Title: Simplified Vertex-Wise Analyses of Whole-Brain and Hippocampal
Surface
Description: Provides functions to run statistical analyses on
surface-based neuroimaging data, computing measures including cortical
thickness and surface area of the whole-brain and of the hippocampi.
It can make use of 'FreeSurfer', 'fMRIprep' and 'HCP' preprocessed
datasets and 'HippUnfold' hippocampal segmentation outputs for a given
sample by restructuring the data values into a single file. The single
file can then be used by the package for analyses independently from
its base dataset and without need for its access.
Author: Junhong Yu [aut] ,
Charly Billaud [aut, cre]
Maintainer: Charly Billaud <charly.billaud@ntu.edu.sg>
Diff between VertexWiseR versions 1.2.0 dated 2024-12-12 and 1.2.1 dated 2025-03-09
DESCRIPTION | 8 - MD5 | 42 ++++---- NAMESPACE | 2 NEWS.md | 12 ++ R/SURFvextract.R | 9 + R/VWRfirstrun.R | 150 ++++++++++++++++++++--------- R/vertTFCE.R | 2 R/vertmixedTFCE.R | 18 +-- R/vertwise.R | 19 ++- R/zzz.R |only README.md | 14 +- build/vignette.rds |binary inst/doc/Python_troubleshooting.html |only inst/doc/Python_troubleshooting.html.asis |only man/RFT_vertex_analysis.Rd | 2 man/SURFvextract.Rd | 2 man/TFCE_vertex_analysis.Rd | 2 man/TFCE_vertex_analysis_mixed.Rd | 2 man/VWRfirstrun.Rd | 5 man/figures/Flowchart.jpg |binary vignettes/Python_troubleshooting.Rmd | 70 +++++++++---- vignettes/Python_troubleshooting.html.asis |only vignettes/VertexWiseR_Example_1.Rmd | 2 vignettes/VertexWiseR_Example_2.Rmd | 4 24 files changed, 243 insertions(+), 122 deletions(-)
Title: Nonparametric Preprocessing for Parametric Causal Inference
Description: Selects matched samples of the original treated and
control groups with similar covariate distributions -- can be
used to match exactly on covariates, to match on propensity
scores, or perform a variety of other matching procedures. The
package also implements a series of recommendations offered in
Ho, Imai, King, and Stuart (2007) <DOI:10.1093/pan/mpl013>. (The
'gurobi' package, which is not on CRAN, is optional and comes with
an installation of the Gurobi Optimizer, available at
<https://www.gurobi.com>.)
Author: Daniel Ho [aut] ,
Kosuke Imai [aut] ,
Gary King [aut] ,
Elizabeth Stuart [aut] ,
Alex Whitworth [ctb],
Noah Greifer [cre, aut]
Maintainer: Noah Greifer <noah.greifer@gmail.com>
Diff between MatchIt versions 4.7.0 dated 2025-01-12 and 4.7.1 dated 2025-03-09
DESCRIPTION | 10 MD5 | 88 +++--- NEWS.md | 6 R/aux_functions.R | 160 ++++------- R/discard.R | 10 R/dist_functions.R | 29 +- R/distance2_methods.R | 14 R/get_weights_from_subclass.R | 8 R/input_processing.R | 84 +++-- R/match.qoi.R | 20 - R/match_data.R | 10 R/matchit.R | 32 +- R/matchit2cardinality.R | 57 +-- R/matchit2cem.R | 18 - R/matchit2exact.R | 2 R/matchit2full.R | 29 -- R/matchit2genetic.R | 67 ++-- R/matchit2nearest.R | 152 +++++----- R/matchit2optimal.R | 46 +-- R/matchit2quick.R | 8 R/matchit2subclass.R | 16 - R/plot.matchit.R | 161 +++++------ R/plot.summary.matchit.R | 6 R/rbind.matchdata.R | 4 R/summary.matchit.R | 128 ++++---- R/utils.R | 91 +++--- build/stage23.rdb |binary build/vignette.rds |binary inst/doc/MatchIt.Rmd | 20 - inst/doc/MatchIt.html | 22 - inst/doc/assessing-balance.html | 6 inst/doc/estimating-effects.Rmd | 22 + inst/doc/estimating-effects.html | 548 +++++++++++++++++--------------------- inst/doc/matching-methods.Rmd | 8 inst/doc/matching-methods.html | 74 ++--- inst/doc/sampling-weights.Rmd | 12 inst/doc/sampling-weights.html | 237 ++++------------ src/internal.cpp | 38 +- src/nn_matchC_distmat_closest.cpp | 2 src/preprocess_matchC.cpp | 2 vignettes/MatchIt.Rmd | 20 - vignettes/estimating-effects.Rmd | 22 + vignettes/matching-methods.Rmd | 8 vignettes/references.bib | 48 +-- vignettes/sampling-weights.Rmd | 12 45 files changed, 1126 insertions(+), 1231 deletions(-)
Title: OPTICS K-Xi Density-Based Clustering
Description: Density-based clustering methods are well adapted to the clustering of high-dimensional data and enable the discovery of core groups of various shapes despite large amounts of noise. This package provides a novel density-based cluster extraction method, OPTICS k-Xi, and a framework to compare k-Xi models using distance-based metrics to investigate datasets with unknown number of clusters. The vignette first introduces density-based algorithms with simulated datasets, then presents and evaluates the k-Xi cluster extraction method. Finally, the models comparison framework is described and experimented on 2 genetic datasets to identify groups and their discriminating features. The k-Xi algorithm is a novel OPTICS cluster extraction method that specifies directly the number of clusters and does not require fine-tuning of the steepness parameter as the OPTICS Xi method. Combined with a framework that compares models with varying parameters, the OPTICS k-Xi method can identify groups in nois [...truncated...]
Author: Thomas Charlon [aut, cre]
Maintainer: Thomas Charlon <charlon@protonmail.com>
Diff between opticskxi versions 1.2.0 dated 2025-02-26 and 1.2.1 dated 2025-03-09
opticskxi-1.2.0/opticskxi/tests/testthat/Rplots.pdf |only opticskxi-1.2.1/opticskxi/DESCRIPTION | 10 ++-- opticskxi-1.2.1/opticskxi/MD5 | 14 +++--- opticskxi-1.2.1/opticskxi/NAMESPACE | 3 - opticskxi-1.2.1/opticskxi/R/dist_matrix.R | 33 ++++++++++++++-- opticskxi-1.2.1/opticskxi/R/package.R | 2 opticskxi-1.2.1/opticskxi/inst/doc/ensemble_metrics.pdf |binary opticskxi-1.2.1/opticskxi/inst/doc/opticskxi.pdf |binary opticskxi-1.2.1/opticskxi/man/normalize.Rd |only 9 files changed, 45 insertions(+), 17 deletions(-)
Title: Geostatistical Analysis and Design of Optimal Spatial Sampling
Networks
Description: Estimation of the variogram through trimmed mean, radial basis
functions (optimization, prediction and cross-validation), summary
statistics from cross-validation, pocket plot, and design of
optimal sampling networks through sequential and simultaneous
points methods.
Author: Carlos Melo [aut] ,
Ali Santacruz [aut, cre],
Oscar Melo [aut]
Maintainer: Ali Santacruz <amsantac@unal.edu.co>
Diff between geospt versions 1.0-4 dated 2024-02-20 and 1.0-5 dated 2025-03-09
geospt-1.0-4/geospt/R/criterio.cv.R |only geospt-1.0-4/geospt/man/criterio.cv.Rd |only geospt-1.0-5/geospt/DESCRIPTION | 27 +++++++++++++++++++++------ geospt-1.0-5/geospt/MD5 | 30 ++++++++++++++---------------- geospt-1.0-5/geospt/inst/CITATION | 6 +++--- geospt-1.0-5/geospt/man/COSha10.Rd | 2 +- geospt-1.0-5/geospt/man/COSha10map.Rd | 2 +- geospt-1.0-5/geospt/man/COSha30.Rd | 2 +- geospt-1.0-5/geospt/man/COSha30map.Rd | 2 +- geospt-1.0-5/geospt/man/criteria.cv.Rd | 4 ++-- geospt-1.0-5/geospt/man/geospt-package.Rd | 4 ++-- geospt-1.0-5/geospt/man/graph.rbf.Rd | 18 +++++++++--------- geospt-1.0-5/geospt/man/idw.cv.Rd | 2 +- geospt-1.0-5/geospt/man/lalib.Rd | 2 +- geospt-1.0-5/geospt/man/network.design.Rd | 30 +++++++++++++----------------- geospt-1.0-5/geospt/man/seqPtsOptNet.Rd | 2 +- geospt-1.0-5/geospt/man/simPtsOptNet.Rd | 2 +- 17 files changed, 72 insertions(+), 63 deletions(-)
Title: Retrieve and Analyze Clinical Trials in Public Registers
Description: A system for querying, retrieving and analyzing
protocol- and results-related information on clinical trials from
four public registers, the 'European Union Clinical Trials Register'
('EUCTR', <https://www.clinicaltrialsregister.eu/>),
'ClinicalTrials.gov' (<https://clinicaltrials.gov/> and also
translating queries the retired classic interface), the
'ISRCTN' (<http://www.isrctn.com/>) and the
'European Union Clinical Trials Information System'
('CTIS', <https://euclinicaltrials.eu/>).
Trial information is downloaded, converted and stored in a database
('PostgreSQL', 'SQLite', 'DuckDB' or 'MongoDB'; via package 'nodbi').
Documents in registers associated with trials can also be downloaded.
Other functions implement trial concepts canonically across registers,
identify deduplicated records, easily find and extract variables
(fields) of interest even from complex nested data as used by the
registers, merge variables and update queries.
The package can be used for [...truncated...]
Author: Ralf Herold [aut, cre]
Maintainer: Ralf Herold <ralf.herold@mailbox.org>
Diff between ctrdata versions 1.20.0 dated 2024-12-14 and 1.21.0 dated 2025-03-09
ctrdata-1.20.0/ctrdata/inst/doc/ctrdata_install.pdf |only ctrdata-1.20.0/ctrdata/inst/doc/ctrdata_install.pdf.asis |only ctrdata-1.20.0/ctrdata/inst/doc/ctrdata_retrieve.pdf |only ctrdata-1.20.0/ctrdata/inst/doc/ctrdata_retrieve.pdf.asis |only ctrdata-1.20.0/ctrdata/inst/doc/ctrdata_summarise.pdf |only ctrdata-1.20.0/ctrdata/inst/doc/ctrdata_summarise.pdf.asis |only ctrdata-1.20.0/ctrdata/inst/tinytest/more_test_ctrdata_param_checks.R |only ctrdata-1.20.0/ctrdata/inst/tinytest/sample_error_trials_euctr.txt |only ctrdata-1.20.0/ctrdata/inst/tinytest/test_ctrdata_ctrfindactivesubstance.R |only ctrdata-1.20.0/ctrdata/inst/tinytest/test_ctrdata_other_functions.R |only ctrdata-1.20.0/ctrdata/vignettes/ctgov2nestedresults.png |only ctrdata-1.20.0/ctrdata/vignettes/ctisnested.png |only ctrdata-1.20.0/ctrdata/vignettes/ctrdata_install.pdf.asis |only ctrdata-1.20.0/ctrdata/vignettes/ctrdata_retrieve.pdf.asis |only ctrdata-1.20.0/ctrdata/vignettes/ctrdata_summarise.pdf.asis |only ctrdata-1.20.0/ctrdata/vignettes/nb2.png |only ctrdata-1.21.0/ctrdata/DESCRIPTION | 26 ctrdata-1.21.0/ctrdata/MD5 | 184 + ctrdata-1.21.0/ctrdata/NAMESPACE | 40 ctrdata-1.21.0/ctrdata/NEWS.md | 16 ctrdata-1.21.0/ctrdata/R/ctrFindActiveSubstanceSynonyms.R | 75 ctrdata-1.21.0/ctrdata/R/ctrGenerateQueries.R |only ctrdata-1.21.0/ctrdata/R/ctrGetQueryUrl.R | 19 ctrdata-1.21.0/ctrdata/R/ctrLoadQueryIntoDb.R | 18 ctrdata-1.21.0/ctrdata/R/ctrLoadQueryIntoDbCtgov2.R | 195 + ctrdata-1.21.0/ctrdata/R/ctrLoadQueryIntoDbEuctr.R | 17 ctrdata-1.21.0/ctrdata/R/ctrOpenSearchPagesInBrowser.R | 8 ctrdata-1.21.0/ctrdata/R/ctrShowOneTrial.R | 37 ctrdata-1.21.0/ctrdata/R/ctrdata-package.R | 12 ctrdata-1.21.0/ctrdata/R/ctrdata-registers.R | 86 ctrdata-1.21.0/ctrdata/R/ctrdata-trial-concepts.R |only ctrdata-1.21.0/ctrdata/R/ctrdata.R |only ctrdata-1.21.0/ctrdata/R/dbFindFields.R | 8 ctrdata-1.21.0/ctrdata/R/dbFindIdsUniqueTrials.R | 247 +- ctrdata-1.21.0/ctrdata/R/dbGetFieldsIntoDf.R | 220 +- ctrdata-1.21.0/ctrdata/R/dbQueryHistory.R | 10 ctrdata-1.21.0/ctrdata/R/dfMergeVariablesRelevel.R | 104 ctrdata-1.21.0/ctrdata/R/dfName2Value.R | 9 ctrdata-1.21.0/ctrdata/R/dfTrials2Long.R | 11 ctrdata-1.21.0/ctrdata/R/f_controlType.R |only ctrdata-1.21.0/ctrdata/R/f_isMedIntervTrial.R |only ctrdata-1.21.0/ctrdata/R/f_isUniqueTrial.R |only ctrdata-1.21.0/ctrdata/R/f_likelyPlatformTrial.R |only ctrdata-1.21.0/ctrdata/R/f_numSites.R |only ctrdata-1.21.0/ctrdata/R/f_numTestArmsSubstances.R |only ctrdata-1.21.0/ctrdata/R/f_primaryEndpointDescription.R |only ctrdata-1.21.0/ctrdata/R/f_primaryEndpointResults.R |only ctrdata-1.21.0/ctrdata/R/f_resultsDate.R |only ctrdata-1.21.0/ctrdata/R/f_sampleSize.R |only ctrdata-1.21.0/ctrdata/R/f_sponsorType.R |only ctrdata-1.21.0/ctrdata/R/f_startDate.R |only ctrdata-1.21.0/ctrdata/R/f_statusRecruitment.R |only ctrdata-1.21.0/ctrdata/R/f_trialObjectives.R |only ctrdata-1.21.0/ctrdata/R/f_trialPhase.R |only ctrdata-1.21.0/ctrdata/R/f_trialPopulation.R |only ctrdata-1.21.0/ctrdata/R/util_fields.R | 36 ctrdata-1.21.0/ctrdata/R/util_functions.R | 79 ctrdata-1.21.0/ctrdata/README.md | 834 +++---- ctrdata-1.21.0/ctrdata/build/vignette.rds |binary ctrdata-1.21.0/ctrdata/inst/WORDLIST | 74 ctrdata-1.21.0/ctrdata/inst/doc/ctrdata_install.R |only ctrdata-1.21.0/ctrdata/inst/doc/ctrdata_install.Rmd |only ctrdata-1.21.0/ctrdata/inst/doc/ctrdata_install.html |only ctrdata-1.21.0/ctrdata/inst/doc/ctrdata_retrieve.R |only ctrdata-1.21.0/ctrdata/inst/doc/ctrdata_retrieve.Rmd |only ctrdata-1.21.0/ctrdata/inst/doc/ctrdata_retrieve.html |only ctrdata-1.21.0/ctrdata/inst/doc/ctrdata_summarise.R |only ctrdata-1.21.0/ctrdata/inst/doc/ctrdata_summarise.Rmd |only ctrdata-1.21.0/ctrdata/inst/doc/ctrdata_summarise.html |only ctrdata-1.21.0/ctrdata/inst/js/euctr2ndjson.js | 5 ctrdata-1.21.0/ctrdata/inst/tinytest/ctrdata_ctgov.R | 157 - ctrdata-1.21.0/ctrdata/inst/tinytest/ctrdata_ctis.R | 11 ctrdata-1.21.0/ctrdata/inst/tinytest/ctrdata_euctr.R | 8 ctrdata-1.21.0/ctrdata/inst/tinytest/test_ctrdata_function_activesubstance.R |only ctrdata-1.21.0/ctrdata/inst/tinytest/test_ctrdata_function_ctrgeneratequeries.R |only ctrdata-1.21.0/ctrdata/inst/tinytest/test_ctrdata_function_params.R |only ctrdata-1.21.0/ctrdata/inst/tinytest/test_ctrdata_function_trial-concepts.R |only ctrdata-1.21.0/ctrdata/inst/tinytest/test_ctrdata_function_various.R |only ctrdata-1.21.0/ctrdata/inst/tinytest/test_ctrdata_sqlite_isrctn.R | 32 ctrdata-1.21.0/ctrdata/inst/tinytest/test_error_trials_euctr.txt |only ctrdata-1.21.0/ctrdata/inst/tinytest/test_euctr_error_sample.R | 2 ctrdata-1.21.0/ctrdata/man/ctrFindActiveSubstanceSynonyms.Rd | 17 ctrdata-1.21.0/ctrdata/man/ctrGenerateQueries.Rd |only ctrdata-1.21.0/ctrdata/man/ctrGetQueryUrl.Rd | 2 ctrdata-1.21.0/ctrdata/man/ctrLoadQueryIntoDb.Rd | 6 ctrdata-1.21.0/ctrdata/man/ctrOpenSearchPagesInBrowser.Rd | 6 ctrdata-1.21.0/ctrdata/man/ctrShowOneTrial.Rd | 11 ctrdata-1.21.0/ctrdata/man/ctrdata-package.Rd |only ctrdata-1.21.0/ctrdata/man/ctrdata-registers.Rd | 84 ctrdata-1.21.0/ctrdata/man/ctrdata-trial-concepts.Rd |only ctrdata-1.21.0/ctrdata/man/ctrdata.Rd | 12 ctrdata-1.21.0/ctrdata/man/dbFindFields.Rd | 8 ctrdata-1.21.0/ctrdata/man/dbFindIdsUniqueTrials.Rd | 33 ctrdata-1.21.0/ctrdata/man/dbGetFieldsIntoDf.Rd | 36 ctrdata-1.21.0/ctrdata/man/dbQueryHistory.Rd | 6 ctrdata-1.21.0/ctrdata/man/dfMergeVariablesRelevel.Rd | 34 ctrdata-1.21.0/ctrdata/man/dfName2Value.Rd | 6 ctrdata-1.21.0/ctrdata/man/dfTrials2Long.Rd | 6 ctrdata-1.21.0/ctrdata/man/f.controlType.Rd |only ctrdata-1.21.0/ctrdata/man/f.isMedIntervTrial.Rd |only ctrdata-1.21.0/ctrdata/man/f.isUniqueTrial.Rd |only ctrdata-1.21.0/ctrdata/man/f.likelyPlatformTrial.Rd |only ctrdata-1.21.0/ctrdata/man/f.numSites.Rd |only ctrdata-1.21.0/ctrdata/man/f.numTestArmsSubstances.Rd |only ctrdata-1.21.0/ctrdata/man/f.primaryEndpointDescription.Rd |only ctrdata-1.21.0/ctrdata/man/f.primaryEndpointResults.Rd |only ctrdata-1.21.0/ctrdata/man/f.resultsDate.Rd |only ctrdata-1.21.0/ctrdata/man/f.sampleSize.Rd |only ctrdata-1.21.0/ctrdata/man/f.sponsorType.Rd |only ctrdata-1.21.0/ctrdata/man/f.startDate.Rd |only ctrdata-1.21.0/ctrdata/man/f.statusRecruitment.Rd |only ctrdata-1.21.0/ctrdata/man/f.trialObjectives.Rd |only ctrdata-1.21.0/ctrdata/man/f.trialPhase.Rd |only ctrdata-1.21.0/ctrdata/man/f.trialPopulation.Rd |only ctrdata-1.21.0/ctrdata/man/figures/README-ctrdata_across_registers.png |binary ctrdata-1.21.0/ctrdata/man/figures/README-ctrdata_results_neuroblastoma.png |binary ctrdata-1.21.0/ctrdata/tests/tinytest.R | 2 ctrdata-1.21.0/ctrdata/vignettes/boxpep.png |binary ctrdata-1.21.0/ctrdata/vignettes/ctgov2nestedresults1.png |only ctrdata-1.21.0/ctrdata/vignettes/ctgov2nestedresults2.png |only ctrdata-1.21.0/ctrdata/vignettes/ctisnested2.png |only ctrdata-1.21.0/ctrdata/vignettes/ctrdata_install.Rmd | 31 ctrdata-1.21.0/ctrdata/vignettes/ctrdata_retrieve.Rmd | 385 +-- ctrdata-1.21.0/ctrdata/vignettes/ctrdata_summarise.Rmd | 1052 +++------- ctrdata-1.21.0/ctrdata/vignettes/nb1.png |binary ctrdata-1.21.0/ctrdata/vignettes/nbtrials.png |binary ctrdata-1.21.0/ctrdata/vignettes/phase23_paed_p_values.png |binary ctrdata-1.21.0/ctrdata/vignettes/phase23_paed_p_values_participants.png |binary ctrdata-1.21.0/ctrdata/vignettes/samplesizechanges.png |binary 129 files changed, 2260 insertions(+), 2057 deletions(-)
Title: Easy Graphs for Data Visualisation and Linear Models for ANOVA
Description: Easily explore data by plotting graphs with a few lines of code. Use these ggplot() wrappers to quickly draw graphs of scatter/dots with box-whiskers, violins or SD error bars, data distributions, before-after graphs, factorial ANOVA and more. Customise graphs in many ways, for example, by choosing from colour blind-friendly palettes (12 discreet, 3 continuous and 2 divergent palettes). Use the simple code for ANOVA as ordinary (lm()) or mixed-effects linear models (lmer()), including randomised-block or repeated-measures designs, and fit non-linear outcomes as a generalised additive model (gam) using mgcv(). Obtain estimated marginal means and perform post-hoc comparisons on fitted models (via emmeans()). Also includes small datasets for practising code and teaching basics before users move on to more complex designs. See vignettes for details on usage <https://grafify.shenoylab.com/>. Citation: <doi:10.5281/zenodo.5136508>.
Author: Avinash R Shenoy [cre, aut]
Maintainer: Avinash R Shenoy <a.shenoy@imperial.ac.uk>
Diff between grafify versions 4.0.1 dated 2024-02-25 and 5.0.0 dated 2025-03-09
DESCRIPTION | 16 +- MD5 | 212 +++++++++++++++---------------- NAMESPACE | 2 NEWS.md | 27 +++ R/data.R | 12 - R/ga_anova.R | 4 R/ga_model.R | 4 R/graf_colour_list.R | 2 R/mixed_anova.R | 60 +++----- R/mixed_anova_slopes.R | 53 +++---- R/mixed_model.R | 116 +++++++++++----- R/mixed_model_slopes.R | 79 ++++++++--- R/plot_3d_point_sd.R | 20 +- R/plot_3d_scatterbar.R | 20 +- R/plot_3d_scatterbox.R | 22 +-- R/plot_3d_scatterviolin.R | 23 +-- R/plot_4d_point_sd.R | 20 +- R/plot_4d_scatterbar.R | 20 +- R/plot_4d_scatterbox.R | 20 +- R/plot_4d_scatterviolin.R | 22 +-- R/plot_befafter_box.R | 22 +-- R/plot_befafter_colours.R | 22 +-- R/plot_befafter_shapes.R | 22 +-- R/plot_density.R | 147 +++++++++++++++++---- R/plot_dotbar_sd.R | 22 +-- R/plot_dotbox.R | 25 +-- R/plot_dotviolin.R | 24 +-- R/plot_grafify_palette.R | 4 R/plot_histogram.R | 140 ++++++++++++++++---- R/plot_logscales.R | 10 - R/plot_point_sd.R | 20 +- R/plot_qqline.R | 14 +- R/plot_qqmodel.R | 4 R/plot_scatterbar_sd.R | 20 +- R/plot_scatterbox.R | 30 ++-- R/plot_scatterviolin.R | 33 ++-- R/plot_xy_CatGroup.R | 14 +- R/plot_xy_NumGroup.R | 22 +-- R/posthoc_Levelwise.R | 8 - R/posthoc_Pairwise.R | 8 - R/posthoc_Trends_Levelwise.R | 4 R/posthoc_Trends_Pairwise.R | 4 R/posthoc_Trends_vsRef.R | 4 R/posthoc_vsRef.R | 6 R/scale_colour_grafify.R | 4 R/scale_fill_grafify.R | 4 R/simple_anova.R | 14 +- R/simple_model.R | 13 + R/table_summary.R | 6 R/table_x_reorder.R | 6 R/theme_grafify.R | 2 build/partial.rdb |binary man/data_1w_death.Rd | 2 man/data_2w_Festing.Rd | 2 man/data_cholesterol.Rd | 2 man/data_doubling_time.Rd | 2 man/data_t_pdiff.Rd | 2 man/data_zooplankton.Rd | 2 man/ga_anova.Rd | 2 man/ga_model.Rd | 2 man/graf_colours.Rd | 2 man/mixed_anova.Rd | 23 +-- man/mixed_anova_slopes.Rd | 15 +- man/mixed_model.Rd | 32 +++- man/mixed_model_slopes.Rd | 15 +- man/plot_3d_point_sd.Rd | 20 +- man/plot_3d_scatterbar.Rd | 20 +- man/plot_3d_scatterbox.Rd | 22 +-- man/plot_3d_scatterviolin.Rd | 22 +-- man/plot_4d_point_sd.Rd | 20 +- man/plot_4d_scatterbar.Rd | 20 +- man/plot_4d_scatterbox.Rd | 20 +- man/plot_4d_scatterviolin.Rd | 20 +- man/plot_befafter_box.Rd | 22 +-- man/plot_befafter_colours.Rd | 22 +-- man/plot_befafter_shapes.Rd | 22 +-- man/plot_density.Rd | 41 ++++- man/plot_dotbar_sd.Rd | 22 +-- man/plot_dotbox.Rd | 24 +-- man/plot_dotviolin.Rd | 24 +-- man/plot_grafify_palette.Rd | 4 man/plot_histogram.Rd | 37 ++++- man/plot_logscale.Rd | 10 - man/plot_point_sd.Rd | 20 +- man/plot_qqline.Rd | 14 +- man/plot_qqmodel.Rd | 4 man/plot_scatterbar_sd.Rd | 20 +- man/plot_scatterbox.Rd | 25 ++- man/plot_scatterviolin.Rd | 27 ++- man/plot_xy_CatGroup.Rd | 14 +- man/plot_xy_NumGroup.Rd | 22 +-- man/posthoc_Levelwise.Rd | 8 - man/posthoc_Pairwise.Rd | 8 - man/posthoc_Trends_Levelwise.Rd | 4 man/posthoc_Trends_Pairwise.Rd | 4 man/posthoc_Trends_vsRef.Rd | 4 man/posthoc_vsRef.Rd | 6 man/scale_colour_grafify.Rd | 2 man/scale_fill_grafify.Rd | 2 man/simple_anova.Rd | 12 - man/simple_model.Rd | 12 - man/table_summary.Rd | 6 man/table_x_reorder.Rd | 6 man/theme_grafify.Rd | 2 tests/testthat/test-mixed_anova.R | 2 tests/testthat/test-mixed_anova_slopes.R | 8 - tests/testthat/test-mixed_model.R | 41 +++++ 107 files changed, 1293 insertions(+), 907 deletions(-)
Title: User-Friendly Tables with Color Helpers for Data Exploration
Description: Make it easy to deal with multiple cross-tables in data exploration, by
creating them, manipulating them, and adding color helpers to highlight
important informations (differences from totals, comparisons between lines or
columns, contributions to variance, confidence intervals, odds ratios, etc.).
All functions are pipe-friendly and render data frames which can be easily
manipulated. In the same time, time-taking operations are done with 'data.table'
to go faster with big dataframes. Tables can be exported with formats and colors
to 'Excel', plot and html.
Author: Brice Nocenti [aut, cre]
Maintainer: Brice Nocenti <brice.nocenti@gmail.com>
Diff between tabxplor versions 1.2.1 dated 2024-10-04 and 1.3.0 dated 2025-03-09
tabxplor-1.2.1/tabxplor/man/tab_xl_confidential.Rd |only tabxplor-1.3.0/tabxplor/DESCRIPTION | 9 tabxplor-1.3.0/tabxplor/MD5 | 40 tabxplor-1.3.0/tabxplor/NAMESPACE | 4 tabxplor-1.3.0/tabxplor/NEWS.md | 19 tabxplor-1.3.0/tabxplor/R/fmt_class.R | 45 tabxplor-1.3.0/tabxplor/R/tab.R | 65 tabxplor-1.3.0/tabxplor/R/tab_classes.R | 498 ++ tabxplor-1.3.0/tabxplor/R/tab_xl.R | 3657 ++++++++++---------- tabxplor-1.3.0/tabxplor/R/utils.R | 244 - tabxplor-1.3.0/tabxplor/inst/doc/tabxplor.R | 7 tabxplor-1.3.0/tabxplor/inst/doc/tabxplor.Rmd | 749 ++-- tabxplor-1.3.0/tabxplor/inst/doc/tabxplor.html | 555 +-- tabxplor-1.3.0/tabxplor/man/arrange.tabxplor_tab.Rd |only tabxplor-1.3.0/tabxplor/man/fct_recode_helper.Rd | 19 tabxplor-1.3.0/tabxplor/man/tab.Rd | 2 tabxplor-1.3.0/tabxplor/man/tab_compact.Rd |only tabxplor-1.3.0/tabxplor/man/tab_kable.Rd | 3 tabxplor-1.3.0/tabxplor/man/tab_many.Rd | 9 tabxplor-1.3.0/tabxplor/man/tab_pvalue_lines.Rd |only tabxplor-1.3.0/tabxplor/man/tab_xl.Rd | 23 tabxplor-1.3.0/tabxplor/tests/testthat.R | 16 tabxplor-1.3.0/tabxplor/vignettes/tabxplor.Rmd | 749 ++-- 23 files changed, 3812 insertions(+), 2901 deletions(-)
Title: Reconstruction of Daily Data - Precipitation
Description: Applies quality control to daily precipitation observations;
reconstructs the original series by estimating precipitation in missing values; and
creates gridded datasets of daily precipitation.
Author: Roberto Serrano-Notivoli [aut, cre]
,
Abel Centella-Artola [ctb]
Maintainer: Roberto Serrano-Notivoli <roberto.serrano@unizar.es>
Diff between reddPrec versions 2.0.3 dated 2024-05-01 and 2.0.4 dated 2025-03-09
DESCRIPTION | 6 +++--- MD5 | 4 ++-- R/qcPrec.R | 2 +- 3 files changed, 6 insertions(+), 6 deletions(-)
Title: Gaussian Process Fitting
Description: Fits a Gaussian process model to data. Gaussian processes
are commonly used in computer experiments to fit an interpolating model.
The model is stored as an 'R6' object and can be easily updated with new
data. There are options to run in parallel, and 'Rcpp'
has been used to speed up calculations.
For more info about Gaussian process software, see Erickson et al. (2018)
<doi:10.1016/j.ejor.2017.10.002>.
Author: Collin Erickson [aut, cre]
Maintainer: Collin Erickson <collinberickson@gmail.com>
Diff between GauPro versions 0.2.13 dated 2024-09-26 and 0.2.14 dated 2025-03-09
DESCRIPTION | 8 MD5 | 84 +- NEWS.md | 12 R/GauPro_Gauss.R | 2 R/convert_X_with_formula.R | 2 R/kernel_Cubic.R | 40 - R/kernel_Exponential.R | 39 - R/kernel_Factor.R | 2 R/kernel_Gaussian.R | 762 +++++++++++---------- R/kernel_GowerFactor.R | 2 R/kernel_Matern32.R | 40 - R/kernel_Matern52.R | 53 + R/kernel_Triangle.R | 43 - R/kernel_beta.R | 26 R/kernel_model.R | 71 + README.md | 184 ++++- build/vignette.rds |binary inst/doc/CrossValidationErrorCorrection.html | 22 inst/doc/GauPro.R | 100 +- inst/doc/GauPro.Rmd | 293 ++++++-- inst/doc/GauPro.html | 485 +++++++++++-- inst/doc/IntroductionToGPs.Rmd | 2 inst/doc/IntroductionToGPs.html | 6 inst/doc/derivatives.html | 4 inst/doc/surface_derivatives.Rmd | 4 inst/doc/surface_derivatives.html | 8 man/Cubic.Rd | 7 man/Exponential.Rd | 7 man/GauPro_kernel_beta.Rd | 11 man/Gaussian.Rd | 7 man/Matern32.Rd | 7 man/Matern52.Rd | 7 man/Triangle.Rd | 7 src/corr_cubic_matrix.cpp | 4 tests/testthat/Rplots.pdf |binary tests/testthat/test_kernel_model_and_kernels.R | 62 + tests/testthat/test_predictions.R |only tools/README-oldvignettedata-1.png |only tools/README-oldvignettedata_cool1Dplot-1.png |only tools/README-oldvignettedata_exponentialplot-1.png |only tools/README-oldvignettedata_maternplot-1.png |only tools/README-oldvignettedata_plot-1.png |only tools/README-oldvignettedata_plot1D-1.png |only tools/README-oldvignettedata_trendplot-1.png |only vignettes/GauPro.Rmd | 293 ++++++-- vignettes/IntroductionToGPs.Rmd | 2 vignettes/surface_derivatives.Rmd | 4 47 files changed, 1972 insertions(+), 740 deletions(-)
Title: 'Rcpp' Package Illustrating Header-Only Access to 'NLopt'
Description: An example package which shows use of 'NLopt' functionality from
C++ via 'Rcpp' without requiring linking, and relying just on 'nloptr' thanks
to the exporting API added there by Jelmer Ypma. This package is a fully
functioning, updated, and expanded version of the initial example by
Julien Chiquet at <https://github.com/jchiquet/RcppArmadilloNLoptExample>
also containing a large earlier pull request of mine.
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between RcppNLoptExample versions 0.0.1 dated 2018-10-12 and 0.0.2 dated 2025-03-09
ChangeLog | 44 ++++++++++++++++++++++++++++++++++++++++++++ DESCRIPTION | 17 +++++++++++------ MD5 | 10 +++++----- README.md | 29 ++++++++++++++++++++++++++--- inst/NEWS.Rd | 9 +++++++++ tests/simpleTest.R | 3 ++- 6 files changed, 97 insertions(+), 15 deletions(-)
More information about RcppNLoptExample at CRAN
Permanent link
Title: Various Methods for the Two Sample Problem
Description: The routine twosample_test() in this package runs the
two sample test using various test statistic. The p values are
found via permutation or large sample theory. The routine twosample_power() allows the
calculation of the power in various cases, and plot_power() draws the corresponding power graphs.
The routine run.studies allows a user to quickly study the power of a new method and
how it compares to some of the standard ones.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>
Diff between R2sample versions 3.0.0 dated 2025-02-01 and 3.1.0 dated 2025-03-09
DESCRIPTION | 11 +- MD5 | 60 ++++++----- NAMESPACE | 3 NEWS.md | 2 R/R2sample-package.R | 64 ++++++------ R/RcppExports.R | 34 +++--- R/case.studies.R | 2 R/data.R | 2 R/power_cont_R.R |only R/power_disc_R.R |only R/power_newtest.R | 2 R/run.studies.R | 11 +- R/timecheck.R |only R/twosample_power.R | 76 +++++++-------- R/twosample_test.R | 13 +- R/twosample_test_adjusted_pvalue.R | 5 build/vignette.rds |binary inst/doc/R2sample.R | 2 inst/doc/R2sample.Rmd | 8 - inst/doc/R2sample.html | 41 +++----- man/power_cont.Rd | 29 +---- man/power_cont_R.Rd |only man/power_disc.Rd | 29 ++--- man/power_disc_R.Rd |only man/run.studies.Rd | 6 - man/timecheck.Rd |only man/twosample_power.Rd | 8 - man/twosample_test.Rd | 3 man/twosample_test_adjusted_pvalue.Rd | 3 src/RcppExports.cpp | 30 ++--- src/TS_disc.cpp | 7 - src/power_cont.cpp | 117 ++++++++++------------- src/power_disc.cpp | 171 ++++++++++++++-------------------- vignettes/R2sample.Rmd | 8 - 34 files changed, 353 insertions(+), 394 deletions(-)
Title: Effect Plots
Description: High-performance implementation of various effect plots
useful for regression and probabilistic classification tasks. The
package includes partial dependence plots (Friedman, 2021,
<doi:10.1214/aos/1013203451>), accumulated local effect plots and
M-plots (both from Apley and Zhu, 2016, <doi:10.1111/rssb.12377>), as
well as plots that describe the statistical associations between model
response and features. It supports visualizations with either
'ggplot2' or 'plotly', and is compatible with most models, including
'Tidymodels', models wrapped in 'DALEX' explainers, or models with
case weights.
Author: Michael Mayer [aut, cre]
Maintainer: Michael Mayer <mayermichael79@gmail.com>
Diff between effectplots versions 0.2.1 dated 2025-01-11 and 0.2.2 dated 2025-03-09
DESCRIPTION | 6 MD5 | 28 ++-- NEWS.md | 18 ++ R/crunch.R | 140 ++++++++++++++++++++-- R/feature_effects.R | 110 +++++++++--------- R/plot.R | 38 +++--- R/update.R | 12 + R/utils.R | 33 ----- README.md | 3 man/feature_effects.Rd | 4 man/update.EffectData.Rd | 14 +- tests/testthat/test-crunch.R | 262 ++++++++++++++++++++----------------------- tests/testthat/test-input.R | 33 +++++ tests/testthat/test-update.R | 23 +-- tests/testthat/test-utils.R | 18 -- 15 files changed, 423 insertions(+), 319 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-05-26 0.3.3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-12-12 1.4.1
2023-10-19 1.4
Title: Embed 'SWI'-'Prolog'
Description: Interface to 'SWI'-'Prolog', <https://www.swi-prolog.org/>. This package is normally not loaded directly, please refer to package 'rolog' instead. The purpose of this package is to provide the 'Prolog' runtime on systems that do not have a software installation of 'SWI'-'Prolog'.
Author: Matthias Gondan [aut, com, cre] ,
Jan Wielemaker [ctb, cph] ,
European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>
Diff between rswipl versions 9.3.18 dated 2025-01-07 and 9.3.20 dated 2025-03-09
rswipl-9.3.18/rswipl/src/swipl-devel/src/Tests |only rswipl-9.3.18/rswipl/src/swipl-devel/src/test.pl |only rswipl-9.3.18/rswipl/src/swipl-devel/src/wasm/pre.js |only rswipl-9.3.20/rswipl/DESCRIPTION | 8 rswipl-9.3.20/rswipl/MD5 | 2283 +++++----- rswipl-9.3.20/rswipl/NEWS.md | 6 rswipl-9.3.20/rswipl/src/install.libs.R | 2 rswipl-9.3.20/rswipl/src/rswipl.cpp | 7 rswipl-9.3.20/rswipl/src/swipl-devel/CMAKE.md | 40 rswipl-9.3.20/rswipl/src/swipl-devel/CMakeLists.txt | 44 rswipl-9.3.20/rswipl/src/swipl-devel/VERSION | 2 rswipl-9.3.20/rswipl/src/swipl-devel/bench/README.md | 22 rswipl-9.3.20/rswipl/src/swipl-devel/bench/compare.pl | 40 rswipl-9.3.20/rswipl/src/swipl-devel/bench/programs/eval.pl | 2 rswipl-9.3.20/rswipl/src/swipl-devel/bench/programs/log10.pl | 2 rswipl-9.3.20/rswipl/src/swipl-devel/bench/programs/mu.pl | 2 rswipl-9.3.20/rswipl/src/swipl-devel/bench/programs/nand.pl | 2 rswipl-9.3.20/rswipl/src/swipl-devel/boot/init.pl | 26 rswipl-9.3.20/rswipl/src/swipl-devel/boot/syspred.pl | 8 rswipl-9.3.20/rswipl/src/swipl-devel/cmake/EmscriptenTargets.cmake | 41 rswipl-9.3.20/rswipl/src/swipl-devel/library/apply.pl | 2 rswipl-9.3.20/rswipl/src/swipl-devel/library/check.pl | 14 rswipl-9.3.20/rswipl/src/swipl-devel/library/debug.pl | 6 rswipl-9.3.20/rswipl/src/swipl-devel/library/dicts.pl | 3 rswipl-9.3.20/rswipl/src/swipl-devel/library/dif.pl | 2 rswipl-9.3.20/rswipl/src/swipl-devel/library/explain.pl | 106 rswipl-9.3.20/rswipl/src/swipl-devel/library/prolog_colour.pl | 4 rswipl-9.3.20/rswipl/src/swipl-devel/library/prolog_debug.pl | 34 rswipl-9.3.20/rswipl/src/swipl-devel/library/prolog_jiti.pl | 274 - 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rswipl-9.3.20/rswipl/src/swipl-devel/src/pl-proc.h | 38 rswipl-9.3.20/rswipl/src/swipl-devel/src/pl-segstack.c | 4 rswipl-9.3.20/rswipl/src/swipl-devel/src/pl-setup.c | 16 rswipl-9.3.20/rswipl/src/swipl-devel/src/pl-setup.h | 15 rswipl-9.3.20/rswipl/src/swipl-devel/src/pl-srcfile.c | 85 rswipl-9.3.20/rswipl/src/swipl-devel/src/pl-srcfile.h | 26 rswipl-9.3.20/rswipl/src/swipl-devel/src/pl-supervisor.c | 63 rswipl-9.3.20/rswipl/src/swipl-devel/src/pl-supervisor.h | 6 rswipl-9.3.20/rswipl/src/swipl-devel/src/pl-tabling.c | 47 rswipl-9.3.20/rswipl/src/swipl-devel/src/pl-thread.c | 195 rswipl-9.3.20/rswipl/src/swipl-devel/src/pl-thread.h | 28 rswipl-9.3.20/rswipl/src/swipl-devel/src/pl-trace.c | 14 rswipl-9.3.20/rswipl/src/swipl-devel/src/pl-vmi.c | 141 rswipl-9.3.20/rswipl/src/swipl-devel/src/pl-wam.c | 77 rswipl-9.3.20/rswipl/src/swipl-devel/src/pl-wam.h | 3 rswipl-9.3.20/rswipl/src/swipl-devel/src/swipl-ld.c | 12 rswipl-9.3.20/rswipl/src/swipl-devel/src/test/gdbinit | 4 rswipl-9.3.20/rswipl/src/swipl-devel/src/wasm/bench.html |only rswipl-9.3.20/rswipl/src/swipl-devel/src/wasm/engines.html |only rswipl-9.3.20/rswipl/src/swipl-devel/src/wasm/exports.json | 9 rswipl-9.3.20/rswipl/src/swipl-devel/src/wasm/index.html | 4 rswipl-9.3.20/rswipl/src/swipl-devel/src/wasm/pl-wasm.c | 44 rswipl-9.3.20/rswipl/src/swipl-devel/src/wasm/prolog.js | 621 ++ rswipl-9.3.20/rswipl/src/swipl-devel/src/wasm/server.pl | 33 rswipl-9.3.20/rswipl/src/swipl-devel/src/wasm/test.html | 392 - rswipl-9.3.20/rswipl/src/swipl-devel/src/wasm/test.pl | 6 rswipl-9.3.20/rswipl/src/swipl-devel/src/win32/console/console.c | 66 rswipl-9.3.20/rswipl/src/swipl-devel/src/win32/console/console.h | 6 rswipl-9.3.20/rswipl/src/swipl-devel/src/win32/console/edit.c | 50 rswipl-9.3.20/rswipl/src/swipl-devel/tests |only 103 files changed, 5186 insertions(+), 3221 deletions(-)
Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling
into 'Python', R data types are automatically converted to their equivalent 'Python'
types. When values are returned from 'Python' to R they are converted back to R
types. Compatible with all versions of 'Python' >= 2.7.
Author: Tomasz Kalinowski [ctb, cre],
Kevin Ushey [aut],
JJ Allaire [aut],
RStudio [cph, fnd],
Yuan Tang [aut, cph] ,
Dirk Eddelbuettel [ctb, cph],
Bryan Lewis [ctb, cph],
Sigrid Keydana [ctb],
Ryan Hafen [ctb, cph],
Marcus Geelnard [ctb, cph]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>
Diff between reticulate versions 1.41.0 dated 2025-02-24 and 1.41.0.1 dated 2025-03-09
DESCRIPTION | 6 +++--- MD5 | 4 ++-- src/tinythread.h | 3 ++- 3 files changed, 7 insertions(+), 6 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-02-17 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-01-21 0.8.1
2022-12-13 0.6.7
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-06-03 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-07-17 2.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-11-13 0.1.5
2023-05-05 0.1.4
2023-03-16 0.1.3
2023-02-12 0.1.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-09-14 0.59-2
2018-06-15 0.59
2017-09-03 0.57-5
2016-11-03 0.57-2
2013-12-05 0.56
2012-03-25 0.55
2011-03-31 0.54
2009-01-13 0.52
2006-04-27 0.51
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-11-15 2.1.1
2019-03-18 2.1.0
2018-08-30 2.0.0
2018-08-14 1.2.1
2018-05-27 1.1.1
2018-04-23 1.1.0
2018-03-01 1.0
Title: Test Theory Analysis and Biclustering
Description: Implements comprehensive test data engineering methods as described in
Shojima (2022, ISBN:978-9811699856). Provides statistical techniques for
engineering and processing test data: Classical Test Theory (CTT) with
reliability coefficients for continuous ability assessment; Item Response
Theory (IRT) including Rasch, 2PL, and 3PL models with item/test information
functions; Latent Class Analysis (LCA) for nominal clustering; Latent Rank
Analysis (LRA) for ordinal clustering with automatic determination of cluster
numbers; Biclustering methods including infinite relational models for
simultaneous clustering of examinees and items without predefined cluster
numbers; and Bayesian Network Models (BNM) for visualizing inter-item
dependencies. Features local dependence analysis through LRA and biclustering,
parameter estimation, dimensionality assessment, and network structure
visualization for educational, psychological, and social science research.
Author: Koji Kosugi [aut, cre]
Maintainer: Koji Kosugi <kosugitti@gmail.com>
Diff between exametrika versions 1.2.0 dated 2025-01-31 and 1.5.1 dated 2025-03-09
exametrika-1.2.0/exametrika/R/00_QitemFunctions.R |only exametrika-1.2.0/exametrika/man/Biserial_Correlation.Rd |only exametrika-1.2.0/exametrika/man/FieldAnalysis.Rd |only exametrika-1.2.0/exametrika/man/figures/sticker.png |only exametrika-1.5.1/exametrika/DESCRIPTION | 6 exametrika-1.5.1/exametrika/MD5 | 176 +- exametrika-1.5.1/exametrika/NAMESPACE | 42 exametrika-1.5.1/exametrika/NEWS.md | 38 exametrika-1.5.1/exametrika/R/00_dataset_explain.R | 24 exametrika-1.5.1/exametrika/R/00_exametrikaPlot.R | 616 +++++-- exametrika-1.5.1/exametrika/R/00_exametrikaPrint.R | 218 +- exametrika-1.5.1/exametrika/R/02B_TestStatistics.R | 115 - exametrika-1.5.1/exametrika/R/02C_ItemStatistics.R | 86 exametrika-1.5.1/exametrika/R/02D_StudentAnalysis.R | 10 exametrika-1.5.1/exametrika/R/02_InterItemAnalysis.R |only exametrika-1.5.1/exametrika/R/02_QitemFunctions.R |only exametrika-1.5.1/exametrika/R/02_TestItemFunctions.R | 876 +++++++--- exametrika-1.5.1/exametrika/R/03_CTT.R | 16 exametrika-1.5.1/exametrika/R/04A_IRTbaseFunctions.R | 39 exametrika-1.5.1/exametrika/R/04C_ParameterEstimation.R | 23 exametrika-1.5.1/exametrika/R/05_LCA.R | 108 - exametrika-1.5.1/exametrika/R/06_LRA.R | 174 + exametrika-1.5.1/exametrika/R/07B_InfiniteRelationalModel.R | 2 exametrika-1.5.1/exametrika/R/07_Biclustering.R | 199 +- exametrika-1.5.1/exametrika/R/08A_BNM.R | 8 exametrika-1.5.1/exametrika/R/08C_BNM_GA.R | 4 exametrika-1.5.1/exametrika/R/09B_LDLRA_GA.R | 5 exametrika-1.5.1/exametrika/R/09_LDLRA.R | 9 exametrika-1.5.1/exametrika/R/10_LDB.R | 9 exametrika-1.5.1/exametrika/R/11_BINET.R | 11 exametrika-1.5.1/exametrika/R/12_OrdinalLatentRank.R |only exametrika-1.5.1/exametrika/R/13_RatedLatentRank.R |only exametrika-1.5.1/exametrika/R/14_GRM.R |only exametrika-1.5.1/exametrika/README.md | 145 + exametrika-1.5.1/exametrika/data/J12S5000.rda |binary exametrika-1.5.1/exametrika/data/J15S3810.rda |binary exametrika-1.5.1/exametrika/data/J15S500.rda |binary exametrika-1.5.1/exametrika/data/J20S400.rda |binary exametrika-1.5.1/exametrika/data/J35S5000.rda |binary exametrika-1.5.1/exametrika/data/J35S515.rda |binary exametrika-1.5.1/exametrika/data/J50S100.rda |only exametrika-1.5.1/exametrika/data/J5S10.rda |binary exametrika-1.5.1/exametrika/data/J5S1000.rda |only exametrika-1.5.1/exametrika/man/BINET.Rd | 2 exametrika-1.5.1/exametrika/man/Biclustering.Rd | 128 - exametrika-1.5.1/exametrika/man/BiserialCorrelation.Rd |only exametrika-1.5.1/exametrika/man/CCRR.Rd | 19 exametrika-1.5.1/exametrika/man/CSR.Rd |only exametrika-1.5.1/exametrika/man/Dimensionality.Rd | 22 exametrika-1.5.1/exametrika/man/GRM.Rd |only exametrika-1.5.1/exametrika/man/IRT.Rd | 12 exametrika-1.5.1/exametrika/man/ITBiserial.Rd | 18 exametrika-1.5.1/exametrika/man/InterItemAnalysis.Rd | 112 + exametrika-1.5.1/exametrika/man/ItemEntropy.Rd | 19 exametrika-1.5.1/exametrika/man/ItemLift.Rd | 16 exametrika-1.5.1/exametrika/man/ItemOdds.Rd | 16 exametrika-1.5.1/exametrika/man/ItemReport.Rd | 48 exametrika-1.5.1/exametrika/man/ItemStatistics.Rd | 47 exametrika-1.5.1/exametrika/man/ItemThreshold.Rd | 16 exametrika-1.5.1/exametrika/man/ItemTotalCorr.Rd | 19 exametrika-1.5.1/exametrika/man/J12S5000.Rd | 2 exametrika-1.5.1/exametrika/man/J15S3810.Rd | 2 exametrika-1.5.1/exametrika/man/J15S500.Rd | 2 exametrika-1.5.1/exametrika/man/J20S400.Rd | 2 exametrika-1.5.1/exametrika/man/J35S515.Rd | 2 exametrika-1.5.1/exametrika/man/J50S100.Rd |only exametrika-1.5.1/exametrika/man/J5S10.Rd | 2 exametrika-1.5.1/exametrika/man/J5S1000.Rd |only exametrika-1.5.1/exametrika/man/JCRR.Rd | 21 exametrika-1.5.1/exametrika/man/JSR.Rd |only exametrika-1.5.1/exametrika/man/Jacobian_grm.Rd |only exametrika-1.5.1/exametrika/man/JointSampleSize.Rd | 16 exametrika-1.5.1/exametrika/man/LCA.Rd | 98 - exametrika-1.5.1/exametrika/man/LRA.Rd | 239 ++ exametrika-1.5.1/exametrika/man/MutualInformation.Rd | 47 exametrika-1.5.1/exametrika/man/PhiCoefficient.Rd | 16 exametrika-1.5.1/exametrika/man/PolychoricCorrelationMatrix.Rd |only exametrika-1.5.1/exametrika/man/ScoreReport.Rd | 59 exametrika-1.5.1/exametrika/man/StrLearningPBIL_LDLRA.Rd | 1 exametrika-1.5.1/exametrika/man/TestResponseFunc.Rd |only exametrika-1.5.1/exametrika/man/TestStatistics.Rd | 104 - exametrika-1.5.1/exametrika/man/TetrachoricCorrelationMatrix.Rd | 16 exametrika-1.5.1/exametrika/man/crr.Rd | 16 exametrika-1.5.1/exametrika/man/figures/exametrika.png |only exametrika-1.5.1/exametrika/man/figures/exametrika_org.png |only exametrika-1.5.1/exametrika/man/generate_category_labels.Rd | 2 exametrika-1.5.1/exametrika/man/generate_start_values.Rd |only exametrika-1.5.1/exametrika/man/grm_cumprob.Rd |only exametrika-1.5.1/exametrika/man/grm_iif.Rd |only exametrika-1.5.1/exametrika/man/grm_prob.Rd |only exametrika-1.5.1/exametrika/man/log_lik_grm.Rd |only exametrika-1.5.1/exametrika/man/nrs.Rd | 16 exametrika-1.5.1/exametrika/man/params_to_target_jac.Rd |only exametrika-1.5.1/exametrika/man/passage.Rd | 16 exametrika-1.5.1/exametrika/man/percentile.Rd | 16 exametrika-1.5.1/exametrika/man/plot.exametrika.Rd | 155 - exametrika-1.5.1/exametrika/man/polychoric.Rd |only exametrika-1.5.1/exametrika/man/polychoric_likelihood.Rd |only exametrika-1.5.1/exametrika/man/polyserial.Rd |only exametrika-1.5.1/exametrika/man/print.exametrika.Rd | 56 exametrika-1.5.1/exametrika/man/qBiNormal.Rd |only exametrika-1.5.1/exametrika/man/score_function_with_Jacobian.Rd |only exametrika-1.5.1/exametrika/man/softmax.Rd | 2 exametrika-1.5.1/exametrika/man/sscore.Rd | 16 exametrika-1.5.1/exametrika/man/stanine.Rd | 17 exametrika-1.5.1/exametrika/man/target_to_params_jac.Rd |only 106 files changed, 3156 insertions(+), 1238 deletions(-)