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.

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.

stb-image-resize is a library that supports scaling and translation of images. This library is deprecated; stb-image-resize2 should be used instead.

Funtions helpful for LIBD deconvolution project. Includes tools for marker finding with mean ratio, expression plotting, and plotting deconvolution results. Working to include DLPFC datasets.

Bland-Altman Plots using either base graphics or ggplot2, augmented with confidence intervals, with detailed return values and a sunflowerplot option for data with ties.

Calculation of consensus values for atomic weights, isotope amount ratios, and isotopic abundances with the associated uncertainties using multivariate meta-regression approach for consensus building.

Compute missing values on a training data set and impute them on a new data set. Current available options are median/mode and random forest.

This package provides data set and function for exploration of Multiple Indicator Cluster Survey 2014 Women (age 15-49 years) questionnaire data for Punjab, Pakistan.

Extension to the spatstat package, enabling the user to fit point process models to point pattern data by local composite likelihood ('geographically weighted regression').

Run a julia REPL inside a terminal in Emacs. In contrast to ESS, use the Julia REPL facilities for interactive features, such readline, help, debugging.

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.

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>.

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.

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

This package provides a collection of supervised discretization algorithms. It can also be grouped in terms of top-down or bottom-up, implementing the discretization algorithms.

This package provides a shiny application based on FossilSim'. Used for simulating tree, taxonomic and fossil data under mechanistic models of speciation, preservation and sampling.

Enhance package testthat by allowing tests to be attached to the function/object they test. This allows to keep functional and unit test code together.

Utilities for multiple hypothesis testing, companion datasets from "Probability and Statistics for Economics and Business: An Introduction Using R" by Jason Abrevaya (MIT Press, under contract).

Presidential Election data of "Sri Lanka"" is stored in Pdf files, through Pdf scraping they are converted into data-frames and stored in this R package.

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.