Title: Waffle Style Chart with a Brick Layout in 'ggplot2'
Description: A new take on the bar chart. Similar to a waffle style chart but
instead of squares the layout resembles a brick wall.
Author: Daniel Oehm [aut, cre]
Maintainer: Daniel Oehm <danieloehm@gmail.com>
Diff between ggbrick versions 0.3.0 dated 2024-03-14 and 0.3.1 dated 2025-09-14
DESCRIPTION | 8 - MD5 | 12 +- R/geom-brick.R | 8 - R/geom-waffle.R | 8 - README.md | 158 +++++++++++++++++++----------- man/brick.Rd | 288 ++++++++++++++++++++++++++++---------------------------- man/waffle.Rd | 8 - 7 files changed, 268 insertions(+), 222 deletions(-)
Title: Convenience Functions for Psychology
Description: Make your workflow faster and easier. Easily customizable
plots (via 'ggplot2'), nice APA tables (following the style of the
*American Psychological Association*) exportable to Word (via
'flextable'), easily run statistical tests or check assumptions, and
automatize various other tasks.
Author: Remi Theriault [aut, cre]
Maintainer: Remi Theriault <remi.theriault@mail.mcgill.ca>
Diff between rempsyc versions 0.1.9 dated 2025-02-01 and 0.2.0 dated 2025-09-14
rempsyc-0.1.9/rempsyc/tests/testthat/_snaps/nice_table.md |only rempsyc-0.2.0/rempsyc/DESCRIPTION | 15 rempsyc-0.2.0/rempsyc/MD5 | 121 +- rempsyc-0.2.0/rempsyc/NAMESPACE | 1 rempsyc-0.2.0/rempsyc/NEWS.md | 29 rempsyc-0.2.0/rempsyc/R/global_variables.R | 3 rempsyc-0.2.0/rempsyc/R/nice_lm.R | 31 rempsyc-0.2.0/rempsyc/R/nice_lm_slopes.R | 11 rempsyc-0.2.0/rempsyc/R/nice_normality.R | 2 rempsyc-0.2.0/rempsyc/R/nice_scatter.R | 349 ++++- rempsyc-0.2.0/rempsyc/R/nice_table.R | 593 +++++++--- rempsyc-0.2.0/rempsyc/R/nice_violin.R | 202 ++- rempsyc-0.2.0/rempsyc/R/plot_means_over_time.R | 112 + rempsyc-0.2.0/rempsyc/README.md | 4 rempsyc-0.2.0/rempsyc/build/partial.rdb |binary rempsyc-0.2.0/rempsyc/build/vignette.rds |binary rempsyc-0.2.0/rempsyc/inst/WORDLIST | 11 rempsyc-0.2.0/rempsyc/inst/doc/assumptions.R | 16 rempsyc-0.2.0/rempsyc/inst/doc/assumptions.html | 42 rempsyc-0.2.0/rempsyc/inst/doc/contrasts.R | 38 rempsyc-0.2.0/rempsyc/inst/doc/contrasts.html | 34 rempsyc-0.2.0/rempsyc/inst/doc/moderation.R | 10 rempsyc-0.2.0/rempsyc/inst/doc/moderation.Rmd | 2 rempsyc-0.2.0/rempsyc/inst/doc/moderation.html | 42 rempsyc-0.2.0/rempsyc/inst/doc/scatter.R | 18 rempsyc-0.2.0/rempsyc/inst/doc/scatter.html | 47 rempsyc-0.2.0/rempsyc/inst/doc/t-test.R | 24 rempsyc-0.2.0/rempsyc/inst/doc/t-test.html | 34 rempsyc-0.2.0/rempsyc/inst/doc/table.R | 4 rempsyc-0.2.0/rempsyc/inst/doc/table.html | 66 - rempsyc-0.2.0/rempsyc/inst/doc/violin.R | 16 rempsyc-0.2.0/rempsyc/inst/doc/violin.html | 37 rempsyc-0.2.0/rempsyc/man/cormatrix_excel.Rd | 2 rempsyc-0.2.0/rempsyc/man/grouped_bar_chart.Rd | 2 rempsyc-0.2.0/rempsyc/man/nice_assumptions.Rd | 2 rempsyc-0.2.0/rempsyc/man/nice_contrasts.Rd | 2 rempsyc-0.2.0/rempsyc/man/nice_density.Rd | 2 rempsyc-0.2.0/rempsyc/man/nice_lm.Rd | 4 rempsyc-0.2.0/rempsyc/man/nice_lm_contrasts.Rd | 2 rempsyc-0.2.0/rempsyc/man/nice_lm_slopes.Rd | 4 rempsyc-0.2.0/rempsyc/man/nice_mod.Rd | 4 rempsyc-0.2.0/rempsyc/man/nice_normality.Rd | 2 rempsyc-0.2.0/rempsyc/man/nice_qq.Rd | 2 rempsyc-0.2.0/rempsyc/man/nice_scatter.Rd | 52 rempsyc-0.2.0/rempsyc/man/nice_slopes.Rd | 4 rempsyc-0.2.0/rempsyc/man/nice_t_test.Rd | 2 rempsyc-0.2.0/rempsyc/man/nice_table.Rd | 2 rempsyc-0.2.0/rempsyc/man/nice_varplot.Rd | 2 rempsyc-0.2.0/rempsyc/man/nice_violin.Rd | 2 rempsyc-0.2.0/rempsyc/man/overlap_circle.Rd | 2 rempsyc-0.2.0/rempsyc/man/plot_means_over_time.Rd | 2 rempsyc-0.2.0/rempsyc/man/plot_outliers.Rd | 2 rempsyc-0.2.0/rempsyc/man/rcompanion_groupwiseMean.Rd | 2 rempsyc-0.2.0/rempsyc/tests/testthat/_snaps/cormatrix_excel.md | 16 rempsyc-0.2.0/rempsyc/tests/testthat/test-grouped_bar_chart.R |only rempsyc-0.2.0/rempsyc/tests/testthat/test-nice_lm.R | 23 rempsyc-0.2.0/rempsyc/tests/testthat/test-nice_lm_slopes.R | 37 rempsyc-0.2.0/rempsyc/tests/testthat/test-nice_normality.R | 2 rempsyc-0.2.0/rempsyc/tests/testthat/test-nice_qq.R | 1 rempsyc-0.2.0/rempsyc/tests/testthat/test-nice_scatter.R | 45 rempsyc-0.2.0/rempsyc/tests/testthat/test-nice_table.R | 59 rempsyc-0.2.0/rempsyc/tests/testthat/test-plot_means_over_time.R |only rempsyc-0.2.0/rempsyc/vignettes/moderation.Rmd | 2 63 files changed, 1516 insertions(+), 683 deletions(-)
Title: Discontinuous Hamiltonian Monte Carlo with Varying Trajectory
Length
Description: Hamiltonian Monte Carlo for both continuous and discontinuous posterior
distributions with a customizable trajectory length termination criterion.
See Nishimura et al. (2020) <doi:10.1093/biomet/asz083> for the original
Discontinuous Hamiltonian Monte Carlo; Hoffman et al. (2014)
<doi:10.48550/arXiv.1111.4246> and Betancourt (2016) <doi:10.48550/arXiv.1601.00225>
for the definition of possible Hamiltonian Monte Carlo termination criteria.
Author: Paolo Manildo [aut, cre]
Maintainer: Paolo Manildo <paolo.manildo@phd.unipd.it>
Diff between XDNUTS versions 1.6.4 dated 2025-09-12 and 1.6.5 dated 2025-09-14
DESCRIPTION | 12 ++++++------ MD5 | 4 ++-- build/partial.rdb |binary 3 files changed, 8 insertions(+), 8 deletions(-)
Title: Processing METAR Weather Reports
Description: Allows to download current and historical METAR weather reports
extract and parse basic parameters and present main weather information.
Current reports are downloaded from Aviation Weather Center
<https://aviationweather.gov/data/metar/> and historical reports from
Iowa Environmental Mesonet web page of Iowa State University
ASOS-AWOS-METAR <http://mesonet.agron.iastate.edu/AWOS/>.
Author: Pawel Cwiek [aut, cre],
David Megginson [ctb] ,
Greg Thompson [ctb]
Maintainer: Pawel Cwiek <prc.altodato@gmail.com>
Diff between pmetar versions 0.5.1 dated 2025-03-02 and 0.6.0 dated 2025-09-14
DESCRIPTION | 10 +- MD5 | 28 ++--- R/metar_get.R | 35 +++---- R/metar_get_historical.R | 20 +--- R/metar_iata_icao.R | 5 - R/metar_location.R | 45 +++++++-- R/metar_rwy_visibility.R | 141 ++++++++++++++++++++++++++--- R/metar_visibility.R | 18 +++ README.md | 6 - build/vignette.rds |binary data/ourairports.rda |binary inst/doc/pmetar.html | 33 +++--- man/metar_visibility.Rd | 2 tests/testthat/test_metar_location.R | 12 +- tests/testthat/test_metar_rwy_visibility.R | 72 +++++++++++++- 15 files changed, 332 insertions(+), 95 deletions(-)
Title: Fuzzy String Comparison
Description: Provides string similarity calculations inspired by the
Python 'thefuzz' package. Compare strings by edit distance, similarity
ratio, best matching substring, ordered token matching and set-based
token matching. A range of edit distance measures are available thanks
to the 'stringdist' package.
Author: Lewin Appleton-Fox [aut, cre, cph]
Maintainer: Lewin Appleton-Fox <lewin.a.f@gmail.com>
Diff between levitate versions 0.2.0 dated 2023-09-30 and 0.2.2 dated 2025-09-14
DESCRIPTION | 13 ++++++------- MD5 | 10 +++++----- README.md | 19 ++++++++++++++++++- build/vignette.rds |binary inst/doc/levitate.html | 3 ++- tests/testthat/test-weighted.R | 23 +++++++++++++++++++++++ 6 files changed, 54 insertions(+), 14 deletions(-)
Title: Object-Oriented Diagram Plots with 'ggplot2'
Description: Creates diagrams with an object-oriented approach. Geometric
objects have computed properties with information about themselves
(e.g., their area) or about their relationships with other objects
(e.g, the distance between their edges). The objects have methods to
convert them to geoms that can be plotted in 'ggplot2'.
Author: W. Joel Schneider [aut, cre]
Maintainer: W. Joel Schneider <w.joel.schneider@gmail.com>
Diff between ggdiagram versions 0.1.0 dated 2025-08-19 and 0.1.1 dated 2025-09-14
DESCRIPTION | 21 +- MD5 | 58 +++--- NAMESPACE | 166 +++++++++--------- NEWS.md | 10 + R/a_early.R | 36 ++-- R/angles.R | 4 R/arcs.R | 1 R/bezier.R | 1 R/circles.R | 14 + R/colors.R | 9 - R/ellipses.R | 13 + R/equations.R | 4 R/ggdiagram-package.R | 4 R/intersections.R | 415 ++++++++++++++++++++++++++--------------------- R/labels.R | 2 R/lines.R | 3 R/paths.R | 1 R/points.R | 7 R/polygons.R | 6 R/rectangles.R | 2 R/segments.R | 1 R/style.R | 1 README.md | 14 - inst/WORDLIST | 5 inst/doc/ggdiagram.R | 7 inst/doc/ggdiagram.html | 164 ++++++++++++++++++ inst/doc/ggdiagram.qmd | 27 +-- man/ggdiagram-package.Rd | 4 man/ob_point.Rd | 10 + vignettes/ggdiagram.qmd | 27 +-- 30 files changed, 660 insertions(+), 377 deletions(-)
Title: Linux Distribution Properties
Description: In order to provide unified access to Linux distribution details
in R, this package wraps the various files and commands that may exist
on a system. It is similar in spirit to the 'lsb_release' command and the
'Python' package of the same name.
Author: Neal Richardson [aut, cre]
Maintainer: Neal Richardson <neal.p.richardson@gmail.com>
Diff between distro versions 0.1.0 dated 2020-11-09 and 0.1.1 dated 2025-09-14
DESCRIPTION | 10 + MD5 | 16 +-- R/distro.R | 14 +- tests/testthat/os-release/debian-bookworm-testing |only tests/testthat/os-release/debian-bullseye | 5 tests/testthat/os-release/debian-bullseye-testing |only tests/testthat/test-distro.R | 2 tests/testthat/test-lsb-release.R | 112 ++++++++++++++++++---- tests/testthat/test-os-release.R | 34 +++++- tests/testthat/test-system-release.R | 17 ++- 10 files changed, 162 insertions(+), 48 deletions(-)
Title: Prepare Questionnaire Data for Analysis
Description: Offers a suite of functions to prepare questionnaire data for analysis (perhaps other types of data as well). By data preparation, I mean data analytic tasks to get your raw data ready for statistical modeling (e.g., regression). There are functions to investigate missing data, reshape data, validate responses, recode variables, score questionnaires, center variables, aggregate by groups, shift scores (i.e., leads or lags), etc. It provides functions for both single level and multilevel (i.e., grouped) data. With a few exceptions (e.g., ncases()), functions without an "s" at the end of their primary word (e.g., center_by()) act on atomic vectors, while functions with an "s" at the end of their primary word (e.g., centers_by()) act on multiple columns of a data.frame.
Author: David Disabato [aut, cre]
Maintainer: David Disabato <ddisab01@gmail.com>
Diff between quest versions 0.2.0 dated 2023-12-04 and 0.2.1 dated 2025-09-14
DESCRIPTION | 11 +++-- MD5 | 36 +++++++++---------- R/describes_functions.R | 6 ++- R/diary_functions.R | 9 ++++ R/psymet_functions.R | 10 ++--- R/quest_functions.R | 89 +++++++++++++++++++++++++++++++++++++----------- man/add_sig.Rd | 3 + man/add_sig_cor.Rd | 3 + man/aggs.Rd | 31 ++++++++++++++++ man/confint2.boot.Rd | 5 +- man/corp_ml.Rd | 6 --- man/ngrp.Rd | 7 +++ man/pomp.Rd | 2 - man/pomps.Rd | 2 - man/quest-package.Rd | 4 +- man/renames.Rd | 18 +++++++-- man/ucfa.Rd | 4 +- man/winsor.Rd | 19 +++++----- man/winsors.Rd | 12 ++++++ 19 files changed, 196 insertions(+), 81 deletions(-)
Title: 'GLCM' Texture Features
Description: Two 'Gray Level Co-occurrence Matrix' ('GLCM') implementations are included: The first is a fast 'GLCM' feature texture computation based on 'Python' 'Numpy' arrays ('Github' Repository, <https://github.com/tzm030329/GLCM>). The second is a fast 'GLCM' 'RcppArmadillo' implementation which is parallelized (using 'OpenMP') with the option to return all 'GLCM' features at once. For more information, see "Artifact-Free Thin Cloud Removal Using Gans" by Toizumi Takahiro, Zini Simone, Sagi Kazutoshi, Kaneko Eiji, Tsukada Masato, Schettini Raimondo (2019), IEEE International Conference on Image Processing (ICIP), pp. 3596-3600, <doi:10.1109/ICIP.2019.8803652>.
Author: Lampros Mouselimis [aut, cre] ,
Takahiro Toizumi [cph]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>
Diff between fastGLCM versions 1.0.2 dated 2022-09-25 and 1.0.3 dated 2025-09-14
DESCRIPTION | 17 - MD5 | 22 - NEWS.md | 7 README.md | 4 build/vignette.rds |binary inst/doc/fastGLCM_Functionality.R | 16 - inst/doc/fastGLCM_Functionality.Rmd | 2 inst/doc/fastGLCM_Functionality.html | 512 ++++++++++++++++++++++++----------- src/Makevars | 3 src/Makevars.win | 5 src/fastglcm.cpp | 1 vignettes/fastGLCM_Functionality.Rmd | 2 12 files changed, 407 insertions(+), 184 deletions(-)
Title: Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids
and Affinity Propagation Clustering
Description: Gaussian mixture models, k-means, mini-batch-kmeans, k-medoids and affinity propagation clustering with the option to plot, validate, predict (new data) and estimate the optimal number of clusters. The package takes advantage of 'RcppArmadillo' to speed up the computationally intensive parts of the functions. For more information, see (i) "Clustering in an Object-Oriented Environment" by Anja Struyf, Mia Hubert, Peter Rousseeuw (1997), Journal of Statistical Software, <doi:10.18637/jss.v001.i04>; (ii) "Web-scale k-means clustering" by D. Sculley (2010), ACM Digital Library, <doi:10.1145/1772690.1772862>; (iii) "Armadillo: a template-based C++ library for linear algebra" by Sanderson et al (2016), The Journal of Open Source Software, <doi:10.21105/joss.00026>; (iv) "Clustering by Passing Messages Between Data Points" by Brendan J. Frey and Delbert Dueck, Science 16 Feb 2007: Vol. 315, Issue 5814, pp. 972-976, <doi:10.1126/science.1136800>.
Author: Lampros Mouselimis [aut, cre] ,
Conrad Sanderson [cph] ,
Ryan Curtin [cph] ,
Siddharth Agrawal [cph] ),
Brendan Frey [cph] ),
Delbert Dueck [cph] ,
Vitalie Spinu [ctb]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>
Diff between ClusterR versions 1.3.3 dated 2024-06-18 and 1.3.4 dated 2025-09-14
DESCRIPTION | 17 ++--- MD5 | 20 +++--- NEWS.md | 26 +++++--- README.md | 4 - build/vignette.rds |binary inst/doc/the_clusterR_package.R | 112 ++++++++++++++++++------------------- inst/doc/the_clusterR_package.html | 36 +++++------ inst/include/ClusterRHeader.h | 28 ++++----- src/Makevars | 3 src/Makevars.win | 3 src/init.c | 46 +++++++-------- 11 files changed, 150 insertions(+), 145 deletions(-)
Title: Tools for Bayesian Analyses
Description: Provides tools for conducting Bayesian analyses and Bayesian model averaging
(Kass and Raftery, 1995, <doi:10.1080/01621459.1995.10476572>,
Hoeting et al., 1999, <doi:10.1214/ss/1009212519>). The package contains
functions for creating a wide range of prior distribution objects, mixing posterior
samples from 'JAGS' and 'Stan' models, plotting posterior distributions, and etc...
The tools for working with prior distribution span from visualization, generating 'JAGS'
and 'bridgesampling' syntax to basic functions such as rng, quantile, and distribution functions.
Author: Frantisek Bartos [aut, cre]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>
Diff between BayesTools versions 0.2.21 dated 2025-08-29 and 0.2.22 dated 2025-09-14
DESCRIPTION | 6 +- MD5 | 32 +++++------ NEWS.md | 7 ++ R/JAGS-diagnostics.R | 2 R/JAGS-fit.R | 14 ++-- R/JAGS-formula.R | 36 +++--------- R/marginal-distributions.R | 8 +- R/model-averaging-plots.R | 41 ++++++++++++-- R/model-averaging.R | 4 - R/priors-density.R | 13 ++-- R/priors-plot.R | 5 - R/priors-print.R | 4 - R/priors.R | 129 ++++++++++++++++++++++++++++++++++++++------- R/summary-tables.R | 13 ++-- build/partial.rdb |binary inst/doc/ComparisonR.html | 6 +- inst/doc/SpikeAndSlab.html | 4 - 17 files changed, 216 insertions(+), 108 deletions(-)
Title: Arrows for 'ggplot2'
Description: A 'ggplot2' extension that adds specialised arrow geometry layers.
It offers more arrow options than the standard 'grid' arrows that
are built-in many line-based geom layers.
Author: Teun van den Brand [aut, cre]
Maintainer: Teun van den Brand <tahvdbrand@gmail.com>
Diff between ggarrow versions 0.1.0 dated 2024-06-05 and 0.1.1 dated 2025-09-14
DESCRIPTION | 14 MD5 | 52 - NEWS.md | 8 R/arrow_key.R | 108 +-- R/geom_arrow.R | 528 +++++++------- R/geom_arrow_chain.R | 460 ++++++------ R/geom_arrow_curve.R | 386 +++++----- R/geom_arrow_segment.R | 392 +++++------ R/grob_arrow_path.R | 16 R/properties.R |only R/scale_arrow.R | 2 R/theme_elements.R | 567 +++++++++------- R/utils.R | 155 ++-- R/zzz.R |only README.md | 15 build/vignette.rds |binary inst/doc/customisation.html | 25 inst/doc/ornaments.html | 37 - inst/doc/params.html | 29 man/continuous_arrow_scales.Rd | 4 man/discrete_arrow_scales.Rd | 4 man/element_arrow.Rd | 5 man/geom_arrow.Rd | 40 - man/geom_arrow_chain.Rd | 46 - man/geom_arrow_curve.Rd | 40 - man/geom_arrow_segment.Rd | 46 - man/scale_resect.Rd | 10 tests/testthat/_snaps/annotate_arrow/annotate-arrow.svg | 58 - 28 files changed, 1603 insertions(+), 1444 deletions(-)
Title: Programmatic Access to Data and Statistics from the World Bank
API
Description: Search and download data from the World Bank Data API.
Author: Mauricio Vargas Sepulveda [aut, cre] ,
Jesse Piburn [aut] ,
The World Bank [dtc]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>
This is a re-admission after prior archival of version 1.0.4 dated 2020-12-04
Diff between wbstats versions 1.0.4 dated 2020-12-04 and 1.1 dated 2025-09-14
wbstats-1.0.4/wbstats/LICENSE |only wbstats-1.0.4/wbstats/R/deprecated-data.R |only wbstats-1.0.4/wbstats/R/deprecated-utilities.R |only wbstats-1.0.4/wbstats/R/deprecated-wb.R |only wbstats-1.0.4/wbstats/R/deprecated-wbcache.R |only wbstats-1.0.4/wbstats/R/deprecated-wbsearch.R |only wbstats-1.0.4/wbstats/data/wb_cachelist_dep.RData |only wbstats-1.0.4/wbstats/man/wb.Rd |only wbstats-1.0.4/wbstats/man/wb_cachelist_dep.Rd |only wbstats-1.0.4/wbstats/man/wbcache.Rd |only wbstats-1.0.4/wbstats/man/wbcountries.Rd |only wbstats-1.0.4/wbstats/man/wbdatacatalog.Rd |only wbstats-1.0.4/wbstats/man/wbincome.Rd |only wbstats-1.0.4/wbstats/man/wbindicators.Rd |only wbstats-1.0.4/wbstats/man/wblending.Rd |only wbstats-1.0.4/wbstats/man/wbsearch.Rd |only wbstats-1.0.4/wbstats/man/wbsources.Rd |only wbstats-1.0.4/wbstats/man/wbtopics.Rd |only wbstats-1.0.4/wbstats/vignettes/precompile.R |only wbstats-1.0.4/wbstats/vignettes/wbstats.Rmd.orig |only wbstats-1.1/wbstats/DESCRIPTION | 45 - wbstats-1.1/wbstats/MD5 | 88 -- wbstats-1.1/wbstats/NAMESPACE | 42 wbstats-1.1/wbstats/NEWS.md | 158 +-- wbstats-1.1/wbstats/R/build_urls.R | 319 +++---- wbstats-1.1/wbstats/R/data.R | 14 wbstats-1.1/wbstats/R/end_points.R | 330 +++---- wbstats-1.1/wbstats/R/format-data.R | 358 ++++---- wbstats-1.1/wbstats/R/search.R | 114 +- wbstats-1.1/wbstats/R/update_cache.R | 38 wbstats-1.1/wbstats/R/utils-pipe.R | 22 wbstats-1.1/wbstats/R/utils.R | 164 +-- wbstats-1.1/wbstats/R/wb_data.R | 691 ++++++++-------- wbstats-1.1/wbstats/R/wbstats-package.R | 19 wbstats-1.1/wbstats/R/zzz.R | 34 wbstats-1.1/wbstats/README.md | 261 +++--- wbstats-1.1/wbstats/build/vignette.rds |binary wbstats-1.1/wbstats/data/wb_cachelist.RData |binary wbstats-1.1/wbstats/inst/CITATION | 36 wbstats-1.1/wbstats/inst/doc/wbstats.Rmd | 690 ++++++++-------- wbstats-1.1/wbstats/inst/doc/wbstats.html | 898 ++++++++------------- wbstats-1.1/wbstats/man/figures/ggplot2-1.png |binary wbstats-1.1/wbstats/man/figures/logo.svg |only wbstats-1.1/wbstats/man/figures/readme-chart-1.png |binary wbstats-1.1/wbstats/man/wb_cachelist.Rd | 4 wbstats-1.1/wbstats/man/wb_data.Rd | 29 wbstats-1.1/wbstats/man/wbstats.Rd | 23 wbstats-1.1/wbstats/tests |only wbstats-1.1/wbstats/vignettes/wbstats.Rmd | 690 ++++++++-------- 49 files changed, 2478 insertions(+), 2589 deletions(-)
Title: Support for Spatial Objects Within the 'mlr3' Ecosystem
Description: Extends the 'mlr3' ML framework with methods for spatial
objects. Data storage and prediction are supported for packages
'terra', 'raster' and 'stars'.
Author: Marc Becker [aut, cre] ,
Patrick Schratz [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>
Diff between mlr3spatial versions 0.6.0 dated 2025-07-18 and 0.6.1 dated 2025-09-14
DESCRIPTION | 12 +++++------ MD5 | 30 ++++++++++++++-------------- NAMESPACE | 2 + NEWS.md | 5 ++++ R/DataBackendRaster.R | 8 ------- R/DataBackendVector.R | 1 R/data.R | 30 ++++++++++++++++++++++++++++ R/zzz.R | 5 +++- man/DataBackendRaster.Rd | 5 ---- man/TaskClassifST.Rd | 1 man/TaskRegrST.Rd | 1 man/mlr3spatial-package.Rd | 4 +-- man/weights_layer.Rd |only tests/testthat/helper.R |only tests/testthat/helper_expectations.R | 20 +++++++++--------- tests/testthat/test_DataBackendRaster.R | 2 - tests/testthat/test_LearnerClassifSpatial.R | 20 ++++++++++++++++++ 17 files changed, 100 insertions(+), 46 deletions(-)
Title: Mosquito Gene Drive Explorer 2
Description: A simulation modeling framework which significantly extends capabilities from the
'MGDrivE' simulation package via a new mathematical and computational framework based on stochastic Petri nets.
For more information about 'MGDrivE', see our publication: Sánchez et al. (2019) <doi:10.1111/2041-210X.13318>
Some of the notable capabilities of 'MGDrivE2' include: incorporation of human populations,
epidemiological dynamics, time-varying parameters, and a continuous-time simulation
framework with various sampling algorithms for both deterministic and stochastic interpretations.
'MGDrivE2' relies on the genetic inheritance structures provided in package 'MGDrivE', so we
suggest installing that package initially.
Author: Sean L. Wu [aut, cre],
Jared B. Bennett [aut],
Hector Manuel Sanchez Castellanos [ctb],
Tomas M. Leon [ctb],
Andrew J. Dolgert [ctb],
John M. Marshall [aut],
Agastya Mondal [aut]
Maintainer: Sean L. Wu <slwood89@gmail.com>
This is a re-admission after prior archival of version 2.1.0 dated 2023-03-04
Diff between MGDrivE2 versions 2.1.0 dated 2023-03-04 and 2.1.1 dated 2025-09-14
DESCRIPTION | 18 MD5 | 108 +- NAMESPACE | 8 R/Imperial-ode.R | 2 R/PN-epi-node-decoupled-T.R | 12 R/PN-lifecycle-node-T.R | 9 R/auxiliary-analysis.R | 38 - R/auxiliary-batch.R | 3 R/auxiliary-plot.R | 7 R/equilibrium-epiImperial.R | 2 R/equilibrium-epiSIS.R | 2 R/hazard-functions-mosy.R | 14 R/hazard-main.R | 10 R/interventions.R | 15 R/sampling-CLE.R | 2 R/sampling-DM.R | 2 R/sampling-ODE.R | 46 - R/sampling-PTS-decoupled.R | 32 R/sampling-PTS.R | 2 build/vignette.rds |binary inst/doc/advanced_topics.R | 2 inst/doc/advanced_topics.html | 261 +++---- inst/doc/epi-SEIR.R | 2 inst/doc/epi-SEIR.html | 653 +++++++++--------- inst/doc/epi-network.R | 2 inst/doc/epi-network.html | 397 +++++----- inst/doc/epi-node-Imperial-decoupled.R | 2 inst/doc/epi-node-Imperial-decoupled.html | 357 ++++----- inst/doc/epi-node-SIS-decoupled.R | 2 inst/doc/epi-node-SIS-decoupled.html | 215 ++--- inst/doc/epi-node.R | 2 inst/doc/epi-node.html | 249 +++--- inst/doc/inhomogeneous.R | 320 ++++---- inst/doc/inhomogeneous.html | 1088 +++++++++++++++--------------- inst/doc/lifecycle-network.R | 2 inst/doc/lifecycle-network.html | 259 +++---- inst/doc/lifecycle-node.R | 2 inst/doc/lifecycle-node.html | 413 +++++------ man/add_interventions.Rd | 8 man/base_MQ.Rd | 1 man/base_MUH.Rd | 1 man/base_aquatic_geno.Rd | 1 man/base_aquatic_stage.Rd | 1 man/base_erlang.Rd | 1 man/base_erlang_F.Rd | 1 man/base_gen.Rd | 1 man/base_gen_FE.Rd | 1 man/base_sum_F.Rd | 1 man/base_summarize_humans.Rd | 1 man/batch_migration_stage.Rd | 1 man/imperial_model_param_list_create.Rd | 5 man/spn_T_epi_decoupled_node.Rd | 4 man/spn_hazards.Rd | 5 man/summarize_stats_CSV.Rd | 3 man/summarize_stats_CSV_decoupled.Rd | 3 55 files changed, 2333 insertions(+), 2266 deletions(-)
Title: Estimation and Use of the Generalised (Tukey) Lambda
Distribution
Description: The generalised lambda distribution, or Tukey lambda distribution,
provides a wide variety of shapes with one functional form.
This package provides random numbers, quantiles, probabilities,
densities and density quantiles for four different types of the distribution,
the FKML (Freimer et al 1988), RS (Ramberg and Schmeiser 1974), GPD (van Staden
and Loots 2009) and FM5 - see documentation for details.
It provides the density function, distribution function, and Quantile-Quantile
plots.
It implements a variety of estimation methods for the distribution,
including diagnostic plots.
Estimation methods include the starship (all 4 types),
method of L-Moments for the GPD and FKML types, and a
number of methods for only the FKML type.
These include maximum likelihood, maximum product of spacings,
Titterington's method, Moments, Trimmed L-Moments and
Distributional Least Absolutes.
Author: Robert King [aut, cre] ,
Benjamin Dean [aut],
Sigbert Klinke [aut],
Paul van Staden [aut]
Maintainer: Robert King <Robert.King.Newcastle@gmail.com>
Diff between gld versions 2.6.7 dated 2025-01-17 and 2.6.8 dated 2025-09-14
Changelog | 7 +++++++ DESCRIPTION | 12 ++++++------ MD5 | 12 ++++++------ NEWS | 7 +++++++ R/methods.R | 6 +++--- build/partial.rdb |binary man/fit.fkml.Rd | 2 +- 7 files changed, 30 insertions(+), 16 deletions(-)
Title: Calculate Distance Measures for DataFrames
Description: It provides functions that calculate Mahalanobis distance, Euclidean distance, Manhattan distance, Chebyshev distance, Hamming distance, Canberra distance, Minkowski dissimilarity (distance defined for p >= 1), Cosine dissimilarity, Bhattacharyya dissimilarity, Jaccard distance, Hellinger distance, Bray-Curtis dissimilarity, Sorensen-Dice dissimilarity between each pair of species in a list of data frames. These statistics are fundamental in various fields, such as cluster analysis, classification, and other applications of machine learning and data mining, where assessing similarity or dissimilarity between data is crucial. The package is designed to be flexible and easily integrated into data analysis workflows, providing reliable tools for evaluating distances in multidimensional contexts.
Author: Flavio Gioia [aut, cre]
Maintainer: Flavio Gioia <flaviogioia.fg@gmail.com>
Diff between cmahalanobis versions 0.5.0 dated 2025-01-08 and 1.0.0 dated 2025-09-14
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Title: Systems Insights from Generation of Hydroclimatic Timeseries
Description: A tool to create hydroclimate scenarios, stress test systems and visualize system performance in scenario-neutral climate change impact assessments. Scenario-neutral approaches 'stress-test' the performance of a modelled system by applying a wide range of plausible hydroclimate conditions (see Brown & Wilby (2012) <doi:10.1029/2012EO410001> and Prudhomme et al. (2010) <doi:10.1016/j.jhydrol.2010.06.043>). These approaches allow the identification of hydroclimatic variables that affect the vulnerability of a system to hydroclimate variation and change. This tool enables the generation of perturbed time series using a range of approaches including simple scaling of observed time series (e.g. Culley et al. (2016) <doi:10.1002/2015WR018253>) and stochastic simulation of perturbed time series via an inverse approach (see Guo et al. (2018) <doi:10.1016/j.jhydrol.2016.03.025>). It incorporates 'Richardson-type' weather generator model configurations documented in R [...truncated...]
Author: Bree Bennett [aut] ,
David McInerney [aut, cre] ,
Sam Culley [aut] ,
Anjana Devanand [aut] ,
Seth Westra [aut] ,
Danlu Guo [ctb] ,
Holger Maier [ths]
Maintainer: David McInerney <david.mcinerney@adelaide.edu.au>
Diff between foreSIGHT versions 1.2.0 dated 2023-10-19 and 2.0.0 dated 2025-09-14
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Title: Calculating Spatial Risk
Description: Provides methods for spatial risk calculations, focusing on
efficient determination of the sum of observations within a circle of a
given radius. These methods are particularly relevant for applications such
as insurance, where recent European Commission regulations require the
calculation of the maximum insured value of fire risk policies for all
buildings that are partly or fully located within a 200 m radius. The
underlying problem is described by Church (1974) <doi:10.1007/BF01942293>.
Author: Martin Haringa [aut, cre]
Maintainer: Martin Haringa <mtharinga@gmail.com>
Diff between spatialrisk versions 0.7.2 dated 2025-05-25 and 0.7.3 dated 2025-09-14
DESCRIPTION | 22 +++---- MD5 | 34 +++++------ NEWS.md | 3 + R/concentration.R | 54 ++++++++++-------- R/haversine.R | 44 +++++++++++--- R/highest_concentration_terra.R | 100 ++++++++++++++++++--------------- R/map_choropleth.R | 88 ++++++++++------------------- R/map_ggplot2.R | 59 +++++++++++++------- R/map_plot_points.R | 29 ++++++--- R/points_in_circle.R | 56 +++++++++++-------- R/points_to_polygon.R | 12 ++-- man/choropleth.Rd | 41 ++++++++----- man/choropleth_ggplot2.Rd | 61 +++++++++++++------- man/concentration.Rd | 52 ++++++++++------- man/find_highest_concentration.Rd | 112 ++++++++++++++++++++------------------ man/haversine.Rd | 28 +++++++-- man/plot_points.Rd | 24 +++++--- man/points_in_circle.Rd | 34 ++++++----- 18 files changed, 497 insertions(+), 356 deletions(-)
Title: Extended Legends and Axes for 'ggplot2'
Description: A 'ggplot2' extension that focusses on expanding the
plotter's arsenal of guides. Guides in 'ggplot2' include axes and
legends. 'legendry' offers new axes and annotation options, as well as
new legends and colour displays.
Author: Teun van den Brand [aut, cre, cph]
Maintainer: Teun van den Brand <tahvdbrand@gmail.com>
Diff between legendry versions 0.2.3 dated 2025-08-18 and 0.2.4 dated 2025-09-14
DESCRIPTION | 8 MD5 | 60 NEWS.md | 8 R/key-.R | 742 ++++------ R/key-range.R | 6 R/key-segment.R | 6 R/scale-dendro.R | 6 R/utils-checks.R | 614 ++++---- R/utils-ggplot2.R | 545 +++---- R/zzz.R | 16 man/guide_axis_base.Rd | 2 man/key_standard.Rd | 2 man/scale_x_dendro.Rd | 4 tests/testthat/Rplots.pdf |binary tests/testthat/_snaps/compose-ontop/compose-ontop-radial.svg | 30 tests/testthat/_snaps/compose-stack/compose-stack-radial.svg | 30 tests/testthat/_snaps/guide-axis-custom/guide-axis-base-radial.svg | 22 tests/testthat/_snaps/guide-axis-nested/guide-axis-base-radial.svg | 32 tests/testthat/_snaps/guide-legend-base/custom-legend-design.svg | 28 tests/testthat/_snaps/guide-legend-base/standard-legend-design.svg | 28 tests/testthat/_snaps/primitive-box/primitive-box-radial.svg | 32 tests/testthat/_snaps/primitive-bracket/primitive-bracket-radial.svg | 36 tests/testthat/_snaps/primitive-fence/primitive-fence-radial.svg | 26 tests/testthat/_snaps/primitive-labels/primitive-labels-radial.svg | 18 tests/testthat/_snaps/primitive-line/primitive-line-radial.svg | 26 tests/testthat/_snaps/primitive-segments/primitive-segments-radial.svg | 24 tests/testthat/_snaps/primitive-spacer/primitive-spacer-radial.svg | 30 tests/testthat/_snaps/primitive-ticks/primitive-ticks-radial.svg | 18 tests/testthat/_snaps/primitive-title/primitive-title-radial.svg | 18 tests/testthat/_snaps/scale-dendro/scale-dendro-radial.svg | 28 tests/testthat/test-primitive-.R | 140 - 31 files changed, 1279 insertions(+), 1306 deletions(-)
Title: Relative Quantification of Gene Expression using Delta Ct
Methods
Description: The commonly used methods for relative quantification of gene expression levels obtained in real-time PCR (Polymerase Chain Reaction) experiments are the delta Ct methods, encompassing 2^-dCt and 2^-ddCt methods, originally proposed by Kenneth J. Livak and Thomas D. Schmittgen (2001) <doi:10.1006/meth.2001.1262>. The main idea is to normalise gene expression values using endogenous control gene, present gene expression levels in linear form by using the 2^-(value)^ transformation, and calculate differences in gene expression levels between groups of samples (or technical replicates of a single sample). The 'RQdeltaCT' package offers functions that cover both methods for comparison of either independent groups of samples or groups with paired samples, together with importing expression datasets, performing multi-step quality control of data, enabling numerous data visualisations, enrichment of the standard workflow with additional useful analyses (correlation analysis, Receiver Op [...truncated...]
Author: Daniel Zalewski [aut, cre]
Maintainer: Daniel Zalewski <daniel.piotr.zalewski@gmail.com>
Diff between RQdeltaCT versions 1.3.2 dated 2025-02-13 and 1.3.3 dated 2025-09-14
DESCRIPTION | 9 +++++---- MD5 | 11 ++++++----- README.md | 10 +++++++++- inst/CITATION |only inst/doc/my-vignette.Rmd | 9 +++++++-- inst/doc/my-vignette.html | 33 +++++++++++++++++++-------------- vignettes/my-vignette.Rmd | 9 +++++++-- 7 files changed, 53 insertions(+), 28 deletions(-)
Title: A General Algorithm to Enhance the Performance of Variable
Selection Methods in Correlated Datasets
Description: An implementation of the selectboost algorithm (Bertrand et al. 2020, 'Bioinformatics', <doi:10.1093/bioinformatics/btaa855>), which is a general algorithm that improves the precision of any existing variable selection method. This algorithm is based on highly intensive simulations and takes into account the correlation structure of the data. It can either produce a confidence index for variable selection or it can be used in an experimental design planning perspective.
Author: Frederic Bertrand [cre, aut] ,
Myriam Maumy-Bertrand [aut] ,
Ismail Aouadi [ctb],
Nicolas Jung [ctb]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Diff between SelectBoost versions 2.2.2 dated 2022-11-30 and 2.3.0 dated 2025-09-14
SelectBoost-2.2.2/SelectBoost/man/SelectBoost.Rd |only SelectBoost-2.3.0/SelectBoost/DESCRIPTION | 28 SelectBoost-2.3.0/SelectBoost/MD5 | 108 SelectBoost-2.3.0/SelectBoost/NEWS.md | 8 SelectBoost-2.3.0/SelectBoost/R/BIC_AICc_glmnet.R | 2 SelectBoost-2.3.0/SelectBoost/R/SelectBoost-package.R | 57 SelectBoost-2.3.0/SelectBoost/R/autoboost.R | 16 SelectBoost-2.3.0/SelectBoost/R/boost.R | 2 SelectBoost-2.3.0/SelectBoost/R/datasets.R | 1 SelectBoost-2.3.0/SelectBoost/R/group_func_1.R | 2 SelectBoost-2.3.0/SelectBoost/R/group_func_2.R | 2 SelectBoost-2.3.0/SelectBoost/R/lasso_cv.R | 4 SelectBoost-2.3.0/SelectBoost/R/miscplots.R | 2 SelectBoost-2.3.0/SelectBoost/R/network_confidence.R | 9 SelectBoost-2.3.0/SelectBoost/R/plot_selectboost_microarray.R | 2 SelectBoost-2.3.0/SelectBoost/R/selectboost_microarray.R | 3 SelectBoost-2.3.0/SelectBoost/R/simulation.R | 2 SelectBoost-2.3.0/SelectBoost/README.md | 11 SelectBoost-2.3.0/SelectBoost/build/partial.rdb |binary SelectBoost-2.3.0/SelectBoost/build/vignette.rds |binary SelectBoost-2.3.0/SelectBoost/data/Cascade_confidence.RData |binary SelectBoost-2.3.0/SelectBoost/inst/CITATION | 29 SelectBoost-2.3.0/SelectBoost/inst/_pkgdown.yml |only SelectBoost-2.3.0/SelectBoost/inst/doc/benchmarking-selectboost-networks.R | 761 ----- SelectBoost-2.3.0/SelectBoost/inst/doc/benchmarking-selectboost-networks.Rmd | 2 SelectBoost-2.3.0/SelectBoost/inst/doc/benchmarking-selectboost-networks.html | 1471 ++++------ SelectBoost-2.3.0/SelectBoost/inst/doc/confidence-indices-Cascade-networks.R | 103 SelectBoost-2.3.0/SelectBoost/inst/doc/confidence-indices-Cascade-networks.Rmd | 2 SelectBoost-2.3.0/SelectBoost/inst/doc/confidence-indices-Cascade-networks.html | 147 SelectBoost-2.3.0/SelectBoost/inst/doc/sim-with-sb.R | 419 -- SelectBoost-2.3.0/SelectBoost/inst/doc/sim-with-sb.Rmd | 2 SelectBoost-2.3.0/SelectBoost/inst/doc/sim-with-sb.html | 1087 ++----- SelectBoost-2.3.0/SelectBoost/man/AICc_BIC_glmnetB.Rd | 2 SelectBoost-2.3.0/SelectBoost/man/SelectBoost-package.Rd |only SelectBoost-2.3.0/SelectBoost/man/auto.analyze.Rd | 2 SelectBoost-2.3.0/SelectBoost/man/autoboost.Rd | 2 SelectBoost-2.3.0/SelectBoost/man/boost.Rd | 2 SelectBoost-2.3.0/SelectBoost/man/fastboost.Rd | 2 SelectBoost-2.3.0/SelectBoost/man/force.non.inc.Rd | 2 SelectBoost-2.3.0/SelectBoost/man/group_func_1.Rd | 2 SelectBoost-2.3.0/SelectBoost/man/group_func_2.Rd | 2 SelectBoost-2.3.0/SelectBoost/man/miscplot.Rd | 2 SelectBoost-2.3.0/SelectBoost/man/plot.selectboost.Rd | 2 SelectBoost-2.3.0/SelectBoost/man/plot.summary.selectboost.Rd | 2 SelectBoost-2.3.0/SelectBoost/man/plot_selectboost_cascade.Rd | 2 SelectBoost-2.3.0/SelectBoost/man/selectboost_cascade.Rd | 2 SelectBoost-2.3.0/SelectBoost/man/simulation.Rd | 2 SelectBoost-2.3.0/SelectBoost/man/summary.selectboost.Rd | 2 SelectBoost-2.3.0/SelectBoost/man/trajC0.Rd | 2 SelectBoost-2.3.0/SelectBoost/man/var_select.Rd | 2 SelectBoost-2.3.0/SelectBoost/man/var_select_all.Rd | 2 SelectBoost-2.3.0/SelectBoost/tests |only SelectBoost-2.3.0/SelectBoost/vignettes/benchmarking-selectboost-networks.Rmd | 2 SelectBoost-2.3.0/SelectBoost/vignettes/confidence-indices-Cascade-networks.Rmd | 2 SelectBoost-2.3.0/SelectBoost/vignettes/sim-with-sb.Rmd | 2 55 files changed, 1310 insertions(+), 3014 deletions(-)
Title: Model Visualisation Toolbox for 'easystats' and 'ggplot2'
Description: Provides plotting utilities supporting packages in the 'easystats'
ecosystem (<https://github.com/easystats/easystats>) and some extra themes,
geoms, and scales for 'ggplot2'. Color scales are based on
<https://materialui.co/>.
References: Lüdecke et al. (2021) <doi:10.21105/joss.03393>.
Author: Daniel Luedecke [aut, ctb] ,
Dominique Makowski [aut, inv] ,
Indrajeet Patil [aut, cre] ,
Mattan S. Ben-Shachar [aut, ctb] ,
Brenton M. Wiernik [aut, ctb] ,
Remi Theriault [aut, ctb] ,
Philip Waggoner [aut, ctb] ,
Jeffrey R. Stevens [ctb] ,
Matthew Sm [...truncated...]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>
Diff between see versions 0.11.0 dated 2025-03-11 and 0.12.0 dated 2025-09-14
see-0.11.0/see/R/plot.check_outliers_new.R |only see-0.12.0/see/DESCRIPTION | 62 see-0.12.0/see/MD5 | 237 - see-0.12.0/see/NEWS.md | 59 see-0.12.0/see/R/data_plot.R | 25 see-0.12.0/see/R/geom_binomdensity.R | 234 - see-0.12.0/see/R/geom_from_list.R | 47 see-0.12.0/see/R/geom_point2.R | 3 see-0.12.0/see/R/geom_poolpoint.R | 33 see-0.12.0/see/R/geom_violindot.R | 33 see-0.12.0/see/R/geom_violinhalf.R | 52 see-0.12.0/see/R/plot.bayesfactor_models.R | 61 see-0.12.0/see/R/plot.bayesfactor_parameters.R | 29 see-0.12.0/see/R/plot.binned_residuals.R | 70 see-0.12.0/see/R/plot.check_collinearity.R | 58 see-0.12.0/see/R/plot.check_dag.R | 73 see-0.12.0/see/R/plot.check_distribution.R | 27 see-0.12.0/see/R/plot.check_heteroscedasticity.R | 21 see-0.12.0/see/R/plot.check_homogeneity.R | 69 see-0.12.0/see/R/plot.check_model.R | 97 see-0.12.0/see/R/plot.check_normality.R | 385 +- see-0.12.0/see/R/plot.check_outliers.R | 231 - see-0.12.0/see/R/plot.check_outliers.dots.R |only see-0.12.0/see/R/plot.check_outliers.scree.R |only see-0.12.0/see/R/plot.check_overdisp.R | 51 see-0.12.0/see/R/plot.check_predictions.R | 326 + see-0.12.0/see/R/plot.compare_parameters.R | 137 see-0.12.0/see/R/plot.compare_performance.R | 233 - see-0.12.0/see/R/plot.describe_distribution.R | 57 see-0.12.0/see/R/plot.dw_data_tabulate.R | 50 see-0.12.0/see/R/plot.effectsize_table.R | 28 see-0.12.0/see/R/plot.equivalence_test.R | 198 - see-0.12.0/see/R/plot.estimate_contrasts.R | 26 see-0.12.0/see/R/plot.estimate_density.R | 580 +-- see-0.12.0/see/R/plot.hdi.R | 108 see-0.12.0/see/R/plot.n_factors.R | 45 see-0.12.0/see/R/plot.p_direction.R | 80 see-0.12.0/see/R/plot.p_function.R | 52 see-0.12.0/see/R/plot.p_significance.R | 102 see-0.12.0/see/R/plot.parameters_brms_meta.R | 69 see-0.12.0/see/R/plot.parameters_model.R | 1752 +++++----- see-0.12.0/see/R/plot.parameters_pca.R | 301 - see-0.12.0/see/R/plot.parameters_sem.R | 96 see-0.12.0/see/R/plot.parameters_simulate.R | 51 see-0.12.0/see/R/plot.performance_roc.R | 1 see-0.12.0/see/R/plot.performance_simres.R | 342 - see-0.12.0/see/R/plot.point_estimates.R | 55 see-0.12.0/see/R/plot.rope.R | 43 see-0.12.0/see/R/plot.si.R | 40 see-0.12.0/see/R/plot.visualisation_recipe.R | 18 see-0.12.0/see/R/plots.R | 40 see-0.12.0/see/R/print.check_model.R | 22 see-0.12.0/see/R/reshape_to_long.R | 16 see-0.12.0/see/R/scale_color_bluebrown.R | 105 see-0.12.0/see/R/scale_color_colorhex.R | 98 see-0.12.0/see/R/scale_color_flat.R | 83 see-0.12.0/see/R/scale_color_material.R | 91 see-0.12.0/see/R/scale_color_metro.R | 83 see-0.12.0/see/R/scale_color_okabeito.R | 95 see-0.12.0/see/R/scale_color_pizza.R | 91 see-0.12.0/see/R/scale_color_see.R | 96 see-0.12.0/see/R/scale_color_social.R | 95 see-0.12.0/see/R/theme_abyss.R | 38 see-0.12.0/see/R/theme_azurelight.R | 52 see-0.12.0/see/R/theme_blackboard.R | 38 see-0.12.0/see/R/theme_lucid.R | 38 see-0.12.0/see/R/theme_modern.R | 69 see-0.12.0/see/R/theme_radar.R | 66 see-0.12.0/see/R/utils.R | 47 see-0.12.0/see/R/utils_add_prior_layer.R | 34 see-0.12.0/see/build/partial.rdb |binary see-0.12.0/see/inst/WORDLIST | 12 see-0.12.0/see/man/add_plot_attributes.Rd | 2 see-0.12.0/see/man/data_plot.Rd | 2 see-0.12.0/see/man/geom_binomdensity.Rd | 5 see-0.12.0/see/man/geom_from_list.Rd | 12 see-0.12.0/see/man/geom_point2.Rd | 2 see-0.12.0/see/man/geom_violindot.Rd | 6 see-0.12.0/see/man/geom_violinhalf.Rd | 8 see-0.12.0/see/man/plot.see_check_dag.Rd | 2 see-0.12.0/see/man/plot.see_check_distribution.Rd | 2 see-0.12.0/see/man/plot.see_check_model.Rd | 2 see-0.12.0/see/man/plot.see_check_normality.Rd | 4 see-0.12.0/see/man/plot.see_check_outliers.Rd | 56 see-0.12.0/see/man/plot.see_estimate_contrasts.Rd | 2 see-0.12.0/see/man/plot.see_estimate_density.Rd | 2 see-0.12.0/see/man/plot.see_hdi.Rd | 2 see-0.12.0/see/man/plot.see_n_factors.Rd | 2 see-0.12.0/see/man/plot.see_p_direction.Rd | 2 see-0.12.0/see/man/plot.see_p_significance.Rd | 2 see-0.12.0/see/man/plot.see_parameters_brms_meta.Rd | 2 see-0.12.0/see/man/plot.see_parameters_pca.Rd | 7 see-0.12.0/see/man/plot.see_performance_simres.Rd | 2 see-0.12.0/see/man/plot.see_point_estimate.Rd | 2 see-0.12.0/see/man/plot.see_rope.Rd | 2 see-0.12.0/see/man/plot.see_si.Rd | 2 see-0.12.0/see/man/plots.Rd | 2 see-0.12.0/see/man/see-package.Rd | 1 see-0.12.0/see/man/theme_abyss.Rd | 4 see-0.12.0/see/man/theme_azurelight.Rd | 4 see-0.12.0/see/man/theme_blackboard.Rd | 4 see-0.12.0/see/man/theme_lucid.Rd | 4 see-0.12.0/see/man/theme_modern.Rd | 4 see-0.12.0/see/tests/testthat/helper.R | 8 see-0.12.0/see/tests/testthat/test-geom_binomdensity.R |only see-0.12.0/see/tests/testthat/test-plot.check_normality.R | 34 see-0.12.0/see/tests/testthat/test-plot.check_outliers.R | 111 see-0.12.0/see/tests/testthat/test-plot.compare_parameters.R | 20 see-0.12.0/see/tests/testthat/test-plot.describe_distribution.R | 14 see-0.12.0/see/tests/testthat/test-plot.estimate_density.R | 58 see-0.12.0/see/tests/testthat/test-plot.p_direction.R | 3 see-0.12.0/see/tests/testthat/test-plot.p_significance.R | 3 see-0.12.0/see/tests/testthat/test-plot.parameters_model.R | 8 see-0.12.0/see/tests/testthat/test-plot.performance_pp_check.R | 96 see-0.12.0/see/tests/testthat/test-plot.point_estimates.R | 16 see-0.12.0/see/tests/testthat/test-plot.simulate_parameters.R | 88 see-0.12.0/see/tests/testthat/test-plots.R | 69 see-0.12.0/see/tests/testthat/test-scale_color_colorhex_c.R | 5 see-0.12.0/see/tests/testthat/test-scale_color_okabeito.R |only see-0.12.0/see/tests/testthat/test-scale_color_values.R | 10 see-0.12.0/see/tests/testthat/test-vdiffr_geoms_coords.R | 35 see-0.12.0/see/tests/testthat/test-vdiffr_scale_color.R | 35 122 files changed, 5384 insertions(+), 3440 deletions(-)
Title: 'Rcpp' Bindings for the 'simdjson' Header-Only Library for
'JSON' Parsing
Description: The 'JSON' format is ubiquitous for data interchange, and the
'simdjson' library written by Daniel Lemire (and many contributors) provides a
high-performance parser for these files which by relying on parallel 'SIMD'
instruction manages to parse these files as faster than disk speed. See the
<doi:10.48550/arXiv.1902.08318> paper for more details about 'simdjson'. This
package parses 'JSON' from string, file, or remote URLs under a variety of
settings.
Author: Dirk Eddelbuettel [aut, cre] ,
Brendan Knapp [aut] ,
Daniel Lemire [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between RcppSimdJson versions 0.1.13 dated 2025-03-07 and 0.1.14 dated 2025-09-14
ChangeLog | 11 DESCRIPTION | 15 MD5 | 12 build/partial.rdb |binary inst/NEWS.Rd | 6 inst/include/simdjson.cpp | 1435 +++ inst/include/simdjson.h |19700 +++++++++++++++++++++++++++++++++++++++++++--- 7 files changed, 19910 insertions(+), 1269 deletions(-)
Title: Partial Least Squares Regression for Cox Models and Related
Techniques
Description: Provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models in high dimensional settings <doi:10.1093/bioinformatics/btu660>, Bastien, P., Bertrand, F., Meyer N., Maumy-Bertrand, M. (2015), Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data, Bioinformatics, 31(3):397-404. Cross validation criteria were studied in <doi:10.48550/arXiv.1810.02962>, Bertrand, F., Bastien, Ph. and Maumy-Bertrand, M. (2018), Cross validating extensions of kernel, sparse or regular partial least squares regression models to censored data.
Author: Frederic Bertrand [cre, aut] ,
Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Diff between plsRcox versions 1.7.7 dated 2022-11-29 and 1.8.0 dated 2025-09-14
DESCRIPTION | 29 ++++---- MD5 | 130 ++++++++++++++++++++------------------ R/DKplsRcox.R | 4 - R/DR_coxph.R | 4 - R/coxDKpls2DR.R | 4 - R/coxDKplsDR.R | 4 - R/coxDKsplsDR.R | 4 - R/coxpls.R | 4 - R/coxpls2.R | 4 - R/coxpls2DR.R | 4 - R/coxpls3.R | 4 - R/coxpls3DR.R | 4 - R/coxplsDR.R | 4 - R/coxsplsDR.R | 4 - R/cv.autoplsRcox.R | 4 - R/cv.coxDKplsDR.R | 4 - R/cv.coxDKsplsDR.R | 4 - R/cv.coxpls.R | 4 - R/cv.coxplsDR.R | 4 - R/cv.coxsplsDR.R | 4 - R/cv.larsDR.R | 4 - R/cv.plsRcox.R | 4 - R/internal-plsRcox.R | 4 - R/larsDR_coxph.R | 4 - R/plsRcox-package.R | 59 +++++++++-------- R/plsRcox.R | 4 - R/predict.plsRcoxmodel.R | 4 - R/print.plsRcoxmodel.R | 4 - R/print.summary.plsRcoxmodel.R | 4 - R/summary.plsRcoxmodel.R | 4 - README.md | 35 ++++++---- build |only inst/CITATION | 34 +++++---- inst/_pkgdown.yml |only man/DKplsRcox.Rd | 4 - man/DR_coxph.Rd | 4 - man/coxDKpls2DR.Rd | 4 - man/coxDKplsDR.Rd | 4 - man/coxDKsplsDR.Rd | 4 - man/coxpls.Rd | 4 - man/coxpls2.Rd | 4 - man/coxpls2DR.Rd | 4 - man/coxpls3.Rd | 4 - man/coxpls3DR.Rd | 4 - man/coxplsDR.Rd | 4 - man/coxsplsDR.Rd | 4 - man/cv.autoplsRcox.Rd | 4 - man/cv.coxDKplsDR.Rd | 4 - man/cv.coxDKsplsDR.Rd | 4 - man/cv.coxpls.Rd | 4 - man/cv.coxplsDR.Rd | 4 - man/cv.coxsplsDR.Rd | 4 - man/cv.larsDR.Rd | 4 - man/cv.plsRcox.Rd | 4 - man/internal-plsRcox.Rd | 4 - man/larsDR_coxph.Rd | 4 - man/plsRcox-package.Rd | 30 +++++++- man/plsRcox.Rd | 4 - man/predict.plsRcoxmodel.Rd | 4 - man/print.plsRcoxmodel.Rd | 4 - man/print.summary.plsRcoxmodel.Rd | 4 - man/summary.plsRcoxmodel.Rd | 4 - tests |only 63 files changed, 298 insertions(+), 235 deletions(-)
Title: Waveband Definitions for UV, VIS, and IR Radiation
Description: Constructors of waveband objects for commonly used biological
spectral weighting functions (BSWFs) and for different wavebands describing
named ranges of wavelengths in the ultraviolet (UV), visible (VIS)
and infrared (IR) regions of the electromagnetic spectrum. Part of the
'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] ,
Titta K. Kotilainen [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>
Diff between photobiologyWavebands versions 0.5.2 dated 2023-10-24 and 0.5.4 dated 2025-09-14
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Title: Initialization Algorithms for Partitioning Cluster Analysis
Description: Partitioning clustering algorithms divide data sets into k subsets or partitions so-called clusters. They require some initialization procedures for starting the algorithms. Initialization of cluster prototypes is one of such kind of procedures for most of the partitioning algorithms. Cluster prototypes are the centers of clusters, i.e. centroids or medoids, representing the clusters in a data set. In order to initialize cluster prototypes, the package 'inaparc' contains a set of the functions that are the implementations of several linear time-complexity and loglinear time-complexity methods in addition to some novel techniques. Initialization of fuzzy membership degrees matrices is another important task for starting the probabilistic and possibilistic partitioning algorithms. In order to initialize membership degrees matrices required by these algorithms, a number of functions based on some traditional and novel initialization techniques are also available in the package 'inaparc'.
Author: Zeynel Cebeci [aut, cre],
Cagatay Cebeci [aut]
Maintainer: Zeynel Cebeci <zcebeci@cu.edu.tr>
Diff between inaparc versions 1.2.0 dated 2022-06-16 and 1.2.1 dated 2025-09-14
DESCRIPTION | 15 ++++++++------- MD5 | 22 +++++++++++----------- build/partial.rdb |binary inst/CITATION | 27 ++++++++++++++------------- inst/NEWS.Rd | 6 ++++++ man/figen.Rd | 3 ++- man/firstk.Rd | 2 +- man/inaparc-package.Rd | 16 ++++++++-------- man/kkz.Rd | 2 +- man/kmpp.Rd | 2 +- man/maximin.Rd | 2 +- man/rsamp.Rd | 2 +- 12 files changed, 54 insertions(+), 45 deletions(-)