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').

Perform and Runtime statistical comparisons between models. This package aims at choosing the best model for a particular dataset, regarding its discriminant power and runtime.

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.

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>.

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.

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.

This package implements tools for delayed computation of a matrix of residuals after fitting a linear model to each column of an input matrix. It also supports partial computation of residuals where selected factors are to be preserved in the output matrix. It implements a number of efficient methods for operating on the delayed matrix of residuals, most notably matrix multiplication and calculation of row/column sums or means.

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.

Cl-reexport makes a package reexport symbols which are external symbols in other Common Lisp packages. This functionality is intended to be used with (virtual) hierarchical packages.

Uses the new result type defined in OCaml >= 4.03 while staying compatible with older version of OCaml should use the Result module defined in this library.

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.