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A Toolkit for Recursive Partytioning
A toolkit with infrastructure for representing, summarizing, and visualizing tree-structured regression and classification models. This unified infrastructure can be used for reading/coercing tree models from different sources ('rpart', 'RWeka', 'PMML') yielding objects that share functionality for print()/plot()/predict() methods. Furthermore, new and improved reimplementations of conditional inference trees (ctree()) and model-based recursive partitioning (mob()) from the 'party' package are provided based on the new infrastructure. A description of this package was published by Hothorn and Zeileis (2015) < https://jmlr.org/papers/v16/hothorn15a.html>.
Zebra-Striped Tables in LaTeX and HTML Formats
Makes zebra-striped tables (tables with alternating row colors) in LaTeX and HTML formats easily from a data.frame, matrix, lm, aov, anova, glm, coxph, nls, fitdistr, mytable and cbind.mytable objects.
Visualizations of Distributions and Uncertainty
Provides primitives for visualizing distributions using 'ggplot2' that are particularly tuned for
visualizing uncertainty in either a frequentist or Bayesian mode. Both analytical distributions (such as
frequentist confidence distributions or Bayesian priors) and distributions represented as samples (such as
bootstrap distributions or Bayesian posterior samples) are easily visualized. Visualization primitives include
but are not limited to: points with multiple uncertainty intervals,
eye plots (Spiegelhalter D., 1999) < https://ideas.repec.org/a/bla/jorssa/v162y1999i1p45-58.html>,
density plots, gradient plots, dot plots (Wilkinson L., 1999)
Check 'C' and 'C++' Files using 'Cppcheck'
Allow to run 'Cppcheck' (< https://cppcheck.sourceforge.io/>) on 'C' and 'C++' files with a 'R' command or a 'RStudio' addin. The report appears in the 'RStudio' viewer pane as a formatted 'HTML' file. It is also possible to get this report with a 'shiny' application. 'Cppcheck' can spot many error types and it can also give some recommendations on the code.
Clean Class-Less 'R Markdown' HTML Documents
A collection of clean 'R Markdown' HTML document templates using classy-looking classless CSS styles. These documents use a minimal set of dependencies but still look great, making them suitable for use a package vignettes or for sharing results via email.
Edit 'XMP' Metadata and 'PDF' Bookmarks and Documentation Info
Edit 'XMP' metadata < https://en.wikipedia.org/wiki/Extensible_Metadata_Platform> in a variety of media file formats as well as edit bookmarks (aka outline aka table of contents) and documentation info entries in 'pdf' files. Can detect and use a variety of command-line tools to perform these operations such as 'exiftool' < https://exiftool.org/>, 'ghostscript' < https://www.ghostscript.com/>, and/or 'pdftk' < https://gitlab.com/pdftk-java/pdftk>.
Report Functions to Create HTML and PDF Files
Create and combine HTML and PDF reports from within R. Possibility to design tables and listings for reporting and also include R plots.
Importing 'SVG' Graphics
Functions for importing external vector images and drawing them as part of 'R' plots. This package is different from the 'grImport' package because, where that package imports 'PostScript' format images, this package imports 'SVG' format images. Furthermore, this package imports a specific subset of 'SVG', so external images must be preprocessed using a package like 'rsvg' to produce 'SVG' that this package can import. 'SVG' features that are not supported by 'R' graphics, e.g., gradient fills, can be imported and then exported via the 'gridSVG' package.
Create Details HTML Tag for Markdown and Package Documentation
Create a details HTML tag around R objects to place in a Markdown, 'Rmarkdown' and 'roxygen2' documentation.
XML-RPC Interface to NEOS
Within this package the XML-RPC API to NEOS < https://neos-server.org/neos/> is implemented. This enables the user to pass optimization problems to NEOS and retrieve results within R.