An R interface to KEA (Version 5.0). KEA (for Keyphrase Extraction Algorithm) allows for extracting keyphrases from text documents. It can be either used for free indexing or for indexing with a controlled vocabulary. For more information see <http://www.nzdl.org/Kea/>.

Systematically transform immunoassay data, evaluate if the data is normally distributed, and pick the right method for cut point determination based on that evaluation. This package can also produce plots that are needed for reports, so data analysis and visualization can be done easily.

This package provides a collection of implementations of semi-supervised classifiers and methods to evaluate their performance. The package includes implementations of, among others, Implicitly Constrained Learning, Moment Constrained Learning, the Transductive SVM, Manifold regularization, Maximum Contrastive Pessimistic Likelihood estimation, S4VM and WellSVM.

This package provides a suite of tools to create tables that accompany maps. The tools create clean, informative tables for electoral outcomes, compactness, and other district-level quantities. Most tools are aimed at the redistricting context, but are broadly applicable to other electoral data.

This is a package providing tools for weighted k-Nearest neighbors for classification, regression and clustering.

This package provides tools for clustering and principal component analysis (with robust methods, and parallelized functions).

This package provides a comprehensive collection of color palettes, color maps, and tools to evaluate them.

This package provides a drop-in replacement of golint - revive a lint framework custom rules.

Rakudo is a compiler that implements the Raku specification and runs on top of several virtual machines.

NChannelSet for rat hepatocytes treated with Carbon Tetrachloride (CCl4) data from LGC company.

Modified quantile normalization for omics or other matrix-like data distorted in location and scale.

This package finds optimal sets of genes that seperate samples into two or more classes.

This package provides a Tool for Semi-Automating the Statistical Disclosure Control of Research Outputs.

Parameter estimation, one-step ahead forecast and new location prediction methods for spatio-temporal data.

This package provides functions for visualizing, modeling, forecasting and hypothesis testing of functional time series.

This package provides functions and a graphical user interface for graphical described multiple test procedures.

Miscellaneous functions and wrappers for development in other packages created, maintained by Jordan Mark Barbone.

This package implements likelihood inference based on higher order approximations for linear nonnormal regression models.

This package provides a variety of functions useful for data analysis, selection, manipulation, and graphics.

An implementation of the pediatric complex chronic conditions (CCC) classification system using R and C++.

Inference and visualize gene regulatory network based on single-cell RNA sequencing pseudo-time information.

The sparse principal component regression is computed. The regularization parameters are optimized by cross-validation.

This package provides functions and Datasets from Lohr, S. (1999), Sampling: Design and Analysis, Duxbury.

Statistical interpretation of forensic glass transfer (Simulation of the probability distribution of recovered glass fragments).