Title: Various Useful Web Tools (Including Full CRAN Dataset Search and
Fetch)
Description: A set of useful web tools to improve your productivity. Including:
searching DuckDuckGo; finding and loading datasets across all CRAN packages
(not just those you've installed); sharing a file to a paste-bin; getting a
fast GUID; useful info on all countries; Random Seinfeld show quotes; Seinfeld
guessing game.
Author: DAT Linux
Maintainer: LS Malenica <datlinux@protonmail.com>
Diff between webtools versions 0.7.11 dated 2022-06-21 and 0.7.12 dated 2022-08-11
DESCRIPTION | 12 +++++++----- MD5 | 16 +++++++++++----- R/ddg.R | 1 + R/dsearch.R | 1 + R/sharebin.R | 1 + R/sysdata.rda |only R/yada.R |only man/scripts.Rd |only man/webtools.Rd | 10 ++++++++-- man/yada.Rd |only man/yadasay.Rd |only man/yadayada.Rd |only 12 files changed, 29 insertions(+), 12 deletions(-)
Title: NFL Logo Plots in 'ggplot2'
Description: A set of functions to visualize National Football League
analysis in 'ggplot2'.
Author: Sebastian Carl [aut, cre]
Maintainer: Sebastian Carl <mrcaseb@gmail.com>
Diff between nflplotR versions 1.0.1 dated 2022-04-06 and 1.1.0 dated 2022-08-11
DESCRIPTION | 15 LICENSE | 4 MD5 | 113 ++-- NAMESPACE | 83 +-- NEWS.md | 6 R/build_grobs.R | 184 +++---- R/geom_from_path.R | 236 ++++----- R/geom_lines.R | 339 +++++++------ R/geom_nfl_headshots.R | 268 +++++----- R/geom_nfl_logos.R | 276 +++++------ R/geom_nfl_wordmarks.R | 270 +++++----- R/ggpreview.R | 134 ++--- R/nfl_team_factors.R |only R/nfl_team_tiers.R | 328 ++++++------- R/nflplotR-package.R | 25 - R/scale_nfl.R | 592 ++++++++++++------------ R/theme-elements.R | 6 R/theme_nfl.R | 130 ++--- R/utils.R | 121 ++-- R/zzz.R |only README.md | 172 +++--- man/dot-nflplotR_clear_cache.Rd |only man/element.Rd | 370 +++++++-------- man/geom_from_path.Rd | 274 +++++------ man/geom_lines.Rd | 240 ++++----- man/geom_nfl_headshots.Rd | 306 ++++++------ man/geom_nfl_logos.Rd | 310 ++++++------ man/geom_nfl_wordmarks.Rd | 304 ++++++------ man/ggpreview.Rd | 174 +++---- man/nfl_team_factor.Rd |only man/nfl_team_tiers.Rd | 220 ++++---- man/nflplotR-package.Rd | 112 ++-- man/scale_axes_nfl.Rd | 418 ++++++++-------- man/scale_nfl.Rd | 282 +++++------ man/theme_nfl.Rd | 108 ++-- man/valid_team_names.Rd | 52 +- tests/testthat.R | 8 tests/testthat/_snaps/geom_from_path/p1.svg | 66 +- tests/testthat/_snaps/geom_lines/p1.svg | 198 ++++---- tests/testthat/_snaps/geom_lines/p2.svg | 194 +++---- tests/testthat/_snaps/geom_lines/p3.svg | 194 +++---- tests/testthat/_snaps/geom_lines/p4.svg | 198 ++++---- tests/testthat/_snaps/geom_nfl_logos/p1.svg | 130 ++--- tests/testthat/_snaps/geom_nfl_logos/p2.svg | 136 ++--- tests/testthat/_snaps/geom_nfl_logos/p3.svg | 130 ++--- tests/testthat/_snaps/geom_nfl_wordmarks/p1.svg | 160 +++--- tests/testthat/_snaps/geom_nfl_wordmarks/p2.svg | 160 +++--- tests/testthat/_snaps/nfl_team_tiers/p1.svg | 148 +++--- tests/testthat/_snaps/scale_nfl/p1.svg | 288 +++++------ tests/testthat/_snaps/theme-elements/p1.svg | 72 +- tests/testthat/_snaps/theme-elements/p2.svg | 72 +- tests/testthat/test-geom_from_path.R | 46 - tests/testthat/test-geom_lines.R | 72 +- tests/testthat/test-geom_nfl_logos.R | 112 ++-- tests/testthat/test-geom_nfl_wordmarks.R | 98 +-- tests/testthat/test-nfl_team_factors.R |only tests/testthat/test-nfl_team_tiers.R | 62 +- tests/testthat/test-scale_nfl.R | 44 - tests/testthat/test-theme-elements.R | 54 +- tests/testthat/test-utils.R | 24 60 files changed, 4593 insertions(+), 4545 deletions(-)
Title: Robust Data Analysis Through Monitoring and Dynamic
Visualization
Description: Provides interface to the 'MATLAB' toolbox 'Flexible Statistical Data Analysis
(FSDA)' which is comprehensive and computationally efficient
software package for robust statistics in regression, multivariate
and categorical data analysis. The current R version implements tools
for regression: (forward search, S- and MM-estimation, least trimmed
squares (LTS) and least median of squares (LMS)), for multivariate analysis
(forward search, S- and MM-estimation), for cluster analysis and cluster-wise regression.
The distinctive feature of our package is the possibility of
monitoring the statistics of interest as a function of breakdown point,
efficiency or subset size, depending on the estimator. This is
accompanied by a rich set of graphical features, such as dynamic
brushing, linking, particularly useful for exploratory data analysis.
Author: Valentin Todorov [aut, cre] ,
Emmanuele Sordini [aut],
Aldo Corbellini [ctb],
Francesca Torti [ctb],
Marco Riani [ctb],
Domenico Perrotta [ctb],
Andrea Cerioli [ctb]
Maintainer: Valentin Todorov <valentin.todorov@chello.at>
Diff between fsdaR versions 0.7-0 dated 2022-05-11 and 0.8-0 dated 2022-08-11
ChangeLog | 22 DESCRIPTION | 10 MD5 | 80 NAMESPACE | 4 R/Sreg_control.R | 9 R/covplot.R | 6 R/datadoc.R | 186 R/fsrfan.R | 4 R/internal.R | 23 R/s3objectsdoc.R | 27 R/score.R |only R/tclust.R | 9 R/tclustICplot.R | 13 data/Income1.rda |only data/Income2.rda |only data/bank_data.rda |only data/forbes.rda |only data/hospital.rda |only data/multiple_regression.rda |only inst/NEWS.Rd | 19 inst/doc/fsdaR.R | 26 inst/doc/fsdaR.Rnw | 62 inst/doc/fsdaR.pdf |binary inst/examples/fsdaR-Ex.R | 8 inst/java/fsda4java.jar |binary inst/java/r_fsda.jar |binary inst/tests/tfsreg.R | 23 inst/tests/tfsreg.Rout.save |19935 ++++++++++++++++++++-------------------- inst/tests/tsomeplots.Rout.save | 255 inst/tests/ttclust.R | 87 inst/tests/ttclust.Rout.save | 1080 +- inst/work/Bug-examples.R | 34 inst/work/create-datasets.R | 151 inst/work/err-11.R |only inst/work/err-12.R |only inst/work/error-10.R | 12 inst/work/error-6.R | 3 inst/work/issues.txt |only man/Income1.Rd |only man/Income2.Rd |only man/MMreg_control.Rd | 24 man/bank_data.Rd |only man/forbes.Rd |only man/fsreda.object.Rd | 9 man/hospital.Rd |only man/multiple_regression.Rd |only man/score.Rd |only man/score.object.Rd |only man/tclustICplot.Rd | 4 vignettes/fsdaR.Rnw | 62 50 files changed, 11600 insertions(+), 10587 deletions(-)
Title: Bayesian Graph Structure Learning using Spike-and-Slab Priors
Description: Bayesian estimation for undirected graphical models using spike-and-slab priors. The package handles continuous, discrete, and mixed data.
Author: Reza Mohammadi [aut, cre]
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>
Diff between ssgraph versions 1.13 dated 2022-05-10 and 1.14 dated 2022-08-11
ssgraph-1.13/ssgraph/src/omp_set_num_cores.cpp |only ssgraph-1.14/ssgraph/DESCRIPTION | 6 +-- ssgraph-1.14/ssgraph/MD5 | 15 ++++---- ssgraph-1.14/ssgraph/NEWS.md | 4 ++ ssgraph-1.14/ssgraph/R/ssgraph.R | 36 ++++++++++++--------- ssgraph-1.14/ssgraph/inst/doc/ssgraph-example.html | 10 +---- ssgraph-1.14/ssgraph/man/ssgraph.Rd | 5 +- ssgraph-1.14/ssgraph/src/gcgm_spike_slab.cpp | 14 ++++++-- ssgraph-1.14/ssgraph/src/ggm_spike_slab.cpp | 14 ++++++-- 9 files changed, 63 insertions(+), 41 deletions(-)
Title: Spatial Dependence: Weighting Schemes, Statistics
Description: A collection of functions to create spatial weights matrix
objects from polygon 'contiguities', from point patterns by distance and
tessellations, for summarizing these objects, and for permitting their
use in spatial data analysis, including regional aggregation by minimum
spanning tree; a collection of tests for spatial 'autocorrelation',
including global 'Morans I' and 'Gearys C' proposed by 'Cliff' and 'Ord'
(1973, ISBN: 0850860369) and (1981, ISBN: 0850860814), 'Hubert/Mantel'
general cross product statistic, Empirical Bayes estimates and
'Assunção/Reis' (1999) <doi:10.1002/(SICI)1097-0258(19990830)18:16%3C2147::AID-SIM179%3E3.0.CO;2-I> Index, 'Getis/Ord' G ('Getis' and 'Ord' 1992)
<doi:10.1111/j.1538-4632.1992.tb00261.x> and multicoloured
join count statistics, 'APLE' ('Li 'et al.' )
<doi:10.1111/j.1538-4632.2007.00708.x>, local 'Moran's I', 'Gearys C'
('Anselin' 1995) <doi:10.1111/j.1538-4632.1995.tb00338.x> and
'Getis/Ord' G ('Ord' and 'Getis' 1995)
<doi:10.1111/j.1538-4632.1995.tb00912.x>,
'saddlepoint' approximations ('Tiefelsdorf' 2002)
<doi:10.1111/j.1538-4632.2002.tb01084.x> and exact tests
for global and local 'Moran's I' ('Bivand et al.' 2009)
<doi:10.1016/j.csda.2008.07.021> and 'LOSH' local indicators
of spatial heteroscedasticity ('Ord' and 'Getis')
<doi:10.1007/s00168-011-0492-y>. The implementation of most of
the measures is described in 'Bivand' and 'Wong' (2018)
<doi:10.1007/s11749-018-0599-x>, with further extensions in 'Bivand' (2022)
<doi:10.1111/gean.12319>.
From 'spdep' and 'spatialreg' versions >= 1.2-1, the model fitting functions
previously present in this package are defunct in 'spdep' and may be found
in 'spatialreg'.
Author: Roger Bivand [cre, aut] ,
Micah Altman [ctb],
Luc Anselin [ctb],
Renato Assuncao [ctb],
Olaf Berke [ctb],
Guillaume Blanchet [ctb],
Marilia Carvalho [ctb],
Bjarke Christensen [ctb],
Yongwan Chun [ctb],
Carsten Dormann [ctb],
Stephane Dray [ctb],
Dewe [...truncated...]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>
Diff between spdep versions 1.2-4 dated 2022-04-18 and 1.2-5 dated 2022-08-11
DESCRIPTION | 19 +++++-- MD5 | 72 +++++++++++++++--------------- NEWS.md | 14 +++++ R/dnearneigh.R | 7 ++ R/gabrielneigh.R | 2 R/knearneigh.R | 4 + R/knn2nb.R | 2 R/nb2listwdist.R | 11 +++- R/nbdists.R | 6 +- R/plot.nb.R | 4 - R/relneigh.R | 4 + R/soi.R | 2 R/sp.correlogram.R | 2 R/tri2nb.R | 2 build/partial.rdb |binary build/vignette.rds |binary inst/CITATION | 5 +- inst/doc/CO69.R | 26 +++++----- inst/doc/CO69.Rmd | 26 +++++----- inst/doc/CO69.html | 36 +++++++-------- inst/doc/nb.R | 9 --- inst/doc/nb.Rmd | 9 --- inst/doc/nb.html | 33 ++++++------- inst/doc/nb_sf.R | 14 ++++- inst/doc/nb_sf.Rmd | 23 +++++++-- inst/doc/nb_sf.html | 59 +++++++++++++----------- inst/doc/sids.html | 4 - inst/etc/misc/coords.rda |only inst/etc/misc/raw_grass_borders_new.RData |only man/dnearneigh.Rd | 24 +++++++--- man/graphneigh.Rd | 5 ++ man/knn2nb.Rd | 4 + man/localmoran.Rd | 2 man/nb2listwdist.Rd | 2 man/tri2nb.Rd | 9 ++- vignettes/CO69.Rmd | 26 +++++----- vignettes/nb.Rmd | 9 --- vignettes/nb_sf.Rmd | 23 +++++++-- 38 files changed, 287 insertions(+), 212 deletions(-)
Title: Interface to Data from the SAFE Project
Description: The SAFE Project (<https://www.safeproject.net/>) is a large
scale ecological experiment in Malaysian Borneo that explores the impact
of habitat fragmentation and conversion on ecosystem function and services.
Data collected at the SAFE Project is made available under a common format
through the Zenodo data repository and this package makes it easy to
discover and load that data into R.
Author: Andy Aldersley [aut],
David Orme [aut, cre]
Maintainer: David Orme <d.orme@imperial.ac.uk>
Diff between safedata versions 1.1.1 dated 2022-04-25 and 1.1.2 dated 2022-08-11
DESCRIPTION | 10 +++---- MD5 | 16 +++++------ NEWS | 6 ++++ R/sysdata.rda |binary build/vignette.rds |binary inst/doc/overview.html | 4 +- inst/doc/using_safe_data.html | 14 ++++----- inst/safedata_example_dir/safedata_example_dir.zip |binary tests/testthat/test-load_safe.R | 30 ++++++++++++++------- 9 files changed, 48 insertions(+), 32 deletions(-)
Title: Multi-Objective Optimization in R
Description: A multiobjective optimization package based on K. Deb's
algorithm and inspired in 'GA' package by Luca Scrucca (2017) <DOI:10.32614/RJ-2017-008>.
The 'rmoo' package is a framework for multi- and many-objective optimization,
allowing to work with representation of real numbers, permutations and
binaries, offering a high range of configurations.
Author: Francisco Benitez [aut, cre],
Diego Pinto Roa [aut]
Maintainer: Francisco Benitez <benitezfj94@gmail.com>
Diff between rmoo versions 0.1.7 dated 2021-09-07 and 0.1.8 dated 2022-08-11
DESCRIPTION | 8 - MD5 | 57 +++++---- R/associate.R | 31 +---- R/crowding_distance.R | 34 ----- R/geneticoperator.R | 174 ------------------------------ R/miscfun.R | 21 ++- R/niching.R | 70 ------------ R/non_dominated_fronts.R | 57 --------- R/nsga.R | 6 - R/nsga2.R | 6 - R/nsga3.R | 19 ++- R/nsgaControl.R | 15 -- R/update_points.R | 74 ------------ R/zzz.R | 2 README.md | 29 +++-- build |only inst/extdata/kroD100.tsp | 214 ++++++++++++++++++------------------- inst/extdata/kroE100.tsp | 214 ++++++++++++++++++------------------- man/associate.Rd | 2 man/kroA100.Rd | 48 ++++---- man/kroB100.Rd | 48 ++++---- man/kroC100.Rd | 48 ++++---- man/niching.Rd | 104 ++++++++--------- man/nsga-class.Rd | 162 ++++++++++++++-------------- man/nsga2-class.Rd | 150 ++++++++++++------------- man/nsga3-class.Rd | 190 ++++++++++++++++---------------- man/numberOrNAOrMatrix-class.Rd | 36 +++--- man/reference_point_multi_layer.Rd | 78 ++++++------- man/rmoo-package.Rd | 8 - man/scale_reference_directions.Rd | 68 +++++------ 30 files changed, 783 insertions(+), 1190 deletions(-)
Title: HTML Metadata Tags for 'R Markdown' and 'Shiny'
Description: Create meta tags for 'R Markdown' HTML documents and 'Shiny'
apps for customized social media cards, for accessibility, and quality
search engine indexing. 'metathis' currently supports HTML documents
created with 'rmarkdown', 'shiny', 'xaringan', 'pagedown', 'bookdown',
and 'flexdashboard'.
Author: Garrick Aden-Buie [aut, cre]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>
Diff between metathis versions 1.1.1 dated 2021-06-29 and 1.1.2 dated 2022-08-11
DESCRIPTION | 9 +++++---- MD5 | 16 ++++++++-------- NEWS.md | 8 ++++++++ R/viewport.R | 2 +- README.md | 4 +++- man/meta.Rd | 6 +++--- man/meta_apple_itunes_app.Rd | 6 ++++-- man/meta_viewport.Rd | 2 +- man/metathis-package.Rd | 8 ++------ 9 files changed, 35 insertions(+), 26 deletions(-)
Title: 'REST' 'API' Client for the 'NHGRI'-'EBI' 'GWAS' Catalog
Description: 'GWAS' R 'API' Data Download.
This package provides easy access to the 'NHGRI'-'EBI' 'GWAS' Catalog data by
accessing the 'REST' 'API' <https://www.ebi.ac.uk/gwas/rest/docs/api/>.
Author: Ramiro Magno [aut, cre] ,
Ana-Teresa Maia [aut] ,
CINTESIS [cph, fnd]
Maintainer: Ramiro Magno <ramiro.magno@gmail.com>
Diff between gwasrapidd versions 0.99.12 dated 2021-11-29 and 0.99.13 dated 2022-08-11
DESCRIPTION | 8 MD5 | 82 +-- NEWS.md | 5 R/get_associations.R | 2 R/get_metadata.R | 2 R/get_studies.R | 2 R/get_traits.R | 2 R/get_variants.R | 2 R/id_mapping.R | 24 R/post-traits.R | 2 README.md | 12 build/partial.rdb |binary build/vignette.rds |binary inst/WORDLIST | 2 inst/doc/bmi_variants.Rmd | 55 +- inst/doc/bmi_variants.html | 296 ++++++++++- inst/doc/faq.Rmd | 392 ++++++++------- inst/doc/faq.html | 1069 +++++++++++++++++++++++++++--------------- inst/doc/gwasrapidd.Rmd | 4 inst/doc/gwasrapidd.html | 286 ++++++++++- man/association_to_study.Rd | 2 man/association_to_trait.Rd | 2 man/association_to_variant.Rd | 2 man/get_associations.Rd | 2 man/get_child_efo.Rd | 2 man/get_metadata.Rd | 2 man/get_studies.Rd | 2 man/get_traits.Rd | 2 man/get_variants.Rd | 2 man/gwasrapidd-package.Rd | 4 man/study_to_association.Rd | 2 man/study_to_trait.Rd | 2 man/study_to_variant.Rd | 2 man/trait_to_association.Rd | 2 man/trait_to_study.Rd | 2 man/trait_to_variant.Rd | 2 man/variant_to_association.Rd | 2 man/variant_to_study.Rd | 2 man/variant_to_trait.Rd | 2 vignettes/bmi_variants.Rmd | 55 +- vignettes/faq.Rmd | 392 ++++++++------- vignettes/gwasrapidd.Rmd | 4 42 files changed, 1861 insertions(+), 877 deletions(-)
Title: Utilities for the Forest Research Institute of the State
Baden-Wuerttemberg
Description: Miscellaneous utilities, tools and helper
functions for finding and searching files on disk, searching for and
removing R objects from the workspace.
These are utilities for packages
<https://CRAN.R-project.org/package=cleanr>,
<https://CRAN.R-project.org/package=document>,
<https://CRAN.R-project.org/package=fakemake>,
<https://CRAN.R-project.org/package=packager>,
<https://CRAN.R-project.org/package=rasciidoc> and
<https://CRAN.R-project.org/package=treePlotArea>.
Does not import or depend on any third party package, but on core R
only (i.e. it may depend on packages with priority 'base').
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>
Diff between fritools versions 3.6.0 dated 2022-08-05 and 3.7.0 dated 2022-08-11
DESCRIPTION | 6 +- MD5 | 51 +++++++++++-------- NAMESPACE | 2 NEWS.md | 7 ++ R/column_sums.R |only R/compare_vectors.R | 1 R/find_files.R | 8 +- R/relative_difference.R |only inst/NEWS.rd | 9 +++ inst/doc/An_Introduction_to_fritools.html | 4 - inst/runit_tests/runit-column_sums.R |only inst/runit_tests/runit-delete_trailing_blank_lines.R | 4 - inst/runit_tests/runit-delete_trailing_whitespace.R | 2 inst/source/R/column_sums.R |only inst/source/R/compare_vectors.R | 1 inst/source/R/find_files.R | 8 +- inst/source/R/relative_difference.R |only inst/source/man/column_sums.Rd |only inst/source/man/compare_vectors.Rd | 4 + inst/source/man/count_groups.Rd | 2 inst/source/man/find_files.Rd | 8 +- inst/source/man/relative_difference.Rd |only inst/source/man/round_half_away_from_zero.Rd | 2 inst/source/man/weighted_variance.Rd | 2 man/column_sums.Rd |only man/compare_vectors.Rd | 4 + man/count_groups.Rd | 2 man/find_files.Rd | 8 +- man/relative_difference.Rd |only man/round_half_away_from_zero.Rd | 2 man/weighted_variance.Rd | 2 31 files changed, 92 insertions(+), 47 deletions(-)
Title: Argentina's Permanent Household Survey Data and Manipulation
Utilities
Description: Tools to download and manipulate the Permanent Household Survey from Argentina
(EPH is the Spanish acronym for Permanent Household Survey).
e.g: get_microdata() for downloading the datasets, get_poverty_lines() for downloading the official poverty baskets,
calculate_poverty() for the calculation of stating if a household is in poverty or not, following the official methodology.
organize_panels() is used to concatenate observations from different periods, and organize_labels()
adds the official labels to the data. The implemented methods are based on INDEC (2016) <http://www.estadistica.ec.gba.gov.ar/dpe/images/SOCIEDAD/EPH_metodologia_22_pobreza.pdf>.
As this package works with the argentinian Permanent Household Survey and its main audience is from this country,
the documentation was written in Spanish.
Author: Diego Kozlowski [aut] ,
Pablo Tiscornia [aut],
Guido Weksler [aut],
Natsumi Shokida [aut],
German Rosati [aut] ,
Juan Gabriel Juara [ctb],
Carolina Pradier [aut, cre]
Maintainer: Carolina Pradier <carolinapradier@gmail.com>
Diff between eph versions 0.4.0 dated 2020-06-25 and 0.5.0 dated 2022-08-11
DESCRIPTION | 29 LICENSE | 4 MD5 | 148 +- NAMESPACE | 27 NEWS.md | 9 R/CNO.R | 24 R/adulto_equivalente.R | 22 R/caes.R | 40 R/calculate_errors.R |only R/calculate_poverty.R | 121 - R/calculate_tabulates.R | 302 ++-- R/canastas_reg_example.R | 30 R/centroides_aglomerados.R | 24 R/diccionario_aglomerados.R | 20 R/diccionario_regiones.R | 20 R/eph.R | 135 - R/errores_muestrales.R |only R/get_microdata.R | 224 +-- R/get_microdata_internal.R | 350 ++-- R/get_poverty_lines.R | 74 - R/is_in_github.R | 64 R/map_agglomerates.R | 96 - R/organize_caes.R | 100 - R/organize_cno.R | 130 - R/organize_labels.R | 2182 +++++++++++++++--------------- R/organize_panels.R | 126 - R/python/epyh.py | 56 R/toybase_hogar_2016_04.R | 194 +- R/toybase_individual_2016_03.R | 370 ++--- R/toybase_individual_2016_04.R | 372 ++--- R/utils-pipe.R | 18 README.md | 215 +- build/vignette.rds |binary data/errores_muestrales.rda |only inst/CITATION | 36 inst/doc/eph.R | 227 +-- inst/doc/eph.Rmd | 515 +++---- inst/doc/eph.html | 1314 ++++++++++-------- inst/doc/estimacion_pobreza.R | 183 -- inst/doc/estimacion_pobreza.Rmd | 545 +++---- inst/doc/estimacion_pobreza.html | 1266 ++++++++--------- man/CNO.Rd | 48 man/adulto_equivalente.Rd | 46 man/caes.Rd | 64 man/calculate_errors.Rd |only man/calculate_poverty.Rd | 75 - man/calculate_tabulates.Rd | 142 - man/canastas_reg_example.Rd | 50 man/centroides_aglomerados.Rd | 46 man/diccionario_aglomerados.Rd | 44 man/diccionario_regiones.Rd | 44 man/eph.Rd | 26 man/errores_muestrales.Rd |only man/figures |only man/get_microdata.Rd | 119 - man/get_microdata_internal.Rd | 56 man/get_poverty_lines.Rd | 48 man/is_in_github.Rd | 36 man/map_agglomerates.Rd | 72 man/organize_caes.Rd | 60 man/organize_cno.Rd | 54 man/organize_labels.Rd | 44 man/organize_panels.Rd | 64 man/pipe.Rd | 24 man/toybase_hogar_2016_04.Rd | 216 +- man/toybase_individual_2016_03.Rd | 394 ++--- man/toybase_individual_2016_04.Rd | 394 ++--- tests/testthat.R | 8 tests/testthat/test-calculate_poverty.R | 42 tests/testthat/test-calculate_tabulates.R | 48 tests/testthat/test-get_microdata.R | 70 tests/testthat/test-get_poverty_lines.R | 32 tests/testthat/test-map_agglomerates.R | 22 tests/testthat/test-organize_caes.R | 20 tests/testthat/test-organize_labels.R | 28 tests/testthat/test-organize_panels.R | 26 vignettes/eph.Rmd | 515 +++---- vignettes/estimacion_pobreza.Rmd | 545 +++---- 78 files changed, 6635 insertions(+), 6499 deletions(-)
Title: Analysis and Graphics for Unreplicated Experiments
Description: Provides half-normal plots, reference plots, and Pareto plots
of effects from an unreplicated experiment, along with various
pseudo-standard-error measures, simulated reference distributions,
and other tools. Many of these methods are described in
Daniel C. (1959) <doi:10.1080/00401706.1959.10489866> and/or
Lenth R.V. (1989) <doi:10.1080/00401706.1989.10488595>, but some new
approaches are added and integrated in one package.
Author: Russell Lenth [aut, cre, cph]
Maintainer: Russell Lenth <russell-lenth@uiowa.edu>
Diff between unrepx versions 1.0 dated 2017-07-26 and 1.0-2 dated 2022-08-11
DESCRIPTION | 11 MD5 | 16 - R/plots.R | 22 - build/vignette.rds |binary inst/NEWS | 4 inst/doc/overview.R | 20 - inst/doc/overview.Rmd | 18 - inst/doc/overview.html | 759 +++++++++++++++++++++++++++++++------------------ vignettes/overview.Rmd | 18 - 9 files changed, 561 insertions(+), 307 deletions(-)
Title: SHAP Visualizations
Description: Visualizations for SHAP (SHapley Additive exPlanations), such
as waterfall plots, force plots, various types of importance plots,
and dependence plots. These plots act on a 'shapviz' object created
from a matrix of SHAP values and a corresponding feature dataset.
Wrappers for the R packages 'xgboost', 'lightgbm', 'fastshap',
'shapr', 'h2o', 'treeshap', and 'kernelshap' are added for
convenience. By separating visualization and computation, it is
possible to display factor variables in graphs, even if the SHAP
values are calculated by a model that requires numerical features. The
plots are inspired by those provided by the 'shap' package in Python,
but there is no dependency on it.
Author: Michael Mayer [aut, cre]
Maintainer: Michael Mayer <mayermichael79@gmail.com>
Diff between shapviz versions 0.2.0 dated 2022-07-07 and 0.2.1 dated 2022-08-11
DESCRIPTION | 20 +++--- MD5 | 30 ++++----- NAMESPACE | 2 NEWS.md | 15 ++++ R/shapviz.R | 19 ++++- README.md | 27 ++++---- inst/doc/shapviz.Rmd | 139 ++++++++++++++++++++++++++++++------------ inst/doc/shapviz.html | 161 +++++++++++++++++++++++++++++++++---------------- man/collapse_shap.Rd | 6 - man/shapviz-package.Rd | 4 - man/shapviz.Rd | 28 +++++--- man/sv_dependence.Rd | 6 - man/sv_force.Rd | 6 - man/sv_importance.Rd | 6 - man/sv_waterfall.Rd | 6 - vignettes/shapviz.Rmd | 139 ++++++++++++++++++++++++++++++------------ 16 files changed, 416 insertions(+), 198 deletions(-)
Title: Automated Personal Package Setup
Description: Functions to setup a personal R package that attaches given
libraries and exports personal helper functions.
Author: Sebastian Carl [aut, cre]
Maintainer: Sebastian Carl <mrcaseb@gmail.com>
Diff between personalr versions 1.0.1 dated 2020-11-23 and 1.0.3 dated 2022-08-11
DESCRIPTION | 22 +- MD5 | 32 ++-- NAMESPACE | 12 - NEWS.md | 19 +- R/personalr-package.R | 20 +- R/setup_package.R | 189 ++++++++++++------------ R/update_core.R | 162 ++++++++++----------- R/utils.R | 268 +++++++++++++++++------------------ README.md | 125 ++++++++-------- inst/templates/attach.R | 124 ++++++++-------- inst/templates/conflicts.R | 164 ++++++++++----------- inst/templates/package-README | 78 +++++----- inst/templates/packagename-package.R | 16 +- inst/templates/utils.R | 88 +++++------ inst/templates/zzz.R | 40 ++--- man/personalr-package.Rd | 52 +++--- man/setup_package.Rd | 80 +++++----- 17 files changed, 750 insertions(+), 741 deletions(-)
Title: Pandoc Filters for R
Description: The document converter 'pandoc' <https://pandoc.org/> is widely used
in the R community. One feature of 'pandoc' is that it can produce and consume
JSON-formatted abstract syntax trees (AST). This allows to transform a given
source document into JSON-formatted AST, alter it by so called filters and pass
the altered JSON-formatted AST back to 'pandoc'. This package provides functions
which allow to write such filters in native R code.
Although this package is inspired by the Python package 'pandocfilters'
<https://github.com/jgm/pandocfilters/>, it provides additional convenience functions which make it simple to use the 'pandocfilters' package as a
report generator. Since 'pandocfilters' inherits most of it's functionality
from 'pandoc' it can create documents in many formats
(for more information see <https://pandoc.org/>) but is also bound to the same
limitations as 'pandoc'.
Author: Florian Schwendinger [aut, cre],
Kurt Hornik [aut],
Andrie de Vries [ctb]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>
Diff between pandocfilters versions 0.1-5 dated 2022-05-06 and 0.1-6 dated 2022-08-11
DESCRIPTION | 8 +- MD5 | 8 +- R/pandocfilters.R | 86 ++++++---------------------- build/vignette.rds |binary man/document.Rd | 161 ++++++++++++++++++++++++++++++----------------------- 5 files changed, 122 insertions(+), 141 deletions(-)
Title: A Collection of Functions for Negligible Effect/Equivalence
Testing
Description: Researchers often want to evaluate whether there is a negligible
relationship among variables. The 'negligible' package provides functions that
are useful for conducting negligible effect testing (also called
equivalence testing). For example, there are functions for evaluating the
equivalence of means or the presence of a negligible association (correlation/
regression). Beribisky, N., Mara, C., & Cribbie, R. A. (2020) <doi:10.20982/tqmp.16.4.p424>.
Beribisky, N., Davidson, H., Cribbie, R. A. (2019) <doi:10.7717/peerj.6853>.
Shiskina, T., Farmus, L., & Cribbie, R. A. (2018) <doi:10.20982/tqmp.14.3.p167>.
Mara, C. & Cribbie, R. A. (2017) <doi:10.1080/00220973.2017.1301356>.
Counsell, A. & Cribbie, R. A. (2015) <doi:10.1111/bmsp.12045>.
van Wieringen, K. & Cribbie, R. A. (2014) <doi:10.1111/bmsp.12015>.
Goertzen, J. R. & Cribbie, R. A. (2010) <doi:10.1348/000711009x475853>.
Cribbie, R. A., Gruman, J. & Arpin-Cribbie, C. (2004) <doi:10.1002/jclp.10217>.
Author: Robert Cribbie [aut, cre],
Udi Alter [aut],
Nataly Beribisky [aut],
Phil Chalmers [aut],
Alyssa Counsell [aut],
Linda Farmus [aut],
Naomi Martinez Gutierrez [aut],
Victoria Ng [ctb]
Maintainer: Robert Cribbie <cribbie@yorku.ca>
Diff between negligible versions 0.1.1 dated 2022-06-09 and 0.1.2 dated 2022-08-11
DESCRIPTION | 10 - MD5 | 42 ++--- NAMESPACE | 3 R/neg.cat.R | 42 ++--- R/neg.cor.R | 410 ++++++++++++++++++++++++------------------------- R/neg.esm.R | 56 ++++-- R/neg.indvars.R | 1 R/neg.intcont.R | 40 ++-- R/neg.paired.R |only R/neg.pd.R | 119 +++++++------- R/neg.reg.R | 148 +++++++++++------ R/neg.rmsea.R |only R/neg.twocors.R | 28 +-- R/neg.twoindmeans.R | 48 ++--- man/neg.cat.Rd | 2 man/neg.esm.Rd | 9 - man/neg.indvars.Rd | 2 man/neg.intcont.Rd | 2 man/neg.paired.Rd |only man/neg.pd.Rd | 8 man/neg.reg.Rd | 58 +++++- man/neg.rmsea.Rd |only man/neg.twocors.Rd | 4 man/neg.twoindmeans.Rd | 2 24 files changed, 578 insertions(+), 456 deletions(-)
Title: Functions for Common Chart Types
Description: Wrapper for the 'ggplot2' package that creates a variety of common
charts (e.g. bar, line, area, ROC, waterfall, pie) while aiming to reduce
typing.
Author: Wojtek Kostelecki
Maintainer: Wojtek Kostelecki <wojtek.kostelecki@gmail.com>
Diff between ezplot versions 0.7.2 dated 2021-08-08 and 0.7.3 dated 2022-08-11
DESCRIPTION | 8 - MD5 | 54 ++++---- NEWS.md | 5 R/agg_data.R | 2 R/bar_plot.R | 6 R/line_plot.R | 4 R/pie_plot.R | 2 R/secondary_plot.R | 2 R/variable_plot.R | 8 - README.md | 7 - build/vignette.rds |binary inst/doc/basics.R | 2 inst/doc/basics.Rmd | 2 inst/doc/basics.html | 220 +++++++++++++++++++++++++++++++++--- inst/doc/overview.R | 2 inst/doc/overview.Rmd | 2 inst/doc/overview.html | 205 ++++++++++++++++++++++++++++++++- man/agg_data.Rd | 2 man/area_plot.Rd | 8 - man/bar_plot.Rd | 8 - man/line_plot.Rd | 2 man/pie_plot.Rd | 2 man/secondary_plot.Rd | 2 man/variable_plot.Rd | 2 tests/testthat.R | 2 tests/testthat/test-variable_plot.R | 2 vignettes/basics.Rmd | 2 vignettes/overview.Rmd | 2 28 files changed, 481 insertions(+), 84 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-04-18 1.2.1
2022-03-14 1.2.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-08-09 0.1.0
Title: Version, Share, Deploy, and Monitor Models
Description: The goal of 'vetiver' is to provide fluent tooling to
version, share, deploy, and monitor a trained model. Functions handle
both recording and checking the model's input data prototype, and
predicting from a remote API endpoint. The 'vetiver' package is
extensible, with generics that can support many kinds of models.
Author: Julia Silge [cre, aut] ,
RStudio [cph, fnd]
Maintainer: Julia Silge <julia.silge@rstudio.com>
Diff between vetiver versions 0.1.6 dated 2022-07-06 and 0.1.7 dated 2022-08-11
DESCRIPTION | 6 - MD5 | 26 ++--- NEWS.md | 6 + R/monitor.R | 198 +++++++++++++++++++++++++++++---------- R/pin-read-write.R | 7 - build/vignette.rds |binary inst/doc/model-card.html | 2 inst/doc/vetiver.html | 37 +++---- man/vetiver_compute_metrics.Rd | 80 +-------------- man/vetiver_pin_metrics.Rd |only man/vetiver_pin_write.Rd | 4 man/vetiver_plot_metrics.Rd |only tests/testthat/_snaps/monitor.md | 8 + tests/testthat/test-dashboard.R | 2 tests/testthat/test-monitor.R | 12 ++ 15 files changed, 231 insertions(+), 157 deletions(-)
Title: Broadly Useful Convenient and Efficient R Functions
Description: Broadly useful convenient and efficient R functions
that bring users concise and elegant R data analyses.
This package includes easy-to-use functions for
(1) basic R programming
(e.g., set working directory to the path of currently opened file;
import/export data from/to files in any format;
print tables to Microsoft Word);
(2) multivariate computation
(e.g., compute scale sums/means/... with reverse scoring);
(3) reliability analyses and factor analyses;
(4) descriptive statistics and correlation analyses;
(5) t-test, multi-factor analysis of variance (ANOVA),
simple-effect analysis, and post-hoc multiple comparison;
(6) tidy report of statistical models
(to R Console and Microsoft Word);
(7) mediation and moderation analyses (PROCESS);
and (8) additional toolbox for statistics and graphics.
Author: Han-Wu-Shuang Bao [aut, cre]
Maintainer: Han-Wu-Shuang Bao <baohws@foxmail.com>
Diff between bruceR versions 0.8.8 dated 2022-06-27 and 0.8.9 dated 2022-08-11
DESCRIPTION | 10 +++--- MD5 | 42 ++++++++++++++--------------- NEWS.md | 12 +++++++- R/bruceR-stats_1_basic.R | 4 +- R/bruceR-stats_3_manova.R | 4 +- R/bruceR-stats_4_regress.R | 18 ++++++++---- R/bruceR-stats_5_advance.R | 6 ++-- R/bruceR.R | 14 ++++----- R/bruceR_utils.R | 17 ++++++++--- README.md | 3 -- man/EFA.Rd | 6 ++-- man/HLM_ICC_rWG.Rd | 12 ++++++-- man/HLM_summary.Rd | 4 +- man/MANOVA.Rd | 4 +- man/PROCESS.Rd | 6 ++-- man/Print.Rd | 6 ++-- man/add.Rd | 6 ++-- man/bruceR-package.Rd | 2 - man/grapes-grapes-COMPUTE-grapes-grapes.Rd | 18 ++++++------ man/import.Rd | 3 +- man/p.Rd | 12 ++++---- man/set.wd.Rd | 6 ++-- 22 files changed, 122 insertions(+), 93 deletions(-)
Title: Functions to Calculate Optimal Fourth Down Decisions in the
National Football League
Description: A set of functions to estimate outcomes of fourth down
plays in the National Football League and obtain fourth down plays
from <https://www.nfl.com/> and <https://www.espn.com/>.
Author: Ben Baldwin [aut, cre, cph],
Sebastian Carl [ctb]
Maintainer: Ben Baldwin <bbaldwin206@gmail.com>
Diff between nfl4th versions 1.0.1 dated 2021-10-16 and 1.0.2 dated 2022-08-11
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- NEWS.md | 42 +++++++++++++++++++++++------------------- README.md | 2 +- man/nfl4th-package.Rd | 6 ++---- 5 files changed, 34 insertions(+), 32 deletions(-)
Title: Generalized Boosted Regression Models
Description: An implementation of extensions to Freund and Schapire's AdaBoost
algorithm and Friedman's gradient boosting machine. Includes regression
methods for least squares, absolute loss, t-distribution loss, quantile
regression, logistic, multinomial logistic, Poisson, Cox proportional hazards
partial likelihood, AdaBoost exponential loss, Huberized hinge loss, and
Learning to Rank measures (LambdaMart). Originally developed by Greg Ridgeway.
Author: Brandon Greenwell [aut, cre] ,
Bradley Boehmke [aut] ,
Jay Cunningham [aut],
GBM Developers [aut]
Maintainer: Brandon Greenwell <greenwell.brandon@gmail.com>
Diff between gbm versions 2.1.8 dated 2020-07-15 and 2.1.8.1 dated 2022-08-11
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- src/coxph.cpp | 1 + src/node_search.cpp | 1 + src/pairwise.h | 1 + 5 files changed, 10 insertions(+), 7 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-08-28 1.3
2013-10-28 1.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-03-30 1.2
2015-03-15 1.1
2014-10-22 1.0
Title: Genotype by Environment (GxE) Analysis
Description: Analysis of multi environment data of plant breeding experiments
following the analyses described in Malosetti, Ribaut,
and van Eeuwijk (2013), <doi:10.3389/fphys.2013.00044>.
One of a series of statistical genetic packages for streamlining the analysis of
typical plant breeding experiments developed by Biometris.
Some functions have been created to be used in conjunction with the R
package 'asreml' for the 'ASReml' software, which can be obtained upon
purchase from 'VSN' international (<https://vsni.co.uk/software/asreml-r>).
Author: Bart-Jan van Rossum [aut, cre],
Fred van Eeuwijk [ctb] ,
Martin Boer [ctb],
Marcos Malosetti [ctb] ,
Daniela Bustos-Korts [ctb] ,
Emilie J Millet [ctb] ,
Joao Paulo [ctb] ,
Maikel Verouden [ctb] ,
Willem Kruijer [ctb] ,
Ron Wehrens [ctb] ,
Choazhi Zh [...truncated...]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>
Diff between statgenGxE versions 1.0.4 dated 2021-01-07 and 1.0.5 dated 2022-08-11
DESCRIPTION | 12 MD5 | 68 +- NEWS.md | 8 R/createAMMI.R | 113 ++- R/createFW.R | 41 - R/createMegaEnv.R | 3 R/createStability.R | 33 R/createVarComp.R | 62 - R/data.R | 2 R/gxeAmmi.R | 8 R/gxeFw.R | 21 R/gxeMegaEnv.R | 20 R/gxeStability.R | 6 R/gxeVarComp.R | 2 R/gxeVarCov.R | 23 README.md | 2 build/partial.rdb |binary build/vignette.rds |binary inst/doc/statgenGxE.R | 8 inst/doc/statgenGxE.Rmd | 60 + inst/doc/statgenGxE.html | 1223 ++++++++++++++++++++++++++----------- man/TDMaize.Rd | 2 man/gxeVarCov.Rd | 5 man/plot.AMMI.Rd | 13 man/predict.varComp.Rd | 12 man/statgenGxE-package.Rd | 9 tests/testthat/Rplots.pdf |binary tests/testthat/test-gxeAmmi.R | 10 tests/testthat/test-gxeFW.R | 29 tests/testthat/test-gxeStability.R | 42 - tests/testthat/test-gxeVarComp.R | 8 tests/testthat/test-gxeVarCov.R | 12 tests/testthat/test-summaries.R | 14 vignettes/bibliography.bib | 2 vignettes/statgenGxE.Rmd | 60 + 35 files changed, 1316 insertions(+), 617 deletions(-)
Title: Boundary Adaptive Local Polynomial Conditional Density Estimator
Description: Tools for estimation and inference of conditional densities, derivatives and functions. This is the companion software for Cattaneo, Chandak, Jansson and Ma (2022).
Author: Rajita Chandak [aut, cre]
Maintainer: Rajita Chandak <rchandak@princeton.edu>
Diff between lpcde versions 0.0.1 dated 2022-05-05 and 0.1.0 dated 2022-08-11
lpcde-0.0.1/lpcde/R/test.R |only lpcde-0.0.1/lpcde/man/SxmatC.Rd |only lpcde-0.0.1/lpcde/man/basis_vecC.Rd |only lpcde-0.0.1/lpcde/man/int_valC.Rd |only lpcde-0.0.1/lpcde/man/kernel_evalC.Rd |only lpcde-0.0.1/lpcde/man/mat_inv.Rd |only lpcde-0.0.1/lpcde/man/poly_baseC.Rd |only lpcde-0.1.0/lpcde/DESCRIPTION | 11 lpcde-0.1.0/lpcde/MD5 | 61 +-- lpcde-0.1.0/lpcde/NEWS.md | 10 lpcde-0.1.0/lpcde/R/RcppExports.R | 66 ---- lpcde-0.1.0/lpcde/R/lpbwcde.R | 30 + lpcde-0.1.0/lpcde/R/lpbwcde_fns.R | 515 +++++++++++++++++++++----------- lpcde-0.1.0/lpcde/R/lpbwcde_methods.R | 20 + lpcde-0.1.0/lpcde/R/lpcde.R | 8 lpcde-0.1.0/lpcde/R/lpcde_fns.R | 516 +++++++++++++++------------------ lpcde-0.1.0/lpcde/R/lpcde_methods.R | 56 ++- lpcde-0.1.0/lpcde/R/matrices.R | 48 --- lpcde-0.1.0/lpcde/R/utils.R | 60 +-- lpcde-0.1.0/lpcde/man/S_exact.Rd | 24 - lpcde-0.1.0/lpcde/man/T_y_exact.Rd | 2 lpcde-0.1.0/lpcde/man/bw_imse.Rd |only lpcde-0.1.0/lpcde/man/c_exact.Rd | 2 lpcde-0.1.0/lpcde/man/coef.lpbwcde.Rd | 11 lpcde-0.1.0/lpcde/man/coef.lpcde.Rd | 10 lpcde-0.1.0/lpcde/man/confint.lpcde.Rd | 10 lpcde-0.1.0/lpcde/man/cov_hat.Rd | 6 lpcde-0.1.0/lpcde/man/mvec.Rd |only lpcde-0.1.0/lpcde/man/print.lpbwcde.Rd | 11 lpcde-0.1.0/lpcde/man/print.lpcde.Rd | 10 lpcde-0.1.0/lpcde/man/vcov.lpcde.Rd | 10 lpcde-0.1.0/lpcde/src/RcppExports.cpp | 93 ----- lpcde-0.1.0/lpcde/src/utilsC.cpp | 217 ------------- lpcde-0.1.0/lpcde/tests |only 34 files changed, 809 insertions(+), 998 deletions(-)
Title: A Unifying API for Calling the 'Unity' '3D' Video Game Engine
Description: Functions for the creation and manipulation of scenes and objects
within the 'Unity' '3D' video game engine (<https://unity.com/>). Specific
focuses include the creation and import of terrain data and 'GameObjects' as
well as scene management.
Author: Michael Mahoney [aut, cre] ,
Will Jones [rev] for rOpenSci,
see <https://github.com/ropensci/software-review/issues/521>),
Tan Tran [rev] for rOpenSci, see
<https://github.com/ropensci/software-review/issues/521>)
Maintainer: Michael Mahoney <mike.mahoney.218@gmail.com>
Diff between unifir versions 0.2.1 dated 2022-05-13 and 0.2.2 dated 2022-08-11
DESCRIPTION | 8 MD5 | 21 - NEWS.md | 7 R/action.R | 88 ++++--- build/vignette.rds |binary inst/doc/unifir-asset-guide.html | 307 +++++++++++++++++++++++-- inst/doc/unifir-dev-guide.html | 470 ++++++++++++++++++++++++++++++++++----- inst/doc/unifir-user-guide.html | 419 +++++++++++++++++++++++++++++++--- man/add_asset.Rd | 24 - man/add_light.Rd | 24 - man/set_script_defaults.Rd |only man/unifir-package.Rd | 4 12 files changed, 1167 insertions(+), 205 deletions(-)
Title: Threshold and AUC Estimation with Right-Censored Data at a Fixed
Time t
Description: We focus on the estimation of optimal thresholds and AUCs when the outcome of interest is the status (alive or dead) of the subjects at a certain time-point t. This binary status is determined by right-censored times to event and it is missing for those subjects censored before t. Here we provide three methods (missing exclusion, imputation of censored times and using time-dependent ROC curves) to estimate optimal thresholds and AUCs in this context. Two references for the methods used here are Skaltsa et al. (2010) <doi:10.1002/bimj.200900294> and Heagerty et al. (2000) <doi:10.1111/j.0006-341x.2000.00337.x>.
Author: Sara Perez-Jaume [aut, cre],
Josep L Carrasco [aut]
Maintainer: Sara Perez-Jaume <spjaume@gmail.com>
Diff between ThresholdROCsurvival versions 1.0.1 dated 2022-07-08 and 1.0.2 dated 2022-08-11
DESCRIPTION | 8 ++--- MD5 | 18 +++++------ R/AUC_ICT.R | 5 +-- R/th_ICT.R | 79 ++++++++++++++++++++++++++++++++++++++++++++++---- build/partial.rdb |binary man/AUC_ICT.Rd | 2 - man/AUC_ME.Rd | 2 - man/th_ICT.Rd | 32 ++++++++++++++++++-- man/th_ME.Rd | 4 +- man/th_survivalROC.Rd | 8 +++-- 10 files changed, 130 insertions(+), 28 deletions(-)
More information about ThresholdROCsurvival at CRAN
Permanent link
Title: Calculate Task Split Half Reliability Estimates
Description: Estimate the internal consistency of your tasks with a permutation based split-half reliability approach.
Unofficial release name: "I eat stickers all the time, dude!".
Author: Sam Parsons [aut, cre]
Maintainer: Sam Parsons <sam.parsons@radboudumc.nl>
Diff between splithalf versions 0.7.2 dated 2021-01-08 and 0.8.2 dated 2022-08-11
splithalf-0.7.2/splithalf/data/speedtestdata.csv |only splithalf-0.8.2/splithalf/DESCRIPTION | 19 splithalf-0.8.2/splithalf/MD5 | 47 + splithalf-0.8.2/splithalf/NAMESPACE | 6 splithalf-0.8.2/splithalf/NEWS.md | 35 + splithalf-0.8.2/splithalf/R/data.R | 12 splithalf-0.8.2/splithalf/R/plot_multiverse.R | 82 ++- splithalf-0.8.2/splithalf/R/splithalf.R | 195 ++++++-- splithalf-0.8.2/splithalf/R/splithalf_multiverse.R | 57 ++ splithalf-0.8.2/splithalf/R/testretest_multiverse.R | 190 ++++++-- splithalf-0.8.2/splithalf/R/threshold.R | 65 ++ splithalf-0.8.2/splithalf/R/zzz.R | 4 splithalf-0.8.2/splithalf/README.md | 237 +++++----- splithalf-0.8.2/splithalf/build |only splithalf-0.8.2/splithalf/data/speedtestdata.rda |only splithalf-0.8.2/splithalf/inst/CITATION | 6 splithalf-0.8.2/splithalf/inst/doc |only splithalf-0.8.2/splithalf/man/figures/README-multiverse_plot-1.png |binary splithalf-0.8.2/splithalf/man/figures/README-plotting_distribution-1.png |binary splithalf-0.8.2/splithalf/man/figures/README-speedtest-1.png |binary splithalf-0.8.2/splithalf/man/multiverse.plot.Rd | 125 ++++- splithalf-0.8.2/splithalf/man/speedtestdata.Rd | 12 splithalf-0.8.2/splithalf/man/splithalf.Rd | 88 +++ splithalf-0.8.2/splithalf/man/splithalf.multiverse.Rd | 54 ++ splithalf-0.8.2/splithalf/man/testretest.multiverse.Rd | 101 ++++ splithalf-0.8.2/splithalf/vignettes |only 26 files changed, 1051 insertions(+), 284 deletions(-)
Title: Spatial Coverage Sampling and Random Sampling from Compact
Geographical Strata
Description: Spatial coverage sampling and random sampling from compact
geographical strata created by k-means. See Walvoort et al. (2010)
<doi:10.1016/j.cageo.2010.04.005> for details.
Author: Dennis Walvoort [aut, cre, cph]
,
Dick Brus [aut, cph] ,
Jaap de Gruijter [aut, cph]
Maintainer: Dennis Walvoort <dennis.Walvoort@wur.nl>
Diff between spcosa versions 0.4-0 dated 2021-12-13 and 0.4-1 dated 2022-08-11
DESCRIPTION | 8 MD5 | 20 - R/method_stratify-SpatialPixels.R | 1 R/methods_spsample.R | 2 README.md | 8 build/partial.rdb |binary build/vignette.rds |binary inst/NEWS.Rd | 396 ++++++++++++++-------------- inst/doc/spcosa.html | 528 +++++++++++++++++++++++++++++++------- man/spcosa-package.Rd | 92 +++--- man/stratify-methods.Rd | 182 ++++++------- 11 files changed, 794 insertions(+), 443 deletions(-)
Title: Bayesian Probit Choice Modeling
Description: Bayes estimation of probit choice models, both in the cross-sectional and
panel setting. The package can analyze binary, multivariate, ordered, and
ranked choices, and places a special focus on modeling heterogeneity of
choice behavior among deciders. The main functionality includes model
fitting via Markov chain Monte Carlo methods, tools for convergence
diagnostic, choice data simulation, in-sample and out-of-sample choice
prediction, and model selection using information criteria and Bayes
factors. The latent class model extension facilitates preference-based
decider classification, where the number of latent classes can be inferred
via the Dirichlet process or a weight-based updating scheme. This allows for
flexible modeling of choice behavior without the need to impose structural
constraints. For a reference on the method see Oelschlaeger and Bauer (2021)
<https://trid.trb.org/view/1759753>.
Author: Lennart Oelschlaeger [aut, cre]
,
Dietmar Bauer [aut] ,
Sebastian Buescher [ctb],
Manuel Batram [ctb]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>
Diff between RprobitB versions 1.1.0 dated 2022-07-22 and 1.1.1 dated 2022-08-11
RprobitB-1.1.0/RprobitB/inst/doc/RprobitB.R |only RprobitB-1.1.0/RprobitB/vignettes/img/flowchart.png |only RprobitB-1.1.0/RprobitB/vignettes/img/mmltrace-1.png |only RprobitB-1.1.0/RprobitB/vignettes/img/waictrace-1.png |only RprobitB-1.1.0/RprobitB/vignettes/img/waictrace-2.png |only RprobitB-1.1.1/RprobitB/DESCRIPTION | 8 RprobitB-1.1.1/RprobitB/MD5 | 46 RprobitB-1.1.1/RprobitB/NEWS.md | 82 RprobitB-1.1.1/RprobitB/R/RcppExports.R | 56 RprobitB-1.1.1/RprobitB/R/model_selection.R | 1664 +++++----- RprobitB-1.1.1/RprobitB/R/plot.R | 2 RprobitB-1.1.1/RprobitB/build/vignette.rds |binary RprobitB-1.1.1/RprobitB/inst/doc/RprobitB.Rmd | 15 RprobitB-1.1.1/RprobitB/inst/doc/v01_model_definition.html | 4 RprobitB-1.1.1/RprobitB/inst/doc/v02_choice_data.html | 2 RprobitB-1.1.1/RprobitB/inst/doc/v03_model_fitting.html | 2 RprobitB-1.1.1/RprobitB/inst/doc/v04_modeling_heterogeneity.html | 2 RprobitB-1.1.1/RprobitB/inst/doc/v05_choice_prediction.html | 2 RprobitB-1.1.1/RprobitB/inst/doc/v06_model_selection.html | 2 RprobitB-1.1.1/RprobitB/man/WAIC.Rd | 18 RprobitB-1.1.1/RprobitB/man/plot_acf.Rd | 2 RprobitB-1.1.1/RprobitB/man/update_classes_wb.Rd | 36 RprobitB-1.1.1/RprobitB/man/update_reg.Rd | 12 RprobitB-1.1.1/RprobitB/src/class_update.cpp | 44 RprobitB-1.1.1/RprobitB/src/gibbs.cpp | 12 RprobitB-1.1.1/RprobitB/vignettes/RprobitB.Rmd | 15 RprobitB-1.1.1/RprobitB/vignettes/flowchart.png |only 27 files changed, 1007 insertions(+), 1019 deletions(-)
Title: Several Methods for Procedural Name Generation
Description: A small, dependency-free way to generate random names. Methods
provided include the adjective-surname approach of Docker containers
('<https://github.com/moby/moby/blob/master/pkg/namesgenerator/names-generator.go>'),
and combinations of common English or Spanish words.
Author: Michael Mahoney [aut, cre]
Maintainer: Michael Mahoney <mike.mahoney.218@gmail.com>
Diff between proceduralnames versions 0.2.1 dated 2021-10-12 and 0.2.2 dated 2022-08-11
DESCRIPTION | 10 +++++----- MD5 | 8 ++++---- NEWS.md | 3 +++ README.md | 8 ++++---- man/proceduralnames-package.Rd | 4 ++-- 5 files changed, 18 insertions(+), 15 deletions(-)
More information about proceduralnames at CRAN
Permanent link
Title: Hierarchical Model of Species Communities
Description: Hierarchical Modelling of Species Communities (HMSC) is
a model-based approach for analyzing community ecological data.
This package implements it in the Bayesian framework with Gibbs
Markov chain Monte Carlo (MCMC) sampling (Tikhonov et al. (2020)
<doi:10.1111/2041-210X.13345>).
Author: Gleb Tikhonov [aut],
Otso Ovaskainen [aut, cre] ,
Jari Oksanen [aut],
Melinda de Jonge [aut],
Oystein Opedal [aut],
Tad Dallas [aut]
Maintainer: Otso Ovaskainen <otso.ovaskainen@helsinki.fi>
Diff between Hmsc versions 3.0-11 dated 2021-02-24 and 3.0-13 dated 2022-08-11
DESCRIPTION | 16 - MD5 | 93 ++++----- NAMESPACE | 6 R/Hmsc.R | 35 ++- R/HmscRandomLevel.R | 43 ++-- R/alignPosterior.R | 23 +- R/biPlot.R | 40 ++- R/c.Hmsc.R |only R/computeDataParameters.R | 6 R/computeInitialParameters.R | 12 - R/computePredictedValues.R | 26 ++ R/computePredictedValuesParallel.R |only R/computeVariancePartitioning.R | 23 +- R/constructGradient.R | 65 +++++- R/convertToCodaObject.r | 7 R/poolMcmcChains.R | 6 R/predict.R | 250 ++++++++++++++++-------- R/predictLatentFactor.R | 89 ++++++-- R/prepareGradient.R | 21 +- R/print.Hmsc.R | 15 + R/sampleMcmc.R | 296 +++++++++++++++++++---------- README.md | 2 build/partial.rdb |binary build/vignette.rds |binary inst/NEWS.md | 92 +++++++++ inst/doc/vignette_1_univariate.pdf |binary inst/doc/vignette_2_multivariate_low.pdf |binary inst/doc/vignette_3_multivariate_high.pdf |binary inst/doc/vignette_4_spatial.pdf |binary inst/doc/vignette_5_performance.pdf |binary man/Hmsc-package.Rd | 2 man/HmscRandomLevel.Rd | 32 +-- man/biPlot.Rd | 15 + man/c.Hmsc.Rd |only man/computeInitialParameters.Rd | 2 man/computePredictedValues.Rd | 42 ++++ man/computeVariancePartitioning.Rd | 15 + man/constructGradient.Rd | 19 + man/predict.Hmsc.Rd | 23 +- man/predictLatentFactor.Rd | 6 man/sampleMcmc.Rd | 18 + tests/Examples/Hmsc-Ex.Rout.save | 42 +++- tests/testthat/test-setHmsc.R | 3 vignettes/load_libraries.R | 38 +-- vignettes/vignette_1_univariate.Rmd | 27 +- vignettes/vignette_2_multivariate_low.Rmd | 16 - vignettes/vignette_3_multivariate_high.Rmd | 1 vignettes/vignette_4_spatial.Rmd | 26 +- vignettes/vignette_5_performance.Rmd | 13 - 49 files changed, 1081 insertions(+), 425 deletions(-)
Title: Helps You to Code Cleaner
Description: Check your R code for some of the most common
layout flaws. Many tried to teach us how to write code less dreadful,
be it implicitly as B. W. Kernighan and D. M. Ritchie (1988)
<ISBN:0-13-110362-8> in 'The C Programming Language' did, be it
explicitly as R.C. Martin (2008) <ISBN:0-13-235088-2> in 'Clean Code:
A Handbook of Agile Software Craftsmanship' did. So we should check
our code for files too long or wide, functions with too many lines,
too wide lines, too many arguments or too many levels of nesting.
Note: This is not a static code analyzer like pylint or the like.
Checkout <https://cran.r-project.org/package=lintr> instead.
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>
Diff between cleanr versions 1.3.4 dated 2021-11-14 and 1.3.5 dated 2022-08-11
DESCRIPTION | 8 ++--- MD5 | 22 ++++++++-------- NEWS.md | 4 ++ R/cleanr-package.R | 3 -- R/internals.R | 2 - build/cleanr.pdf |binary build/vignette.rds |binary demo/cleanr.R | 1 inst/NEWS.rd | 6 ++++ inst/doc/cleanr_Introduction.html | 52 +++++++++++++++++++------------------- man/cleanr-package.Rd | 3 -- man/get_function_body.Rd | 2 - 12 files changed, 55 insertions(+), 48 deletions(-)
Title: Landscape Visualizations in R and 'Unity'
Description: Functions for the retrieval, manipulation, and visualization
of 'geospatial' data, with an aim towards producing '3D' landscape
visualizations in the 'Unity' '3D' rendering engine. Functions are
also provided for retrieving elevation data and base map tiles from
the 'USGS' National Map <https://apps.nationalmap.gov/services/>.
Author: Michael Mahoney [aut, cre] ,
Mike Johnson [rev] for rOpenSci,
see <https://github.com/ropensci/software-review/issues/416>),
Sydney Foks [rev] for rOpenSci,
see <https://github.com/ropensci/software-review/issues/416>)
Maintainer: Michael Mahoney <mike.mahoney.218@gmail.com>
Diff between terrainr versions 0.7.0 dated 2022-05-05 and 0.7.1 dated 2022-08-11
DESCRIPTION | 15 - MD5 | 39 ++-- NEWS.md | 11 + R/add_bbox_buffer.R | 14 - R/combine_overlays.R | 25 -- R/geom_spatial_rgb.R | 24 +- R/georeference_overlay.R | 8 R/get_tiles.R | 30 ++- R/hit_api.R | 10 - R/make_manifest.R | 9 R/make_unity.R | 17 - R/merge_rasters.R | 22 -- R/vector_to_overlay.R | 11 - README.md | 26 +- build/vignette.rds |binary inst/doc/overview.html | 320 +++++++++++++++++++++++++++++++--- inst/doc/unity_instructions.html | 258 ++++++++++++++++++++++++++- man/geom_spatial_rgb.Rd | 6 man/terrainr-package.Rd | 4 tests/testthat/_snaps |only tests/testthat/test-add_bbox_buffer.R | 9 21 files changed, 692 insertions(+), 166 deletions(-)
Title: 'ggplot2' Based Plots with Statistical Details
Description: Extension of 'ggplot2', 'ggstatsplot' creates graphics with
details from statistical tests included in the plots themselves. It
provides an easier syntax to generate information-rich plots for
statistical analysis of continuous (violin plots, scatterplots,
histograms, dot plots, dot-and-whisker plots) or categorical (pie and
bar charts) data. Currently, it supports the most common types of
statistical approaches and tests: parametric, nonparametric, robust,
and Bayesian versions of t-test/ANOVA, correlation analyses,
contingency table analysis, meta-analysis, and regression analyses.
Author: Indrajeet Patil [cre, aut, cph]
,
Chuck Powell [ctb]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>
Diff between ggstatsplot versions 0.9.3 dated 2022-05-27 and 0.9.4 dated 2022-08-11
ggstatsplot-0.9.3/ggstatsplot/man/grouped_list.Rd |only ggstatsplot-0.9.4/ggstatsplot/DESCRIPTION | 42 +- ggstatsplot-0.9.4/ggstatsplot/MD5 | 171 +++++----- ggstatsplot-0.9.4/ggstatsplot/NEWS.md | 20 - ggstatsplot-0.9.4/ggstatsplot/R/extract_stats.R | 8 ggstatsplot-0.9.4/ggstatsplot/R/ggbarstats.R | 27 - ggstatsplot-0.9.4/ggstatsplot/R/ggbetweenstats.R | 34 - ggstatsplot-0.9.4/ggstatsplot/R/ggbetweenstats_helpers.R | 126 +++---- ggstatsplot-0.9.4/ggstatsplot/R/ggcoefstats.R | 34 - ggstatsplot-0.9.4/ggstatsplot/R/ggcorrmat.R | 37 -- ggstatsplot-0.9.4/ggstatsplot/R/ggdotplotstats.R | 14 ggstatsplot-0.9.4/ggstatsplot/R/gghistostats.R | 12 ggstatsplot-0.9.4/ggstatsplot/R/gghistostats_helpers.R | 22 - ggstatsplot-0.9.4/ggstatsplot/R/ggpiestats.R | 25 - ggstatsplot-0.9.4/ggstatsplot/R/ggpiestats_ggbarstats_helpers.R | 30 - ggstatsplot-0.9.4/ggstatsplot/R/ggscatterstats.R | 13 ggstatsplot-0.9.4/ggstatsplot/R/ggwithinstats.R | 24 - ggstatsplot-0.9.4/ggstatsplot/R/utils.R | 19 - ggstatsplot-0.9.4/ggstatsplot/README.md | 118 +++--- ggstatsplot-0.9.4/ggstatsplot/build/vignette.rds |binary ggstatsplot-0.9.4/ggstatsplot/inst/WORDLIST | 18 - ggstatsplot-0.9.4/ggstatsplot/inst/doc/additional.R | 2 ggstatsplot-0.9.4/ggstatsplot/inst/doc/additional.Rmd | 12 ggstatsplot-0.9.4/ggstatsplot/inst/doc/additional.html | 24 - ggstatsplot-0.9.4/ggstatsplot/inst/doc/ggstatsplot.R | 8 ggstatsplot-0.9.4/ggstatsplot/inst/doc/ggstatsplot.Rmd | 37 +- ggstatsplot-0.9.4/ggstatsplot/inst/doc/ggstatsplot.html | 159 ++++----- ggstatsplot-0.9.4/ggstatsplot/man/dot-grouped_list.Rd |only ggstatsplot-0.9.4/ggstatsplot/man/extract_stats.Rd | 5 ggstatsplot-0.9.4/ggstatsplot/man/figures/README-ggbarstats1-1.png |binary ggstatsplot-0.9.4/ggstatsplot/man/figures/README-ggbarstats2-1.png |binary ggstatsplot-0.9.4/ggstatsplot/man/figures/README-ggdotplotstats2-1.png |binary ggstatsplot-0.9.4/ggstatsplot/man/figures/README-gghistostats1-1.png |binary ggstatsplot-0.9.4/ggstatsplot/man/figures/README-ggpiestats1-1.png |binary ggstatsplot-0.9.4/ggstatsplot/man/ggbetweenstats.Rd | 4 ggstatsplot-0.9.4/ggstatsplot/man/ggcoefstats.Rd | 14 ggstatsplot-0.9.4/ggstatsplot/man/ggcorrmat.Rd | 6 ggstatsplot-0.9.4/ggstatsplot/man/ggscatterstats.Rd | 2 ggstatsplot-0.9.4/ggstatsplot/man/ggstatsplot-package.Rd | 5 ggstatsplot-0.9.4/ggstatsplot/man/grouped_ggbarstats.Rd | 2 ggstatsplot-0.9.4/ggstatsplot/man/grouped_ggcorrmat.Rd | 4 ggstatsplot-0.9.4/ggstatsplot/man/reexports.Rd | 4 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/_snaps/ggbarstats/checking-unpaired-two-way-table-with-na.svg | 6 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/_snaps/ggbarstats/checking-unpaired-two-way-table-without-na.svg | 6 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/_snaps/ggbarstats/label-repelling-works.svg | 6 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/_snaps/ggcoefstats.md | 2 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/_snaps/ggcoefstats/works-when-nas-present-in-numeric-columns.svg |only ggstatsplot-0.9.4/ggstatsplot/tests/testthat/_snaps/ggcorrmat.md | 2 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/_snaps/ggdotplotstats/parametric-without-na.svg | 10 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/_snaps/gghistostats/parametric-without-na.svg | 6 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/_snaps/ggpiestats/checking-unpaired-two-way-table-with-na.svg | 6 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/_snaps/ggpiestats/checking-unpaired-two-way-table-without-na.svg | 6 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/_snaps/ggwithinstats/defaults-plots-two-groups.svg | 8 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/_snaps/grouped_ggbarstats.md | 2 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/_snaps/grouped_ggbarstats/grouped-ggbarstats-with-two-way-table.svg | 6 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/_snaps/grouped_ggbetweenstats/default-plot-as-expected.svg | 12 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/_snaps/grouped_ggcorrmat.md | 3 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/_snaps/grouped_gghistostats/defaults-as-expected.svg | 38 +- ggstatsplot-0.9.4/ggstatsplot/tests/testthat/_snaps/grouped_ggpiestats.md | 2 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/_snaps/grouped_ggpiestats/grouped-ggpiestats-with-two-way-table.svg | 6 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/_snaps/grouped_ggscatterstats.md | 2 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/_snaps/grouped_ggwithinstats.md | 2 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/_snaps/helpers.md | 36 -- ggstatsplot-0.9.4/ggstatsplot/tests/testthat/test-edge_case_null.R | 2 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/test-ggcoefstats.R | 18 - ggstatsplot-0.9.4/ggstatsplot/tests/testthat/test-ggcorrmat.R | 4 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/test-ggpiestats.R | 1 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/test-grouped_ggbarstats.R | 3 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/test-grouped_ggbetweenstats.R | 2 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/test-grouped_ggcorrmat.R | 6 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/test-grouped_ggpiestats.R | 2 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/test-grouped_ggscatterstats.R | 1 ggstatsplot-0.9.4/ggstatsplot/tests/testthat/test-helpers.R | 37 +- ggstatsplot-0.9.4/ggstatsplot/vignettes/additional.Rmd | 12 ggstatsplot-0.9.4/ggstatsplot/vignettes/ggstatsplot.Rmd | 37 +- ggstatsplot-0.9.4/ggstatsplot/vignettes/web_only/faq.Rmd | 91 +++-- ggstatsplot-0.9.4/ggstatsplot/vignettes/web_only/ggbarstats.Rmd | 68 ++- ggstatsplot-0.9.4/ggstatsplot/vignettes/web_only/ggbetweenstats.Rmd | 41 +- ggstatsplot-0.9.4/ggstatsplot/vignettes/web_only/ggcoefstats.Rmd | 104 ++++-- ggstatsplot-0.9.4/ggstatsplot/vignettes/web_only/ggcorrmat.Rmd | 59 ++- ggstatsplot-0.9.4/ggstatsplot/vignettes/web_only/ggdotplotstats.Rmd | 25 + ggstatsplot-0.9.4/ggstatsplot/vignettes/web_only/gghistostats.Rmd | 25 + ggstatsplot-0.9.4/ggstatsplot/vignettes/web_only/ggpiestats.Rmd | 77 ++-- ggstatsplot-0.9.4/ggstatsplot/vignettes/web_only/ggscatterstats.Rmd | 29 - ggstatsplot-0.9.4/ggstatsplot/vignettes/web_only/ggwithinstats.Rmd | 41 +- ggstatsplot-0.9.4/ggstatsplot/vignettes/web_only/pairwise.Rmd | 32 - ggstatsplot-0.9.4/ggstatsplot/vignettes/web_only/principles.Rmd | 67 +++ ggstatsplot-0.9.4/ggstatsplot/vignettes/web_only/purrr_examples.Rmd | 32 - 88 files changed, 1144 insertions(+), 921 deletions(-)
Title: Fit, Simulate and Diagnose Exponential-Family Models for
Multiple or Multilayer Networks
Description: A set of extensions for the 'ergm' package to fit multilayer/multiplex/multirelational networks and samples of multiple networks. 'ergm.multi' is a part of the Statnet suite of packages for network analysis. See Krivitsky, Koehly, and Marcum (2020) <doi:10.1007/s11336-020-09720-7> and Krivitsky, Coletti, and Hens (2022) <doi:10.48550/arXiv.2202.03685>.
Author: Pavel N. Krivitsky [aut, cre] ,
Mark S. Handcock [ctb],
David R. Hunter [ctb],
Chad Klumb [ctb],
Pietro Coletti [ctb],
Joyce Cheng [ctb]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>
Diff between ergm.multi versions 0.1.0 dated 2022-07-03 and 0.1.1 dated 2022-08-11
DESCRIPTION | 10 +- MD5 | 39 +++++----- R/InitErgmTerm.multilayer.R | 66 ++++++++--------- R/InitWtErgmTerm.multinet.R | 7 - R/zzz.R | 5 - build/ergm.multi.pdf |binary build/partial.rdb |binary inst/CITATION | 4 - inst/NEWS.Rd | 36 +++++++++ inst/doc/Goeyvaerts_reproduction.Rmd | 2 inst/doc/Goeyvaerts_reproduction.html | 4 - inst/include/ergm.multi_changestat_multilayer.h | 90 +++++++++++------------- man/Layer.Rd | 20 ++++- man/N-ergmTerm.Rd | 8 +- man/ergm_LayerLogic.Rd | 8 +- man/gofN.Rd | 6 - man/network_view.Rd | 2 src/changestats_multilayer.c | 54 ++++++++++---- tests/testthat/test-multinet.R | 6 - vignettes/Goeyvaerts_reproduction.Rmd | 2 vignettes/tribes.html |only 21 files changed, 215 insertions(+), 154 deletions(-)
Title: Epigenome-Wide Mediation Analysis Study
Description: DNA methylation is essential for human, and environment can change the DNA methylation
and affect body status. Epigenome-Wide Mediation Analysis Study (EMAS) can find
potential mediator CpG sites between exposure (x) and outcome (y) in epigenome-wide.
For more information on the methods we used, please see the following references:
Tingley, D. (2014) <doi:10.18637/jss.v059.i05>,
Turner, S. D. (2018) <doi:10.21105/joss.00731>,
Rosseel, D. (2012) <doi:10.18637/jss.v048.i02>.
Author: Xiuquan Nie [aut, cph, cre],
Mengyi Wang [ctb, rev],
Weihong Chen [fnd]
Maintainer: Xiuquan Nie <niexiuquan1995@foxmail.com>
Diff between EMAS versions 0.2.1 dated 2022-06-18 and 0.2.2 dated 2022-08-11
DESCRIPTION | 12 ++++++------ MD5 | 22 +++++++++++----------- NAMESPACE | 2 ++ R/EMAS.manhattan.R | 2 ++ R/Emas.R | 4 +++- R/Emas.parallel.R | 10 ++++------ R/Mvalue.R | 2 +- R/open.R | 2 +- build/partial.rdb |binary data/Mvalue.rda |binary man/Emas.parallel.Rd | 3 +-- man/Mvalue.Rd | 2 +- 12 files changed, 32 insertions(+), 29 deletions(-)
Title: Cochran-Mantel-Haenszel and Nonparametric ANOVA
Description: Cochran-Mantel-Haenszel methods (Cochran (1954) <doi:10.2307/3001616>; Mantel and Haenszel (1959) <doi:10.1093/jnci/22.4.719>; Landis et al. (1978) <doi:10.2307/1402373>) are a suite of tests applicable to categorical data. A competitor to those tests is the procedure of Nonparametric ANOVA which was initially introduced in Rayner and Best (2013) <doi:10.1111/anzs.12041>. The methodology was then extended in Rayner et al. (2015) <doi:10.1111/anzs.12113>. This package employs functions related to both methodologies and serves as an accompaniment to the book: An Introduction to Cochran–Mantel–Haenszel and Non-Parametric ANOVA. The package also contains the data sets used in that text.
Author: G. C. Livingston Jr [aut, cre, cph],
J.C.W. Rayner [aut]
Maintainer: G. C. Livingston Jr <Glen.LivingstonJr@newcastle.edu.au>
Diff between CMHNPA versions 0.1.0 dated 2022-08-09 and 0.1.1 dated 2022-08-11
DESCRIPTION | 6 +++--- MD5 | 4 ++-- R/func_friedman.R | 8 ++++++-- 3 files changed, 11 insertions(+), 7 deletions(-)
Title: Multivariate Bayesian Model with Shrinkage Priors
Description: Gibbs sampler for fitting multivariate Bayesian linear regression with shrinkage priors (MBSP), using the three parameter beta normal family. The method is described in Bai and Ghosh (2018) <doi:10.1016/j.jmva.2018.04.010>.
Author: Ray Bai, Malay Ghosh
Maintainer: Ray Bai <raybaistat@gmail.com>
Diff between MBSP versions 2.0 dated 2022-05-24 and 3.0 dated 2022-08-11
DESCRIPTION | 8 +- MD5 | 6 - R/MBSP.R | 217 +++++++++++++++++++++++++++++++++++++++++++++++------------- man/MBSP.Rd | 47 ++++++++---- 4 files changed, 211 insertions(+), 67 deletions(-)
Title: The Skew-Normal and Related Distributions Such as the Skew-t and
the SUN
Description: Build and manipulate probability distributions of the skew-normal
family and some related ones, notably the skew-t and the SUN families.
For the skew-normal and the skew-t distributions, statistical methods are
provided for data fitting and model diagnostics, in the univariate and the
multivariate case.
Author: Adelchi Azzalini [aut, cre]
Maintainer: Adelchi Azzalini <adelchi.azzalini@unipd.it>
Diff between sn versions 2.0.2 dated 2022-03-08 and 2.1.0 dated 2022-08-11
sn-2.0.2/sn/NEWS |only sn-2.1.0/sn/DESCRIPTION | 8 sn-2.1.0/sn/MD5 | 44 +-- sn-2.1.0/sn/NAMESPACE | 74 +++-- sn-2.1.0/sn/R/sn-funct.R | 437 +++++++++++++++++++++++++----- sn-2.1.0/sn/R/sn_S4.R | 4 sn-2.1.0/sn/R/zzz.R | 5 sn-2.1.0/sn/build/partial.rdb |binary sn-2.1.0/sn/build/vignette.rds |binary sn-2.1.0/sn/data/ais.rda |binary sn-2.1.0/sn/data/barolo.rda |binary sn-2.1.0/sn/data/frontier.rda |binary sn-2.1.0/sn/data/wines.rda |binary sn-2.1.0/sn/inst/NEWS.Rd |only sn-2.1.0/sn/man/SUNdistr-class.Rd | 4 sn-2.1.0/sn/man/fitdistr.grouped-class.Rd |only sn-2.1.0/sn/man/fitdistr.grouped.Rd |only sn-2.1.0/sn/man/fournum.Rd | 25 - sn-2.1.0/sn/man/galton_moors2alpha_nu.Rd | 26 + sn-2.1.0/sn/man/overview-sn.Rd | 27 + sn-2.1.0/sn/man/plot.fitdistr.grouped.Rd |only sn-2.1.0/sn/man/plot.selm.Rd | 3 sn-2.1.0/sn/man/selm.Rd | 16 - sn-2.1.0/sn/man/selm.fit.Rd | 15 - sn-2.1.0/sn/man/spread.grouped.Rd |only sn-2.1.0/sn/man/st.prelimFit.Rd | 14 26 files changed, 515 insertions(+), 187 deletions(-)
Title: Simulation and Prediction with Seasonal ARIMA Models
Description: Functions, classes and methods for time series modelling with ARIMA
and related models. The aim of the package is to provide consistent
interface for the user. For example, a single function autocorrelations()
computes various kinds of theoretical and sample autocorrelations. This is
work in progress, see the documentation and vignettes for the current
functionality. Function sarima() fits extended multiplicative seasonal
ARIMA models with trends, exogenous variables and arbitrary roots on the
unit circle, which can be fixed or estimated (for the algebraic basis for
this see <arXiv:2208.05055>, a paper on the methodology is being prepared).
The suggested package 'FitARMA' can be installed with
'remotes::install_github("cran/FitARMA")' if necessary but is no longer
needed in normal use.
Author: Georgi N. Boshnakov [aut, cre],
Jamie Halliday [aut]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>
Diff between sarima versions 0.9 dated 2022-02-24 and 0.9.1 dated 2022-08-11
DESCRIPTION | 16 +++++++++------ MD5 | 40 +++++++++++++++++++------------------- NEWS.md | 17 ++++++++++++++++ R/filterClasses.R | 8 +++++-- R/sarima.R | 20 ++++++++++--------- R/zzz.R | 18 ++++++++++------- README.md | 2 + build/partial.rdb |binary inst/REFERENCES.bib | 13 ++++++++++++ inst/auto/REFERENCES.el | 1 inst/doc/garch_tests_example.R | 2 - inst/doc/garch_tests_example.Rnw | 2 - inst/doc/garch_tests_example.pdf |binary inst/doc/white_noise_tests.pdf |binary man/nvcovOfAcf.Rd | 2 - man/prepareSimSarima.Rd | 22 +++++++++++--------- man/sarima-package.Rd | 2 + man/sarima.Rd | 6 ++--- man/sim_sarima.Rd | 39 +++++++++++++++++++++---------------- man/whiteNoiseTest.Rd | 2 - vignettes/garch_tests_example.Rnw | 2 - 21 files changed, 136 insertions(+), 78 deletions(-)
Title: Computerized Adaptive Testing with Multidimensional Item
Response Theory
Description: Provides tools to generate an HTML interface for creating adaptive
and non-adaptive educational and psychological tests using the shiny
package (Chalmers (2016) <doi:10.18637/jss.v071.i05>).
Suitable for applying unidimensional and multidimensional
computerized adaptive tests (CAT) using item response theory methodology and for
creating simple questionnaires forms to collect response data directly in R.
Additionally, optimal test designs (e.g., "shadow testing") are supported
for tests which contain a large number of item selection constraints.
Finally, package contains tools useful for performing Monte Carlo simulations
for studying the behavior of computerized adaptive test banks.
Author: Phil Chalmers [aut, cre] ,
Magnus Nordmo [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>
Diff between mirtCAT versions 1.12 dated 2021-12-08 and 1.12.2 dated 2022-08-11
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- R/DesignClass.R | 4 ++-- R/server.R | 3 ++- R/zzz-methods.R | 4 ++-- build/partial.rdb |binary build/vignette.rds |binary tests/GUI-tests/GUI-tests.R | 2 +- 8 files changed, 18 insertions(+), 17 deletions(-)
Title: Extract and Visualize Motif Information from MEME Software
Description: Extract and visualize motif information from XML file from MEME software.
In biology, a motif is a nucleotide or amino acid sequence pattern that is widespread
and usually assumed to be related to specifical biological functions.
There exist many software was used to discover motif sequences from a set of nucleotide
or amino acid sequences. MEME is almost the most used software to detect motif.
It's difficult for biologists to extract and visualize the location of a motif
on sequences from the results from MEME software.
Author: Xiang LI
Maintainer: Xiang LI <lixiang117423@foxmail.com>
Diff between ggmotif versions 0.2.0 dated 2022-08-08 and 0.2.1 dated 2022-08-11
DESCRIPTION | 8 +- MD5 | 16 ++--- NAMESPACE | 2 R/getMotifFromMEME.R | 1 R/motifLocation.R | 22 +++---- inst/doc/ggmotif.R | 20 ++++++- inst/doc/ggmotif.Rmd | 27 +++++++-- inst/doc/ggmotif.html | 138 ++++++++++++++++++++++++++++---------------------- vignettes/ggmotif.Rmd | 27 +++++++-- 9 files changed, 163 insertions(+), 98 deletions(-)
Title: Machine Learning in R - Next Generation
Description: Efficient, object-oriented programming on the
building blocks of machine learning. Provides 'R6' objects for tasks,
learners, resamplings, and measures. The package is geared towards
scalability and larger datasets by supporting parallelization and
out-of-memory data-backends like databases. While 'mlr3' focuses on
the core computational operations, add-on packages provide additional
functionality.
Author: Michel Lang [cre, aut] ,
Bernd Bischl [aut] ,
Jakob Richter [aut] ,
Patrick Schratz [aut] ,
Giuseppe Casalicchio [ctb] ,
Stefan Coors [ctb] ,
Quay Au [ctb] ,
Martin Binder [aut],
Marc Becker [ctb]
Maintainer: Michel Lang <michellang@gmail.com>
Diff between mlr3 versions 0.13.4 dated 2022-07-21 and 0.14.0 dated 2022-08-11
DESCRIPTION | 24 +- MD5 | 262 +++++++++++------------ NAMESPACE | 10 NEWS.md | 10 R/Learner.R | 10 R/LearnerClassifRpart.R | 9 R/LearnerRegrRpart.R | 9 R/MeasureClassifCosts.R | 29 -- R/MeasureSimple.R | 16 + R/PredictionData.R | 10 R/PredictionDataClassif.R | 13 - R/PredictionDataRegr.R | 8 R/TaskUnsupervised.R | 16 + R/as_prediction.R | 8 R/as_prediction_data.R | 11 R/as_task_unsupervised.R |only R/assertions.R | 35 ++- R/benchmark.R | 10 R/helper_exec.R | 2 R/mlr_reflections.R | 16 - R/set_threads.R | 10 R/worker.R | 6 inst/testthat/helper_expectations.R | 5 man/BenchmarkResult.Rd | 2 man/DataBackend.Rd | 2 man/DataBackendDataTable.Rd | 2 man/DataBackendMatrix.Rd | 2 man/Learner.Rd | 6 man/LearnerClassif.Rd | 2 man/LearnerRegr.Rd | 2 man/Measure.Rd | 2 man/MeasureClassif.Rd | 2 man/MeasureRegr.Rd | 2 man/MeasureSimilarity.Rd | 2 man/Prediction.Rd | 2 man/PredictionClassif.Rd | 2 man/PredictionData.Rd | 19 - man/PredictionRegr.Rd | 2 man/ResampleResult.Rd | 2 man/Resampling.Rd | 2 man/Task.Rd | 2 man/TaskClassif.Rd | 2 man/TaskRegr.Rd | 2 man/TaskSupervised.Rd | 2 man/TaskUnsupervised.Rd | 45 +++ man/as_data_backend.Rd | 2 man/as_prediction.Rd | 8 man/as_prediction_data.Rd | 12 - man/as_task_unsupervised.Rd |only man/benchmark.Rd | 2 man/benchmark_grid.Rd | 2 man/mlr_learners_classif.debug.Rd | 23 +- man/mlr_learners_classif.featureless.Rd | 8 man/mlr_learners_classif.rpart.Rd | 17 + man/mlr_learners_regr.debug.Rd | 12 - man/mlr_learners_regr.featureless.Rd | 8 man/mlr_learners_regr.rpart.Rd | 17 + man/mlr_measures_aic.Rd | 8 man/mlr_measures_bic.Rd | 2 man/mlr_measures_classif.acc.Rd | 8 man/mlr_measures_classif.auc.Rd | 4 man/mlr_measures_classif.bacc.Rd | 8 man/mlr_measures_classif.bbrier.Rd | 4 man/mlr_measures_classif.ce.Rd | 8 man/mlr_measures_classif.costs.Rd | 18 + man/mlr_measures_classif.dor.Rd | 4 man/mlr_measures_classif.fbeta.Rd | 10 man/mlr_measures_classif.fdr.Rd | 4 man/mlr_measures_classif.fn.Rd | 4 man/mlr_measures_classif.fnr.Rd | 4 man/mlr_measures_classif.fomr.Rd | 4 man/mlr_measures_classif.fp.Rd | 4 man/mlr_measures_classif.fpr.Rd | 4 man/mlr_measures_classif.logloss.Rd | 8 man/mlr_measures_classif.mauc_au1p.Rd |only man/mlr_measures_classif.mauc_au1u.Rd |only man/mlr_measures_classif.mauc_aunp.Rd |only man/mlr_measures_classif.mauc_aunu.Rd |only man/mlr_measures_classif.mbrier.Rd | 10 man/mlr_measures_classif.mcc.Rd | 4 man/mlr_measures_classif.npv.Rd | 4 man/mlr_measures_classif.ppv.Rd | 4 man/mlr_measures_classif.prauc.Rd | 4 man/mlr_measures_classif.precision.Rd | 4 man/mlr_measures_classif.recall.Rd | 4 man/mlr_measures_classif.sensitivity.Rd | 4 man/mlr_measures_classif.specificity.Rd | 4 man/mlr_measures_classif.tn.Rd | 4 man/mlr_measures_classif.tnr.Rd | 4 man/mlr_measures_classif.tp.Rd | 4 man/mlr_measures_classif.tpr.Rd | 4 man/mlr_measures_debug.Rd | 8 man/mlr_measures_elapsed_time.Rd | 2 man/mlr_measures_oob_error.Rd | 2 man/mlr_measures_selected_features.Rd | 8 man/mlr_resamplings_bootstrap.Rd | 2 man/mlr_resamplings_custom.Rd | 2 man/mlr_resamplings_custom_cv.Rd | 2 man/mlr_resamplings_cv.Rd | 2 man/mlr_resamplings_holdout.Rd | 2 man/mlr_resamplings_insample.Rd | 2 man/mlr_resamplings_loo.Rd | 2 man/mlr_resamplings_repeated_cv.Rd | 2 man/mlr_resamplings_subsampling.Rd | 2 man/mlr_task_generators_2dnormals.Rd | 8 man/mlr_task_generators_cassini.Rd | 8 man/mlr_task_generators_circle.Rd | 6 man/mlr_task_generators_friedman1.Rd | 6 man/mlr_task_generators_moons.Rd | 6 man/mlr_task_generators_simplex.Rd | 9 man/mlr_task_generators_smiley.Rd | 7 man/mlr_task_generators_spirals.Rd | 7 man/mlr_task_generators_xor.Rd | 6 man/mlr_tasks_boston_housing.Rd | 2 man/mlr_tasks_breast_cancer.Rd | 2 man/mlr_tasks_german_credit.Rd | 2 man/mlr_tasks_iris.Rd | 2 man/mlr_tasks_mtcars.Rd | 2 man/mlr_tasks_penguins.Rd | 2 man/mlr_tasks_pima.Rd | 2 man/mlr_tasks_sonar.Rd | 2 man/mlr_tasks_spam.Rd | 2 man/mlr_tasks_wine.Rd | 2 man/mlr_tasks_zoo.Rd | 2 man/resample.Rd | 2 man/set_threads.Rd | 11 tests/testthat/test_PredictionClassif.R | 2 tests/testthat/test_PredictionRegr.R | 2 tests/testthat/test_TaskUnsupervised.R |only tests/testthat/test_benchmark.R | 26 ++ tests/testthat/test_convert_task.R | 3 tests/testthat/test_mlr_learners_classif_debug.R | 14 + tests/testthat/test_mlr_learners_classif_rpart.R | 13 + tests/testthat/test_mlr_learners_regr_rpart.R | 13 + tests/testthat/test_mlr_measures_classif.costs.R | 2 tests/testthat/test_mlr_reflections.R |only 136 files changed, 790 insertions(+), 333 deletions(-)
Title: Reproducible and Flexible Label Design
Description: An open-source R package to deploys reproducible and flexible labels using layers.
The 'huito' package is part of the 'inkaverse' project for developing different procedures and
tools used in plant science and experimental designs.
Learn more about the 'inkaverse' project at <https://inkaverse.com/>.
Author: Flavio Lozano-Isla [aut, cre] ,
Inkaverse [cph]
Maintainer: Flavio Lozano-Isla <flavjack@gmail.com>
Diff between huito versions 0.2.0 dated 2022-06-24 and 0.2.1 dated 2022-08-11
DESCRIPTION | 14 ++++++------- MD5 | 42 ++++++++++++++++++++--------------------- NEWS.md | 8 +++++++ README.md | 3 +- build/vignette.rds |binary inst/doc/germinar.Rmd | 14 +++++++++---- inst/doc/germinar.html | 16 +++++++++++---- inst/doc/huito.R | 24 +++++++++++++---------- inst/doc/huito.Rmd | 16 +++++++-------- inst/doc/huito.html | 14 ++++++------- inst/doc/labels.Rmd | 8 ++++--- inst/doc/labels.html | 28 +++++++++++++++------------ inst/doc/stickers.Rmd | 14 ++++++++++--- inst/doc/stickers.html | 21 +++++++++++++++----- man/figures/logo.png |binary vignettes/germinar.Rmd | 14 +++++++++---- vignettes/huito.Rmd | 16 +++++++-------- vignettes/huito.zip |binary vignettes/huito/_doc.Rmd | 18 +++++++++-------- vignettes/huito/huito-intro.md | 2 - vignettes/labels.Rmd | 8 ++++--- vignettes/stickers.Rmd | 14 ++++++++++--- 22 files changed, 182 insertions(+), 112 deletions(-)
Title: Rmetrics - Regression Based Decision and Prediction
Description: A collection of functions for linear and non-linear regression
modelling. It implements a wrapper for several regression models available
in the base and contributed packages of R.
Author: Diethelm Wuertz [aut],
Tobias Setz [aut],
Yohan Chalabi [aut],
Paul J. Northrop [cre, ctb]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>
Diff between fRegression versions 3042.82 dated 2017-11-15 and 4021.83 dated 2022-08-11
DESCRIPTION | 37 +-- MD5 | 20 - NEWS.md |only R/methods-plot.R | 2 R/regFit.R | 452 ++++++++++++++++++++-------------------- README.md |only man/RegressionTestsInterface.Rd | 6 man/methods-fitted.Rd | 1 man/methods-formula.Rd | 2 man/methods-plot.Rd | 6 man/regFit.Rd | 29 +- tests/doRUnit.R | 2 12 files changed, 284 insertions(+), 273 deletions(-)
Title: Binary Choice Models with Fixed Effects
Description: Estimates fixed effects binary choice models (logit and probit) with potentially many
individual fixed effects and computes average partial effects. Incidental parameter bias can be
reduced with an asymptotic bias correction proposed by Fernandez-Val (2009)
<doi:10.1016/j.jeconom.2009.02.007>.
Author: Amrei Stammann [aut, cre],
Daniel Czarnowske [aut] ,
Florian Heiss [aut],
Daniel McFadden [ctb]
Maintainer: Amrei Stammann <amrei.stammann@rub.de>
Diff between bife versions 0.7.1 dated 2020-10-30 and 0.7.2 dated 2022-08-11
bife-0.7.1/bife/NEWS |only bife-0.7.2/bife/DESCRIPTION | 10 bife-0.7.2/bife/MD5 | 28 - bife-0.7.2/bife/R/bias_corr.R | 42 +- bife-0.7.2/bife/R/bife.R | 77 +++- bife-0.7.2/bife/R/generics.R | 2 bife-0.7.2/bife/R/get_APEs.R | 90 ++--- bife-0.7.2/bife/build/vignette.rds |binary bife-0.7.2/bife/inst/NEWS.Rd |only bife-0.7.2/bife/inst/doc/howto.R | 62 ++- bife-0.7.2/bife/inst/doc/howto.Rmd | 64 ++-- bife-0.7.2/bife/inst/doc/howto.html | 569 ++++++++++++++++++++---------------- bife-0.7.2/bife/man/bias_corr.Rd | 2 bife-0.7.2/bife/man/get_APEs.Rd | 8 bife-0.7.2/bife/src/RcppExports.cpp | 5 bife-0.7.2/bife/vignettes/howto.Rmd | 64 ++-- 16 files changed, 588 insertions(+), 435 deletions(-)
Title: Acknowledge all Contributors to a Project
Description: Acknowledge all contributors to a project via a single
function call. The function appends to a 'README' or other specified
file(s) a table with names of all individuals who contributed via code
or repository issues. The package also includes several additional
functions to extract and quantify contributions to any repository.
Author: Mark Padgham [aut, cre]
Maintainer: Mark Padgham <mark.padgham@email.com>
Diff between allcontributors versions 0.0.2 dated 2020-12-02 and 0.1.0 dated 2022-08-11
allcontributors-0.0.2/allcontributors/inst/WORDLIST |only allcontributors-0.0.2/allcontributors/inst/precommit |only allcontributors-0.0.2/allcontributors/tests/testthat/geodist-hdrs.Rds |only allcontributors-0.0.2/allcontributors/tests/testthat/geodist.Rds |only allcontributors-0.1.0/allcontributors/DESCRIPTION | 31 allcontributors-0.1.0/allcontributors/MD5 | 42 - allcontributors-0.1.0/allcontributors/NEWS.md |only allcontributors-0.1.0/allcontributors/R/add-contributors.R | 372 ++++++---- allcontributors-0.1.0/allcontributors/R/github-contribs-issue.R | 91 +- allcontributors-0.1.0/allcontributors/R/github.R | 327 +++++--- allcontributors-0.1.0/allcontributors/R/urlcheck.R |only allcontributors-0.1.0/allcontributors/R/utils.R | 3 allcontributors-0.1.0/allcontributors/build/vignette.rds |binary allcontributors-0.1.0/allcontributors/inst/doc/allcontributors.html | 316 +++++--- allcontributors-0.1.0/allcontributors/man/add_contributors.Rd | 14 allcontributors-0.1.0/allcontributors/man/allcontributors-package.Rd | 7 allcontributors-0.1.0/allcontributors/man/get_contributors.Rd | 19 allcontributors-0.1.0/allcontributors/man/get_gh_code_contributors.Rd | 7 allcontributors-0.1.0/allcontributors/man/get_gh_contrib_issue.Rd | 7 allcontributors-0.1.0/allcontributors/man/get_gh_issue_people.Rd | 21 allcontributors-0.1.0/allcontributors/man/get_gh_issue_titles.Rd | 7 allcontributors-0.1.0/allcontributors/tests/fixtures |only allcontributors-0.1.0/allcontributors/tests/testthat.R | 6 allcontributors-0.1.0/allcontributors/tests/testthat/setup-allcontributors.R |only allcontributors-0.1.0/allcontributors/tests/testthat/test-add-contribs.R | 157 ++-- allcontributors-0.1.0/allcontributors/tests/testthat/test-get-contribs.R | 56 - 26 files changed, 909 insertions(+), 574 deletions(-)
More information about allcontributors at CRAN
Permanent link
Title: A Time Input Widget for Shiny
Description: Provides a time input widget for Shiny. This widget allows intuitive time input in the
'[hh]:[mm]:[ss]' or '[hh]:[mm]' (24H) format by using a separate numeric input for each time
component. The interface with R uses date-time objects. See the project page for more
information and examples.
Author: Gerhard Burger [aut, cre]
Maintainer: Gerhard Burger <burger.ga@gmail.com>
Diff between shinyTime versions 1.0.1 dated 2019-08-06 and 1.0.2 dated 2022-08-11
shinyTime-1.0.1/shinyTime/man/shinyTime.Rd |only shinyTime-1.0.2/shinyTime/DESCRIPTION | 9 +++--- shinyTime-1.0.2/shinyTime/MD5 | 20 +++++++-------- shinyTime-1.0.2/shinyTime/NEWS.md | 22 ++++++++-------- shinyTime-1.0.2/shinyTime/R/input-time.R | 19 ++++++-------- shinyTime-1.0.2/shinyTime/R/utils.R | 28 +++++++++++---------- shinyTime-1.0.2/shinyTime/README.md | 8 +++--- shinyTime-1.0.2/shinyTime/inst/WORDLIST | 2 + shinyTime-1.0.2/shinyTime/man/shinyTime-package.Rd |only shinyTime-1.0.2/shinyTime/man/shinyTimeExample.Rd | 5 ++- shinyTime-1.0.2/shinyTime/man/timeInput.Rd | 15 +++++++---- shinyTime-1.0.2/shinyTime/man/updateTimeInput.Rd | 7 +++-- 12 files changed, 71 insertions(+), 64 deletions(-)
Title: A Synchronized Tausworthe RNG for R and Python
Description: Generate the same random numbers in R and Python.
Author: Gertjan van den Burg <gertjanvandenburg@gmail.com>
Maintainer: Gertjan van den Burg <gertjanvandenburg@gmail.com>
Diff between SyncRNG versions 1.3.0 dated 2017-12-17 and 1.3.1 dated 2022-08-11
SyncRNG-1.3.0/SyncRNG/README.md |only SyncRNG-1.3.1/SyncRNG/DESCRIPTION | 12 +- SyncRNG-1.3.1/SyncRNG/MD5 | 11 +- SyncRNG-1.3.1/SyncRNG/NEWS.md | 4 SyncRNG-1.3.1/SyncRNG/man/SyncRNG-class.Rd | 7 - SyncRNG-1.3.1/SyncRNG/man/syncrng-package.Rd | 8 - SyncRNG-1.3.1/SyncRNG/src/syncrng.c | 129 +-------------------------- 7 files changed, 31 insertions(+), 140 deletions(-)
Title: Additional Layout Algorithms for Network Visualizations
Description: Several new layout algorithms to visualize networks are provided which are not part of 'igraph'.
Most are based on the concept of stress majorization by Gansner et al. (2004) <doi:10.1007/978-3-540-31843-9_25>.
Some more specific algorithms allow to emphasize hidden group structures in networks or focus on specific nodes.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david@schochastics.net>
Diff between graphlayouts versions 0.8.0 dated 2022-01-03 and 0.8.1 dated 2022-08-11
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NEWS.md | 4 ++++ R/layout_backbone.R | 15 +++++++++++++++ README.md | 2 ++ 5 files changed, 28 insertions(+), 7 deletions(-)
Title: Tidy Dataframes and Expressions with Statistical Details
Description: Utilities for producing dataframes with rich details for the
most common types of statistical approaches and tests: parametric,
nonparametric, robust, and Bayesian t-test, one-way ANOVA, correlation
analyses, contingency table analyses, and meta-analyses. The
functions are pipe-friendly and provide a consistent syntax to work
with tidy data. These dataframes additionally contain expressions with
statistical details, and can be used in graphing packages. This
package also forms the statistical processing backend for
'ggstatsplot'.
Author: Indrajeet Patil [cre, aut, cph]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>
Diff between statsExpressions versions 1.3.2 dated 2022-05-20 and 1.3.3 dated 2022-08-11
DESCRIPTION | 18 MD5 | 144 +-- NEWS.md | 8 R/add_expression_col.R | 27 R/centrality_description.R | 1 R/contingency_table.R | 414 ++++----- R/corr_test.R | 11 R/global_vars.R | 78 - R/helpers_easystats.R | 4 R/one_sample_test.R | 1 R/oneway_anova.R | 1 R/switch_functions.R | 204 ++-- R/tidy_model_expressions.R | 32 README.md | 54 - build/vignette.rds |binary inst/doc/statsExpressions.R | 12 inst/doc/statsExpressions.Rmd | 28 inst/doc/statsExpressions.html | 141 +-- inst/doc/stats_details.html | 856 ++++++++++---------- man/add_expression_col.Rd | 5 man/figures/README-anova_parametric2-1.png |binary man/figures/README-t_one-1.png |binary man/reexports.Rd | 2 man/rmd-fragments/contingency_table.Rmd | 40 man/rmd-fragments/corr_test.Rmd | 12 man/rmd-fragments/meta_analysis.Rmd | 10 man/rmd-fragments/one_sample_test.Rmd | 24 man/rmd-fragments/oneway_anova.Rmd | 48 - man/rmd-fragments/pairwise_comparisons.Rmd | 26 man/rmd-fragments/two_sample_test.Rmd | 48 - man/tidy_model_expressions.Rd | 12 tests/spelling.R | 12 tests/testthat.R | 9 tests/testthat/_snaps/centrality_description.md | 6 tests/testthat/_snaps/contingency_table.md | 29 tests/testthat/_snaps/corr_test.md | 64 - tests/testthat/_snaps/long_to_wide_converter.md | 242 ++--- tests/testthat/_snaps/meta_random_parametric.md | 10 tests/testthat/_snaps/meta_random_robust.md | 13 tests/testthat/_snaps/one_sample.md | 32 tests/testthat/_snaps/one_two_sample_dataframes.md | 16 tests/testthat/_snaps/oneway_anova_bayes.md | 16 tests/testthat/_snaps/oneway_anova_nonparametric.md | 44 - tests/testthat/_snaps/oneway_anova_parametric.md | 19 tests/testthat/_snaps/oneway_anova_robust.md | 6 tests/testthat/_snaps/pairwise_comparisons.md | 70 - tests/testthat/_snaps/tidy_model_expressions.md | 46 - tests/testthat/_snaps/two_sample_bayes.md | 8 tests/testthat/_snaps/two_sample_nonparametric.md | 4 tests/testthat/_snaps/two_sample_parametric.md | 16 tests/testthat/_snaps/two_sample_robust.md | 8 tests/testthat/_snaps/z_meta_random_bayes.md | 20 tests/testthat/test-centrality_description.R | 12 tests/testthat/test-contingency_table.R | 546 ++++++------ tests/testthat/test-corr_test.R | 286 +++--- tests/testthat/test-long_to_wide_converter.R | 10 tests/testthat/test-meta_random_parametric.R | 4 tests/testthat/test-meta_random_robust.R | 4 tests/testthat/test-one_sample.R | 21 tests/testthat/test-one_two_sample_dataframes.R | 4 tests/testthat/test-oneway_anova_bayes.R | 10 tests/testthat/test-oneway_anova_nonparametric.R | 15 tests/testthat/test-oneway_anova_parametric.R | 367 +++----- tests/testthat/test-oneway_anova_robust.R | 12 tests/testthat/test-pairwise_comparisons.R | 805 +++++++++--------- tests/testthat/test-tidy_model_expressions.R | 27 tests/testthat/test-two_sample_bayes.R | 8 tests/testthat/test-two_sample_nonparametric.R | 9 tests/testthat/test-two_sample_parametric.R | 14 tests/testthat/test-two_sample_robust.R | 17 tests/testthat/test-z_meta_random_bayes.R | 6 vignettes/statsExpressions.Rmd | 28 vignettes/web_only/dataframe_outputs.Rmd | 39 73 files changed, 2602 insertions(+), 2593 deletions(-)
More information about statsExpressions at CRAN
Permanent link
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-04-01 0.1.1
2022-03-30 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-03-29 0.2.5
2021-01-06 0.2.4
2020-11-10 0.2.3
2020-09-03 0.2.0
2019-05-20 0.1.7
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-07-04 1.4.1