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 0.7.3 dated 2022-08-11 and 0.7.5 dated 2022-11-26
DESCRIPTION | 8 +- MD5 | 42 +++++------ NEWS.md | 7 + R/bar_plot.R | 4 - R/distribution_plot.R | 4 - R/ez_png.R | 2 R/histogram_plot.R | 19 +++-- R/lift_plot.R | 6 - R/line_plot.R | 23 +++++- R/model_plot.R | 2 R/pr_plot.R | 6 - R/scatter_plot.R | 2 R/side_plot.R | 6 - R/theme_ez.R | 8 +- R/variable_plot.R | 2 README.md | 26 +++---- build/vignette.rds |binary inst/doc/basics.html | 128 ++++++++++++++++++----------------- inst/doc/overview.html | 126 ++++++++++++++++++---------------- man/figures/README-area_plot-3-1.png |binary man/histogram_plot.Rd | 4 - man/line_plot.Rd | 6 + 22 files changed, 237 insertions(+), 194 deletions(-)
Title: API Wrapper for GIE's AGSI+/ALSI+ Natural Gas Storage
Transparency Platform
Description: Functions to access the API for Gas Infrastructure Europe's (GIE) AGSI+/ALSI+ natural gas storage transparency platform (<https://agsi.gie.eu/> and <https://alsi.gie.eu/>). Lets the user easily download metadata on companies and gas storage units covered by the API as well as the respective data on regional, country, company or facility level.
Author: Yannik Buhl [aut, cre]
Maintainer: Yannik Buhl <ybuhl@posteo.de>
Diff between giedata versions 0.1.0 dated 2022-07-20 and 0.1.1 dated 2022-11-26
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- R/get_giedata.R | 2 +- R/utils.R | 17 +++++++++++++++-- tests/testthat/test-regular-errors.R | 4 ++++ 5 files changed, 28 insertions(+), 11 deletions(-)
Title: Summary Tables and Plots for Statistical Models and Data:
Beautiful, Customizable, and Publication-Ready
Description: Create beautiful and customizable tables to summarize several
statistical models side-by-side. Draw coefficient plots, multi-level
cross-tabs, dataset summaries, balance tables (a.k.a. "Table 1s"), and
correlation matrices. This package supports dozens of statistical models, and
it can produce tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint, Excel,
RTF, JPG, or PNG. Tables can easily be embedded in 'Rmarkdown' or 'knitr'
dynamic documents. Details can be found in Arel-Bundock (2022)
<doi:10.18637/jss.v103.i01>.
Author: Vincent Arel-Bundock [aut, cre]
,
Joachim Gassen [ctb] ,
Nathan Eastwood [ctb],
Nick Huntington-Klein [ctb] ,
Moritz Schwarz [ctb] ,
Benjamin Elbers [ctb] ,
Grant McDermott [ctb] ,
Lukas Wallrich [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>
Diff between modelsummary versions 1.1.0 dated 2022-10-19 and 1.2.0 dated 2022-11-26
DESCRIPTION | 12 MD5 | 56 NAMESPACE | 2 NEWS.md | 7 R/datasummary_skim.R | 4 R/escape.R | 2 R/get_estimates.R | 4 R/map_estimates.R | 7 R/modelsummary.R | 50 R/sanitize_models.R | 6 R/sanitize_output.R | 61 R/sanity_checks.R | 23 README.md | 12 build/modelsummary.pdf |binary man/get_estimates.Rd | 3 man/modelplot.Rd | 7 man/modelsummary.Rd | 22 man/msummary.Rd | 22 tests/testthat/_snaps/gt.md | 750 +++++----- tests/testthat/_snaps/modelplot/coef-map-color-shape-background.svg | 2 tests/testthat/_snaps/modelplot/model-order.svg | 6 tests/testthat/_snaps/modelplot/multiple-plots-vanilla.svg | 4 tests/testthat/test-coef_omit.R | 24 tests/testthat/test-coef_rename.R | 16 tests/testthat/test-corner-cases.R | 5 tests/testthat/test-datasummary_skim.R | 6 tests/testthat/test-escape.R | 4 tests/testthat/test-pkg-lme4.R | 10 tests/testthat/test-pkg-marginaleffects.R | 4 29 files changed, 642 insertions(+), 489 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 0.2.2 dated 2022-10-07 and 0.3.0 dated 2022-11-26
shapviz-0.2.2/shapviz/man/from_xgb_or_lgb.Rd |only shapviz-0.3.0/shapviz/DESCRIPTION | 6 shapviz-0.3.0/shapviz/MD5 | 40 ++-- shapviz-0.3.0/shapviz/NAMESPACE | 4 shapviz-0.3.0/shapviz/NEWS.md | 16 + shapviz-0.3.0/shapviz/R/collapse_shap.R |only shapviz-0.3.0/shapviz/R/shapviz.R | 127 +++------------ shapviz-0.3.0/shapviz/R/shapviz_methods.R | 67 -------- shapviz-0.3.0/shapviz/R/sv_force.R | 6 shapviz-0.3.0/shapviz/R/sv_waterfall.R | 12 - shapviz-0.3.0/shapviz/README.md | 12 - shapviz-0.3.0/shapviz/inst/doc/shapviz.R | 13 - shapviz-0.3.0/shapviz/inst/doc/shapviz.Rmd | 73 +++++--- shapviz-0.3.0/shapviz/inst/doc/shapviz.html | 148 +++++++++--------- shapviz-0.3.0/shapviz/man/collapse_shap.Rd | 27 --- shapviz-0.3.0/shapviz/man/dim.shapviz.Rd | 2 shapviz-0.3.0/shapviz/man/print.shapviz.Rd | 58 +++---- shapviz-0.3.0/shapviz/man/shapviz.Rd | 49 ++--- shapviz-0.3.0/shapviz/man/sv_force.Rd | 3 shapviz-0.3.0/shapviz/man/sv_waterfall.Rd | 6 shapviz-0.3.0/shapviz/tests/testthat/test-interface.R | 9 - shapviz-0.3.0/shapviz/vignettes/shapviz.Rmd | 73 +++++--- 22 files changed, 310 insertions(+), 441 deletions(-)
Title: Collective Matrix Factorization for Recommender Systems
Description: Collective matrix factorization (a.k.a. multi-view or multi-way factorization,
Singh, Gordon, (2008) <doi:10.1145/1401890.1401969>) tries to approximate a (potentially very sparse
or having many missing values) matrix 'X' as the product of two low-dimensional matrices,
optionally aided with secondary information matrices about rows and/or columns of 'X',
which are also factorized using the same latent components.
The intended usage is for recommender systems, dimensionality reduction, and missing value imputation.
Implements extensions of the original model (Cortes, (2018) <arXiv:1809.00366>) and can produce
different factorizations such as the weighted 'implicit-feedback' model (Hu, Koren, Volinsky,
(2008) <doi:10.1109/ICDM.2008.22>), the 'weighted-lambda-regularization' model,
(Zhou, Wilkinson, Schreiber, Pan, (2008) <doi:10.1007/978-3-540-68880-8_32>),
or the enhanced model with 'implicit features' (Rendle, Zhang,
Koren, (2019) <arXiv:1905.01395>), with [...truncated...]
Author: David Cortes [aut, cre, cph],
Jorge Nocedal [cph] ,
Naoaki Okazaki [cph] ,
David Blackman [cph] ,
Sebastiano Vigna [cph] ,
NumPy Developers [cph]
Maintainer: David Cortes <david.cortes.rivera@gmail.com>
Diff between cmfrec versions 3.4.3-2 dated 2022-10-25 and 3.5.0 dated 2022-11-26
DESCRIPTION | 8 +++--- MD5 | 16 ++++++------- build/vignette.rds |binary inst/doc/cmfrec_vignette.R | 3 ++ inst/doc/cmfrec_vignette.Rmd | 3 ++ inst/doc/cmfrec_vignette.html | 11 +++++---- src/collective.c | 50 +++++++++++++++++++++++++----------------- src/common.c | 2 - vignettes/cmfrec_vignette.Rmd | 3 ++ 9 files changed, 58 insertions(+), 38 deletions(-)
Title: Bayesian Non- And Semi-Parametric Model Fitting
Description: MCMC algorithms & processing functions for: 1. single response multiple regression, see Papageorgiou, G. (2018) <doi: 10.32614/RJ-2018-069>, 2. multivariate response multiple regression, with nonparametric models for the means, the variances and the correlation matrix, with variable selection, see Papageorgiou, G. and Marshall, B. C. (2020) <doi: 10.1080/10618600.2020.1739534>, 3. joint mean-covariance models for multivariate responses, see Papageorgiou, G. (2020), and 4.Dirichlet process mixtures, see Papageorgiou, G. (2019) <doi: 10.1111/anzs.12273>.
Author: Georgios Papageorgiou
Maintainer: Georgios Papageorgiou <gpapageo@gmail.com>
Diff between BNSP versions 2.1.6 dated 2021-05-05 and 2.2.0 dated 2022-11-26
BNSP-2.1.6/BNSP/src/test.c |only BNSP-2.2.0/BNSP/DESCRIPTION | 10 BNSP-2.2.0/BNSP/MD5 | 56 + BNSP-2.2.0/BNSP/NAMESPACE | 2 BNSP-2.2.0/BNSP/R/bnpLongMulti.R | 344 ++++++++--- BNSP-2.2.0/BNSP/R/bnpMulti.R | 1063 +++++++++++++++++++++++++----------- BNSP-2.2.0/BNSP/R/mvrm.R | 131 +++- BNSP-2.2.0/BNSP/R/plot.R | 390 ++++++++++--- BNSP-2.2.0/BNSP/man/BNSP-package.Rd | 4 BNSP-2.2.0/BNSP/man/continue.Rd | 9 BNSP-2.2.0/BNSP/man/lmrm.Rd | 10 BNSP-2.2.0/BNSP/man/mvrm.Rd | 60 +- BNSP-2.2.0/BNSP/man/plot.mvrm.Rd | 3 BNSP-2.2.0/BNSP/man/plotCorr.Rd | 2 BNSP-2.2.0/BNSP/man/predict.mvrm.Rd | 5 BNSP-2.2.0/BNSP/man/sinusoid.Rd |only BNSP-2.2.0/BNSP/src/BNSP_init.c | 35 - BNSP-2.2.0/BNSP/src/LongMult.c | 51 + BNSP-2.2.0/BNSP/src/LongMultG.c | 57 + BNSP-2.2.0/BNSP/src/LongMultGV.c | 57 + BNSP-2.2.0/BNSP/src/Mult.c | 121 ++-- BNSP-2.2.0/BNSP/src/MultG.c | 110 ++- BNSP-2.2.0/BNSP/src/MultGT.c |only BNSP-2.2.0/BNSP/src/MultGV.c | 128 ++-- BNSP-2.2.0/BNSP/src/MultGVT.c |only BNSP-2.2.0/BNSP/src/MultT.c |only BNSP-2.2.0/BNSP/src/OneResLtnt.c | 9 BNSP-2.2.0/BNSP/src/Univariate.c | 196 +++++- BNSP-2.2.0/BNSP/src/pdfs.h | 33 + BNSP-2.2.0/BNSP/src/sampling.h | 28 BNSP-2.2.0/BNSP/src/spec.BCM.h | 74 +- BNSP-2.2.0/BNSP/src/spec.T.h |only 32 files changed, 2126 insertions(+), 862 deletions(-)
Title: Conditional Formatting in Data Frames
Description: Apply and visualize conditional formatting to data frames in R.
It renders a data frame with cells formatted according to
criteria defined by rules, using a tidy evaluation syntax. The table is
printed either opening a web browser or within the 'RStudio' viewer if
available. The conditional formatting rules allow to highlight cells
matching a condition or add a gradient background to a given column. This
package supports both 'HTML' and 'LaTeX' outputs in 'knitr' reports, and
exporting to an 'xlsx' file.
Author: Sergio Oller Moreno [aut, cph, cre]
Maintainer: Sergio Oller Moreno <sergioller@gmail.com>
Diff between condformat versions 0.9.0 dated 2020-05-14 and 0.10.0 dated 2022-11-26
DESCRIPTION | 21 +-- MD5 | 57 ++++----- NEWS.md | 16 ++ R/render_gtable.R | 27 ++-- R/render_html.R | 22 ++- R/render_latex.R | 12 + R/render_xlsx.R | 34 ++--- R/rule_css.R | 11 - R/rule_fill_bar.R | 11 - R/rule_fill_discrete.R | 11 - R/rule_fill_gradient.R | 11 - R/rule_fill_gradient2.R | 10 - R/rule_text_bold.R | 11 - R/rule_text_color.R | 13 -- R/show_columns.R | 15 -- R/theme_htmlTable.R | 3 README.md | 38 +++--- build/vignette.rds |binary inst/doc/introduction.html | 194 +++++++++++++++++++------------ inst/shinyexample/server.R | 2 inst/shinyexample/ui.R | 2 man/condformat2grob.Rd | 12 + man/figures/README-fig-example-1.png |binary man/show_columns.Rd | 2 tests/testthat/_snaps |only tests/testthat/test-render-excel.R | 8 - tests/testthat/test-render-gtable.R |only tests/testthat/test-render-html.R | 4 tests/testthat/test-render-latex.R | 6 tests/testthat/test-rule-fill-discrete.R | 12 + 30 files changed, 323 insertions(+), 242 deletions(-)
Title: X-Engineering or Supporting Functions
Description: Miscellaneous functions used for x-engineering (feature engineering) or
for supporting in other packages maintained by 'Shichen Xie'.
Author: Shichen Xie [aut, cre]
Maintainer: Shichen Xie <xie@shichen.name>
Diff between xefun versions 0.1.1 dated 2022-07-02 and 0.1.2 dated 2022-11-26
xefun-0.1.1/xefun/R/utility.R |only xefun-0.1.2/xefun/DESCRIPTION | 8 ++-- xefun-0.1.2/xefun/MD5 | 12 ++++--- xefun-0.1.2/xefun/NAMESPACE | 4 ++ xefun-0.1.2/xefun/NEWS.md | 6 +++ xefun-0.1.2/xefun/R/date_funcs.R | 58 +++++++++++++++++++++--------------- xefun-0.1.2/xefun/R/utils.R |only xefun-0.1.2/xefun/man/cols_const.Rd |only xefun-0.1.2/xefun/man/cols_type.Rd |only 9 files changed, 54 insertions(+), 34 deletions(-)
Title: Predicted Means for Linear and Semi Parametric Models
Description: Providing functions to diagnose and make inferences from various linear models, such as those obtained from 'aov', 'lm', 'glm', 'gls', 'lme', 'lmer' and 'semireg'. Inferences include predicted means and standard errors, contrasts, multiple comparisons, permutation tests and graphs.
Author: Dongwen Luo, Siva Ganesh and John Koolaard
Maintainer: Dongwen Luo <dongwen.luo@agresearch.co.nz>
Diff between predictmeans versions 1.0.6 dated 2021-06-09 and 1.0.8 dated 2022-11-26
predictmeans-1.0.6/predictmeans/R/anovalmer.R |only predictmeans-1.0.6/predictmeans/man/anovalmer.Rd |only predictmeans-1.0.8/predictmeans/DESCRIPTION | 26 predictmeans-1.0.8/predictmeans/MD5 | 43 predictmeans-1.0.8/predictmeans/NAMESPACE | 31 predictmeans-1.0.8/predictmeans/R/Kmatrix.R | 65 predictmeans-1.0.8/predictmeans/R/build-variance-matrices.R |only predictmeans-1.0.8/predictmeans/R/contrastmeans.R | 21 predictmeans-1.0.8/predictmeans/R/covariatemeans.R | 90 - predictmeans-1.0.8/predictmeans/R/matrix-functions.R |only predictmeans-1.0.8/predictmeans/R/misc.R | 957 +++++++----- predictmeans-1.0.8/predictmeans/R/mymodelparm.R | 3 predictmeans-1.0.8/predictmeans/R/permanova.lmer.R | 2 predictmeans-1.0.8/predictmeans/R/permmodels.R | 414 +++-- predictmeans-1.0.8/predictmeans/R/predictmeans.R | 651 ++++---- predictmeans-1.0.8/predictmeans/R/semipred.R |only predictmeans-1.0.8/predictmeans/R/semireg.R |only predictmeans-1.0.8/predictmeans/R/smZ.R |only predictmeans-1.0.8/predictmeans/R/varcomp.R | 8 predictmeans-1.0.8/predictmeans/man/Kmatrix.Rd | 4 predictmeans-1.0.8/predictmeans/man/covariatemeans.Rd | 6 predictmeans-1.0.8/predictmeans/man/df_term.Rd |only predictmeans-1.0.8/predictmeans/man/permmodels.Rd | 34 predictmeans-1.0.8/predictmeans/man/predictmeans.Rd | 24 predictmeans-1.0.8/predictmeans/man/semipred.Rd |only predictmeans-1.0.8/predictmeans/man/semireg.Rd |only predictmeans-1.0.8/predictmeans/man/smZ.Rd |only predictmeans-1.0.8/predictmeans/man/varcomp.Rd | 4 28 files changed, 1467 insertions(+), 916 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-09-26 0.2.0
2022-09-07 0.0.9