This package implements a thresholded version of the Sliced Inverse Regression method (Li, K. C. (1991) <doi:10.2307/2290563>), which allows to do variable selection.

This package provides a tabular style data object where most data is stored outside main memory. A buffer is used to speed up access to data.

This package defines classes for "class discovery" in the OOMPA project. Class discovery primarily consists of unsupervised clustering methods with attempts to assess their statistical significance.

This package provides an interface to Amazon Web Services analytics services, including Elastic MapReduce Hadoop and Spark big data service, Elasticsearch search engine, and more.

This package provides a substitute implementation of the compiler's proc_macro API to decouple token-based libraries from the procedural macro use case.

This library provides a Rust binding to the original implementation of webview, a tiny cross-platform library to render web-based GUIs as desktop applications.

ICU is a set of C/C++ and Java libraries providing Unicode and globalisation support for software applications. This package contains the C/C++ part.

The rocprofiler-register library is a helper library that coordinates the modification of the intercept API table(s) of the HSA/HIP/ROCTx runtime libraries by the ROCprofiler (v2) library. The purpose of this library is to provide a consistent and automated mechanism of enabling performance analysis in the ROCm runtimes which does not rely on environment variables or unique methods for each runtime library.

This package provides functions to generate plots and tables for comparing independently- sampled populations. Companion package to "A Primer on Visualizations for Comparing Populations, Including the Issue of Overlapping Confidence Intervals" by Wright, Klein, and Wieczorek (2019) <DOI:10.1080/00031305.2017.1392359> and "A Joint Confidence Region for an Overall Ranking of Populations" by Klein, Wright, and Wieczorek (2020) <DOI:10.1111/rssc.12402>.

Fit and deploy rotation forest models ("Rodriguez, J.J., Kuncheva, L.I., 2006. Rotation forest: A new classifier ensemble method. IEEE Trans. Pattern Anal. Mach. Intell. 28, 1619-1630 <doi:10.1109/TPAMI.2006.211>") for binary classification. Rotation forest is an ensemble method where each base classifier (tree) is fit on the principal components of the variables of random partitions of the feature set.

Adds subtotal rows / sections (a la the SAS Proc Tabulate All option) to a Group By output by running a series of Group By functions with partial sets of the same variables and combining the results with the original. Can be used to add comprehensive information to a data report or to quickly aggregate Group By outputs used to gain a greater understanding of data.

rust-stakeholder is a joke program that generates nonsensical terminal output so one can look busy. Comes in different developer flavours and varying levels of jargon.

Uses ggplot2 to create normally distributed violin plots with specified means and standard deviations. This function can be useful in showing hypothetically normal distributions and confidence intervals.

Simple interface routines to facilitate the handling of network objects with complex intertemporal data. This is a part of the "statnet" suite of packages for network analysis.

An easy framework to set a quality control workflow on a dataset. Includes a various range of functions that allow to establish an adaptable data quality control.

This package provides different functions for quantifying qualitative survey data. It supports the Carlson-Parkin method, the regression approach, the balance approach and the conditional expectations method.

This package provides a crate for decoding and encoding the header part of gzip files based on the gzip header implementation in the flate2 crate.

This package provides a crate for decoding and encoding the header part of gzip files based on the gzip header implementation in the flate2 crate.

ert-runner is a tool for Emacs projects tested using ERT. It assumes a certain test structure setup and can therefore make running tests easier.

This is the ReportLab PDF Toolkit. It allows rapid creation of rich PDF documents, and also creation of charts in a variety of bitmap and vector formats.

This package provides a port of the C++ routine for applying the marching cubes algorithm written by Thomas Lewiner et al. (2012) <doi:10.1080/10867651.2003.10487582> into an R package. The package supplies the contour3d() function, which takes a 3-dimensional array of voxel data and calculates the vertices, vertex normals, and faces for a 3d mesh representing the contour(s) at a given level.

math-random is an drop-in replacement for Math.random that uses cryptographically secure random number generation, where available. It works in both browser and node environments.

This package provides a wrapper for Google's diff-match-patch library. It provides basic tools for computing diffs, finding fuzzy matches, and constructing / applying patches to strings.

Does fuzzy tests and confidence intervals (following Geyer and Meeden, Statistical Science, 2005, <doi:10.1214/088342305000000340>) for sign test and Wilcoxon signed rank and rank sum tests.