff between groupTesting versions 1.3.0 dated 2024-08-17 and 1.3.1 dated 2026-09-08
DESCRIPTION | 16 +-- MD5 | 35 ++++--- NAMESPACE | 9 - R/gtData_doc.R |only R/gtcode.R | 175 +++++++++++++++++++++++++++----------- R/linkfns.R | 103 +++++++++++++++------- R/propEM.R | 203 ++++++++++++++++++++++++++++----------------- R/prop_eff_main.R | 13 +- R/prop_eff_main_SUB.R | 56 ++++++++---- R/regEM.R | 198 +++++++++++++++++++++++++++++-------------- R/waldTest.R | 10 -- build |only man/array.gt.simulation.Rd | 6 - man/glm.gt.Rd | 60 +++++-------- man/glmLink.Rd | 20 +++- man/gtData.Rd |only man/hier.gt.simulation.Rd | 67 +++++++++----- man/mle.prop.eff.Rd | 8 - man/prop.gt.Rd | 85 ++++++++---------- man/waldTest.Rd | 6 - 20 files changed, 663 insertions(+), 407 deletions(-)
Title: Forecasting Models for Intermittent Time Series
Description: Extends the 'fable' framework to support forecasting methods
specifically designed for intermittent time series data, where demand
occurs sporadically with many zero values. All methods produce probabilistic
forecasts returned as 'distributional' objects. The returned forecasts can be
used to evaluate accuracy, plot and print the results seamlessly with 'fable'.
The methods include:
Harvey, Fernandes (1989) <doi:10.1080/07350015.1989.10509750>,
Willemain, Smart, Schwarz (2004) <doi:10.1016/S0169-2070(03)00013-X>,
Zhou, Viswanathan (2011) <doi:10.1016/j.ijpe.2010.09.021>,
Snyder, Ord, Beaumont (2012) <doi:10.1016/j.ijforecast.2011.03.009>,
Kolassa (2016) <doi:10.1016/j.ijforecast.2015.12.004>,
Hasni, Aguir, Babai, Jemai (2019) <doi:10.1080/00207543.2018.1424375>,
Damato, Azzimonti, Corani (2025) <doi:10.1016/j.ijforecast.2025.10.001>,
Sbrana (2025) <doi:10.1080/01605682.2025.2569661>,
Sbrana, Babai (2026) <doi:10.1016/j.ejor.2026.06.009 [...truncated...]
Author: Stefano Damato [aut, cre, cph] ,
Lorenzo Zambon [aut] ,
Dario Azzimonti [aut]
Maintainer: Stefano Damato <stefanodamato128@gmail.com>
Diff between fable.intermittent versions 0.2.0 dated 2026-07-27 and 0.3.0 dated 2026-09-08
fable.intermittent-0.2.0/fable.intermittent/R/empdistr.R |only fable.intermittent-0.2.0/fable.intermittent/R/staticdistr.R |only fable.intermittent-0.2.0/fable.intermittent/man/EMPDISTR.Rd |only fable.intermittent-0.2.0/fable.intermittent/man/STATICDISTR.Rd |only fable.intermittent-0.2.0/fable.intermittent/man/fitted.EMPDISTR.Rd |only fable.intermittent-0.2.0/fable.intermittent/man/fitted.STATICDISTR.Rd |only fable.intermittent-0.2.0/fable.intermittent/man/forecast.EMPDISTR.Rd |only fable.intermittent-0.2.0/fable.intermittent/man/forecast.STATICDISTR.Rd |only fable.intermittent-0.2.0/fable.intermittent/man/generate.EMPDISTR.Rd |only fable.intermittent-0.2.0/fable.intermittent/man/generate.STATICDISTR.Rd |only fable.intermittent-0.2.0/fable.intermittent/man/residuals.EMPDISTR.Rd |only fable.intermittent-0.2.0/fable.intermittent/man/residuals.STATICDISTR.Rd |only fable.intermittent-0.2.0/fable.intermittent/tests/testthat/test-empdistr.R |only fable.intermittent-0.2.0/fable.intermittent/tests/testthat/test-staticdistr.R |only fable.intermittent-0.3.0/fable.intermittent/DESCRIPTION | 21 fable.intermittent-0.3.0/fable.intermittent/MD5 | 138 ++- fable.intermittent-0.3.0/fable.intermittent/NAMESPACE | 143 ++-- fable.intermittent-0.3.0/fable.intermittent/NEWS.md | 32 fable.intermittent-0.3.0/fable.intermittent/R/RcppExports.R | 4 fable.intermittent-0.3.0/fable.intermittent/R/betanbb.R | 23 fable.intermittent-0.3.0/fable.intermittent/R/data.R | 57 + fable.intermittent-0.3.0/fable.intermittent/R/empsd.R |only fable.intermittent-0.3.0/fable.intermittent/R/fable.intermittent-package.R | 8 fable.intermittent-0.3.0/fable.intermittent/R/gampoisb.R | 27 fable.intermittent-0.3.0/fable.intermittent/R/hspes.R | 82 -- fable.intermittent-0.3.0/fable.intermittent/R/marwal.R | 56 - fable.intermittent-0.3.0/fable.intermittent/R/negbines.R | 44 - fable.intermittent-0.3.0/fable.intermittent/R/nnarma.R |only fable.intermittent-0.3.0/fable.intermittent/R/paramsd.R |only fable.intermittent-0.3.0/fable.intermittent/R/twees.R | 214 +++--- fable.intermittent-0.3.0/fable.intermittent/R/utils.R | 350 +++++++++- fable.intermittent-0.3.0/fable.intermittent/R/vz.R | 9 fable.intermittent-0.3.0/fable.intermittent/R/wss.R | 9 fable.intermittent-0.3.0/fable.intermittent/README.md | 26 fable.intermittent-0.3.0/fable.intermittent/data/tinyM5.rda |only fable.intermittent-0.3.0/fable.intermittent/inst/doc/fable.intermittent.R | 2 fable.intermittent-0.3.0/fable.intermittent/inst/doc/fable.intermittent.Rmd | 6 fable.intermittent-0.3.0/fable.intermittent/inst/doc/fable.intermittent.html | 48 - fable.intermittent-0.3.0/fable.intermittent/man/EMPSD.Rd |only fable.intermittent-0.3.0/fable.intermittent/man/NNARMA.Rd |only fable.intermittent-0.3.0/fable.intermittent/man/PARAMSD.Rd |only fable.intermittent-0.3.0/fable.intermittent/man/TWEES.Rd | 12 fable.intermittent-0.3.0/fable.intermittent/man/fable.intermittent-package.Rd | 3 fable.intermittent-0.3.0/fable.intermittent/man/fitted.EMPSD.Rd |only fable.intermittent-0.3.0/fable.intermittent/man/fitted.NNARMA.Rd |only fable.intermittent-0.3.0/fable.intermittent/man/fitted.PARAMSD.Rd |only fable.intermittent-0.3.0/fable.intermittent/man/forecast.BETANBB.Rd | 2 fable.intermittent-0.3.0/fable.intermittent/man/forecast.EMPSD.Rd |only fable.intermittent-0.3.0/fable.intermittent/man/forecast.GAMPOISB.Rd | 2 fable.intermittent-0.3.0/fable.intermittent/man/forecast.HSPES.Rd | 2 fable.intermittent-0.3.0/fable.intermittent/man/forecast.MARWAL.Rd | 4 fable.intermittent-0.3.0/fable.intermittent/man/forecast.NEGBINES.Rd | 2 fable.intermittent-0.3.0/fable.intermittent/man/forecast.NNARMA.Rd |only fable.intermittent-0.3.0/fable.intermittent/man/forecast.PARAMSD.Rd |only fable.intermittent-0.3.0/fable.intermittent/man/forecast.TWEES.Rd | 5 fable.intermittent-0.3.0/fable.intermittent/man/forecast.VZ.Rd | 2 fable.intermittent-0.3.0/fable.intermittent/man/forecast.WSS.Rd | 2 fable.intermittent-0.3.0/fable.intermittent/man/generate.BETANBB.Rd | 2 fable.intermittent-0.3.0/fable.intermittent/man/generate.EMPSD.Rd |only fable.intermittent-0.3.0/fable.intermittent/man/generate.GAMPOISB.Rd | 2 fable.intermittent-0.3.0/fable.intermittent/man/generate.HSPES.Rd | 2 fable.intermittent-0.3.0/fable.intermittent/man/generate.MARWAL.Rd | 2 fable.intermittent-0.3.0/fable.intermittent/man/generate.NEGBINES.Rd | 2 fable.intermittent-0.3.0/fable.intermittent/man/generate.NNARMA.Rd |only fable.intermittent-0.3.0/fable.intermittent/man/generate.PARAMSD.Rd |only fable.intermittent-0.3.0/fable.intermittent/man/generate.TWEES.Rd | 2 fable.intermittent-0.3.0/fable.intermittent/man/generate.VZ.Rd | 2 fable.intermittent-0.3.0/fable.intermittent/man/generate.WSS.Rd | 2 fable.intermittent-0.3.0/fable.intermittent/man/residuals.EMPSD.Rd |only fable.intermittent-0.3.0/fable.intermittent/man/residuals.NNARMA.Rd |only fable.intermittent-0.3.0/fable.intermittent/man/residuals.PARAMSD.Rd |only fable.intermittent-0.3.0/fable.intermittent/man/tinyM5.Rd |only fable.intermittent-0.3.0/fable.intermittent/src/RcppExports.cpp | 15 fable.intermittent-0.3.0/fable.intermittent/src/arma.cpp |only fable.intermittent-0.3.0/fable.intermittent/src/bayesian.cpp | 8 fable.intermittent-0.3.0/fable.intermittent/tests/testthat/helper.R | 41 + fable.intermittent-0.3.0/fable.intermittent/tests/testthat/test-betanbb.R | 32 fable.intermittent-0.3.0/fable.intermittent/tests/testthat/test-data.R |only fable.intermittent-0.3.0/fable.intermittent/tests/testthat/test-empsd.R |only fable.intermittent-0.3.0/fable.intermittent/tests/testthat/test-gampoisb.R | 37 + fable.intermittent-0.3.0/fable.intermittent/tests/testthat/test-hspes.R | 47 + fable.intermittent-0.3.0/fable.intermittent/tests/testthat/test-marwal.R | 55 + fable.intermittent-0.3.0/fable.intermittent/tests/testthat/test-negbines.R | 41 + fable.intermittent-0.3.0/fable.intermittent/tests/testthat/test-nnarma.R |only fable.intermittent-0.3.0/fable.intermittent/tests/testthat/test-paramsd.R |only fable.intermittent-0.3.0/fable.intermittent/tests/testthat/test-twees.R | 49 + fable.intermittent-0.3.0/fable.intermittent/tests/testthat/test-utils.R |only fable.intermittent-0.3.0/fable.intermittent/tests/testthat/test-vz.R | 36 + fable.intermittent-0.3.0/fable.intermittent/tests/testthat/test-wss.R | 46 + fable.intermittent-0.3.0/fable.intermittent/vignettes/fable.intermittent.Rmd | 6 90 files changed, 1307 insertions(+), 457 deletions(-)
More information about fable.intermittent at CRAN
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Title: Covariate-Adaptive Randomization for Clinical Trials
Description: Provides functions and command-line user interface to generate allocation sequence by covariate-adaptive randomization for clinical trials. The package currently supports six covariate-adaptive randomization procedures. Three hypothesis testing methods that are valid and robust under covariate-adaptive randomization are also available in the package to facilitate the inference for treatment effect under the included randomization procedures. Additionally, the package provides comprehensive and efficient tools to allow one to evaluate and compare the performance of randomization procedures and tests based on various criteria. See Ma W, Ye X, Tu F, and Hu F (2023) <doi: 10.18637/jss.v107.i02> for details.
Author: Fuyi Tu [aut, cre],
Xiaoqing Ye [aut],
Wei Ma [aut, ths],
Feifang Hu [aut, ths]
Maintainer: Fuyi Tu <tufy@cqupt.edu.cn>
This is a re-admission after prior archival of version 2.2.1 dated 2023-09-05
Diff between carat versions 2.2.1 dated 2023-09-05 and 2.3.0 dated 2026-09-08
DESCRIPTION | 26 +++++++++++++------------- MD5 | 10 +++++----- R/rand_completeData.R | 2 +- R/rand_evalRand.R | 6 +++--- R/rand_generatingData.R | 12 ++++++------ inst/NEWS.Rd | 6 ++++++ 6 files changed, 34 insertions(+), 28 deletions(-)
Title: Exact Sequential Analysis for Poisson and Binomial Data
Description: Functions to calculate exact critical values, statistical power, expected time to signal, and required sample sizes for performing exact sequential analysis. All these calculations can be done for either Poisson or binomial data, for continuous or group sequential analyses, and for different types of rejection boundaries. In case of group sequential analyses, the group sizes do not have to be specified in advance and the alpha spending can be arbitrarily settled. For regression versions of the methods, Monte Carlo and asymptotic methods are used.
Author: Ivair Ramos Silva [aut, cre],
Martin Kulldorff [aut]
Maintainer: Ivair Ramos Silva <ivair@ufop.edu.br>
Diff between Sequential versions 4.6.1 dated 2026-07-05 and 4.6.2 dated 2026-09-08
DESCRIPTION | 8 +- MD5 | 8 +- R/Analyze.Multinomial.R | 155 +++++++++++++++++++++------------------------ man/Analyze.Multinomial.Rd | 12 +-- man/Sequential-package.Rd | 7 +- 5 files changed, 92 insertions(+), 98 deletions(-)
Title: Automatic Stacked Ensemble for Regression Tasks
Description: Stacked ensembles for regression tasks using the 'mlr3' framework,
internal preprocessing and out-of-fold stacking, and hyperparameter tuning
using grid or random search. Supports numeric and categorical predictors.
Author: Giancarlo Vercellino [aut, cre]
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>
Diff between sense versions 1.1.0 dated 2024-06-19 and 1.2.0 dated 2026-09-08
DESCRIPTION | 43 ++-- MD5 | 23 +- NAMESPACE | 17 - NEWS.md | 44 ++++ R/ensemble.R |only R/main.R | 420 ++++++++++++++++++--------------------------- R/preprocess.R |only R/sense.R | 2 R/tuning.R |only build |only inst |only man/plot.sense_pipeline.Rd |only man/sense.Rd | 43 +++- tests |only vignettes |only 15 files changed, 288 insertions(+), 304 deletions(-)
Title: Radiocarbon Calibration Curves
Description: The IntCal20 radiocarbon calibration curves (Reimer et al. 2020 <doi:10.1017/RDC.2020.68>) are provided as a data package, together with previous IntCal curves (IntCal13, IntCal09, IntCal04, IntCal98), other curves (e.g., NOTCal04 [van der Plicht et al. 2004], Arnold & Libby 1951, Stuiver & Suess 1966, Pearson & Stuiver 1986) and postbomb curves. Also provided are functions to copy the curves into memory, and to read, query and plot the data underlying the IntCal20 curves.
Author: Maarten Blaauw [aut, cre] ,
Christopher Bronk Ramsey [ctb]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>
Diff between rintcal versions 1.4.1 dated 2026-06-23 and 1.4.2 dated 2026-09-08
rintcal-1.4.1/rintcal/inst/extdata/Santos.14C |only rintcal-1.4.2/rintcal/DESCRIPTION | 16 - rintcal-1.4.2/rintcal/MD5 | 33 +-- rintcal-1.4.2/rintcal/NAMESPACE | 66 ++++--- rintcal-1.4.2/rintcal/NEWS.md | 7 rintcal-1.4.2/rintcal/R/data.R | 37 ++- rintcal-1.4.2/rintcal/R/file_formatting.R | 7 rintcal-1.4.2/rintcal/R/intcal_json.R | 24 +- rintcal-1.4.2/rintcal/R/rintcal.R | 223 +++++++++++------------- rintcal-1.4.2/rintcal/build/partial.rdb |binary rintcal-1.4.2/rintcal/build/vignette.rds |binary rintcal-1.4.2/rintcal/inst/doc/rintcal.html | 32 +-- rintcal-1.4.2/rintcal/man/ccurve.Rd | 49 ++++- rintcal-1.4.2/rintcal/man/glue.ccurves.Rd | 4 rintcal-1.4.2/rintcal/man/intcal.data.Rd | 3 rintcal-1.4.2/rintcal/man/intcal.plot.record.Rd | 8 rintcal-1.4.2/rintcal/man/list.ccurves.Rd | 1 rintcal-1.4.2/rintcal/man/mix.ccurves.Rd | 4 18 files changed, 288 insertions(+), 226 deletions(-)
Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra
Library
Description: 'Armadillo' is a templated C++ linear algebra library aiming towards
a good balance between speed and ease of use. It provides high-level syntax and
functionality deliberately similar to Matlab. It is useful for algorithm development
directly in C++, or quick conversion of research code into production environments.
It provides efficient classes for vectors, matrices and cubes where dense and sparse
matrices are supported. Integer, floating point and complex numbers are supported.
A sophisticated expression evaluator (based on template meta-programming) automatically
combines several operations to increase speed and efficiency. Dynamic evaluation
automatically chooses optimal code paths based on detected matrix structures.
Matrix decompositions are provided through integration with LAPACK, or one of its
high performance drop-in replacements (such as 'MKL' or 'OpenBLAS'). It can
automatically use 'OpenMP' multi-threading (parallelisation) to speed up
computationally expensive operations [...truncated...]
Author: Dirk Eddelbuettel [aut, cre] ,
Romain Francois [aut] ,
Doug Bates [aut] ,
Binxiang Ni [aut],
Conrad Sanderson [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between RcppArmadillo versions 15.4.2-1 dated 2026-07-25 and 15.6.0-1 dated 2026-09-08
RcppArmadillo-15.4.2-1/RcppArmadillo/inst/include/armadillo_bits/fn_inplace_strans.hpp |only RcppArmadillo-15.4.2-1/RcppArmadillo/inst/include/armadillo_bits/fn_inplace_trans.hpp |only RcppArmadillo-15.4.2-1/RcppArmadillo/inst/include/armadillo_bits/fn_strans.hpp |only RcppArmadillo-15.4.2-1/RcppArmadillo/inst/include/armadillo_bits/fn_trans.hpp |only RcppArmadillo-15.6.0-1/RcppArmadillo/ChangeLog | 13 RcppArmadillo-15.6.0-1/RcppArmadillo/DESCRIPTION | 8 RcppArmadillo-15.6.0-1/RcppArmadillo/MD5 | 72 +- RcppArmadillo-15.6.0-1/RcppArmadillo/configure | 18 RcppArmadillo-15.6.0-1/RcppArmadillo/configure.ac | 2 RcppArmadillo-15.6.0-1/RcppArmadillo/inst/NEWS.Rd | 14 RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo | 12 RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/BaseCube_bones.hpp | 4 RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/BaseCube_meat.hpp | 30 RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/Cube_bones.hpp | 8 RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/Cube_meat.hpp | 76 -- RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/Mat_bones.hpp | 10 RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/Mat_meat.hpp | 96 -- RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/SpMat_bones.hpp | 6 RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/SpMat_meat.hpp | 48 - RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/arma_forward.hpp | 1 RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/arma_version.hpp | 6 RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/field_bones.hpp | 7 RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/field_meat.hpp | 48 - RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_cubemul.hpp |only RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_inplace_xtrans.hpp |only RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_permute.hpp |only RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_powext.hpp | 73 -- RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_xtrans.hpp |only RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_cubemul_bones.hpp |only RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_cubemul_meat.hpp |only RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_powext_bones.hpp | 12 RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_powext_meat.hpp | 359 ---------- RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_solve_bones.hpp | 3 RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_solve_meat.hpp | 23 RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_times_misc_meat.hpp | 4 RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/op_htrans_bones.hpp | 11 RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/op_htrans_meat.hpp | 86 ++ RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/op_permute_bones.hpp |only RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/op_permute_meat.hpp |only RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/op_strans_bones.hpp | 14 RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/op_strans_meat.hpp | 48 + RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/strip.hpp | 158 ++++ RcppArmadillo-15.6.0-1/RcppArmadillo/inst/include/armadillo_bits/traits.hpp | 145 ++-- 43 files changed, 520 insertions(+), 895 deletions(-)
Title: Methods and Classes for the OMOP Common Data Model
Description: Provides definitions of core classes and methods used by analytic
pipelines that query the OMOP (Observational Medical Outcomes Partnership)
common data model.
Author: Marti Catala [aut, cre] ,
Edward Burn [aut] ,
Mike Du [ctb] ,
Yuchen Guo [ctb] ,
Adam Black [ctb] ,
Marta Alcalde-Herraiz [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>
Diff between omopgenerics versions 1.4.1 dated 2026-07-23 and 1.4.2 dated 2026-09-08
DESCRIPTION | 6 MD5 | 72 +- NEWS.md | 5 R/documentationHelpers.R | 7 R/exportCodelist.R | 1 R/exportCodelistWithDetails.R | 1 R/exportConceptSetExpression.R | 1 R/importConceptSetExpression.R | 3 R/sysdata.rda |binary R/utilities.R | 8 data/supportedCdmVersions.rda |binary inst/doc/expanding_omopgenerics.R | 4 inst/doc/expanding_omopgenerics.Rmd | 4 inst/doc/expanding_omopgenerics.html | 4 inst/doc/logging.html | 52 - inst/doc/summarised_result.html | 886 +++++++++++++-------------- man/achillesColumns.Rd | 3 man/achillesTables.Rd | 3 man/cdmFromTables.Rd | 4 man/cdmVersionArgumentDoc.Rd | 4 man/cohortColumns.Rd | 3 man/cohortTables.Rd | 3 man/compareOmopTableFields.Rd | 8 man/emptyCdmReference.Rd | 4 man/newAchillesTable.Rd | 3 man/newCdmReference.Rd | 4 man/newOmopTable.Rd | 3 man/omopCdmVersionDoc.Rd | 3 man/omopColumns.Rd | 3 man/omopTables.Rd | 3 man/validateAchillesTable.Rd | 3 man/validateOmopTable.Rd | 3 tests/testthat/test-classCdmReference.R | 14 tests/testthat/test-emptyObjects.R | 2 tests/testthat/test-exportSummarisedResult.R | 2 tests/testthat/test-utilities.R | 18 vignettes/expanding_omopgenerics.Rmd | 4 37 files changed, 601 insertions(+), 550 deletions(-)
Title: Kernel Fisher Discriminant Analysis
Description: Kernel Fisher Discriminant Analysis (KFDA) is performed using Kernel Principal Component Analysis (KPCA) and Fisher Discriminant Analysis (FDA).
There are some similar packages. First, 'lfda' is a package that performs Local Fisher Discriminant Analysis (LFDA) and performs other functions.
In particular, 'lfda' seems to be impossible to test because it needs the label information of the data in the function argument. Also, the 'ks' package has a limited dimension, which makes it difficult to analyze properly.
This package is a simple and practical package for KFDA based on the paper of Yang, J., Jin, Z., Yang, J. Y., Zhang, D., and Frangi, A. F. (2004) <DOI:10.1016/j.patcog.2003.10.015>.
Author: Donghwan Kim [aut, cre]
Maintainer: Donghwan Kim <donhkim9714@korea.ac.kr>
Diff between kfda versions 1.0.0 dated 2017-09-27 and 1.0.1 dated 2026-09-08
DESCRIPTION | 15 +++++++++------ MD5 | 4 ++-- man/kfda.Rd | 2 +- 3 files changed, 12 insertions(+), 9 deletions(-)
Title: Multivariate Exploratory Data Analysis and Data Mining
Description: Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis. F. Husson, S. Le and J. Pages (2017).
Author: Francois Husson [aut, cre] ,
Julie Josse [aut],
Sebastien Le [aut],
Jeremy Mazet [aut]
Maintainer: Francois Husson <francois.husson@institut-agro.fr>
Diff between FactoMineR versions 2.16 dated 2026-07-02 and 2.17 dated 2026-09-08
DESCRIPTION | 8 +++---- MD5 | 26 +++++++++++------------ NAMESPACE | 1 R/CA.R | 2 - R/DMFA.R | 2 - R/FAMD.R | 2 - R/GPA.R | 3 -- R/HMFA.R | 4 +-- R/MCA.R | 2 - R/MFA.R | 2 - R/PCA.R | 2 - R/theme_factominer.R | 54 +++++++++++++++++++++++++++--------------------- R/zz.R | 9 ++++++++ man/theme_factominer.Rd | 4 +-- 14 files changed, 68 insertions(+), 53 deletions(-)
Title: A Goodness-of-Fit Test for Elliptical Distributions with
Diagnostic Capabilities
Description: A goodness-of-fit test for elliptical distributions with diagnostic
capabilities. Gilles R. Ducharme, Pierre Lafaye de Micheaux (2020) <doi:10.1016/j.jmva.2020.104602>.
Author: Gilles R Ducharme [aut],
Pierre Lafaye De Micheaux [aut, cre]
Maintainer: Pierre Lafaye De Micheaux <lafaye@unsw.edu.au>
Diff between ECGofTestDx versions 0.5 dated 2024-10-11 and 0.6 dated 2026-09-08
DESCRIPTION | 8 +-- MD5 | 8 +-- NAMESPACE | 1 R/SmoothECTest.R | 131 ++++++++++++++++++++++++++++++++++++++++++++++--------- inst/HISTORY | 10 ++++ 5 files changed, 130 insertions(+), 28 deletions(-)
Title: Vectorised Probability Distributions
Description: Vectorised distribution objects with tools for manipulating,
visualising, and using probability distributions. Designed to allow model
prediction outputs to return distributions rather than their parameters,
allowing users to directly interact with predictive distributions in a
data-oriented workflow. In addition to providing generic replacements for
p/d/q/r functions, other useful statistics can be computed including means,
variances, intervals, and highest density regions.
Author: Mitchell O'Hara-Wild [aut, cre] ,
Matthew Kay [aut] ,
Alex Hayes [aut] ,
Rob Hyndman [aut] ,
Earo Wang [ctb] ,
Vencislav Popov [ctb] ,
Stefano Damato [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>
Diff between distributional versions 0.8.1 dated 2026-06-27 and 0.9.0 dated 2026-09-08
DESCRIPTION | 19 +- MD5 | 63 ++++-- NAMESPACE | 34 +++ NEWS.md | 33 +++ R/default.R | 26 ++ R/dist_cdf.R |only R/dist_convolved.R | 308 ++++++++++++++++++++++++++++------ R/dist_density.R |only R/dist_hypergeometric.R | 12 - R/dist_percentile.R | 63 +++++- R/dist_transformed.R | 79 +++++++- R/dist_tweedie.R |only R/distribution.R | 113 +++++++++++- R/utils.R | 73 +++++++- build |only inst |only man/cdf.Rd | 4 man/density.distribution.Rd | 4 man/dist_cdf.Rd |only man/dist_convolved.Rd | 45 +++- man/dist_density.Rd |only man/dist_quantile.Rd | 7 man/dist_transformed.Rd | 19 +- man/dist_tweedie.Rd |only man/distributional-package.Rd | 1 man/family.distribution.Rd | 35 +++ man/generate.distribution.Rd | 11 + man/parameters.Rd | 28 ++- man/quantile.distribution.Rd | 4 tests/testthat/test-apply.R | 62 ++++++ tests/testthat/test-dist-cdf.R |only tests/testthat/test-dist-convolved.R | 115 ++++++++++++ tests/testthat/test-dist-density.R |only tests/testthat/test-dist-tweedie.R |only tests/testthat/test-distribution.R | 144 +++++++++++++++ tests/testthat/test-transformations.R | 48 +++++ vignettes |only 37 files changed, 1203 insertions(+), 147 deletions(-)
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Title: 'parsnip' Engines for Survival Models
Description: Engines for survival models from the 'parsnip' package. These
include parametric models (e.g., Jackson (2016)
<doi:10.18637/jss.v070.i08>), semi-parametric (e.g., Simon et al
(2011) <doi:10.18637/jss.v039.i05>), and tree-based models (e.g.,
Buehlmann and Hothorn (2007) <doi:10.1214/07-STS242>).
Author: Emil Hvitfeldt [aut] ,
Hannah Frick [aut, cre] ,
Posit Software, PBC [cph, fnd]
Maintainer: Hannah Frick <hannah@posit.co>
Diff between censored versions 0.3.4 dated 2026-04-04 and 0.3.5 dated 2026-09-08
DESCRIPTION | 6 MD5 | 12 - NEWS.md | 4 tests/testthat/_snaps/proportional_hazards-glmnet.md | 155 +++++++------------ tests/testthat/test-bag_tree-rpart.R | 24 -- tests/testthat/test-proportional_hazards-glmnet.R | 5 tests/testthat/test-proportional_hazards-survival.R | 2 7 files changed, 78 insertions(+), 130 deletions(-)
Title: A Unified Framework for Versioned, Traceable Tabular Data
Description: Provides versioned storage for tabular data without a database
or a server. Each table is written as an immutable, content-addressed
version -- identical content is detected and stored only once -- while its
version history and metadata are kept as code in a 'git' repository and the
data itself in a local filesystem or cloud object storage ('S3'). Any past
version can be read back exactly by its identifier, and each table records
the sources it was derived from, so a project carries full data lineage. A
lightweight reader role retrieves current or historical data from storage
alone, without 'git' or write access, giving downstream analyses and
pipelines a single versioned source of truth. It targets analytical and
scientific data management, such as preparing clinical study datasets, and
is designed as a foundation for higher-level governance tooling.
Author: Afshin Mashadi-Hossein [aut, cre, cph]
Maintainer: Afshin Mashadi-Hossein <amashadihossein@gmail.com>
Diff between datom versions 0.1.1 dated 2026-09-01 and 0.1.2 dated 2026-09-08
DESCRIPTION | 6 +++--- MD5 | 13 +++++++------ NEWS.md | 14 ++++++++++++++ tests/testthat/helper-git.R |only tests/testthat/test-conn.R | 8 ++++---- tests/testthat/test-identity-contract.R | 2 +- tests/testthat/test-sync.R | 18 +++++++++--------- tests/testthat/test-utils-git.R | 7 +++++-- 8 files changed, 43 insertions(+), 25 deletions(-)