This package contains greedy algorithms for coarse approximation linear functions.

High-frequency time-series support via nanotime and data.table'.

Unsupervised Clustering and Meta-analysis using Gaussian Mixture Copula Models.

The program GRNN implements the algorithm proposed by Specht (1991).

R interface to POSIX mmap and Window's MapViewOfFile.

Get or set UNIX priority (niceness) of running R process.

This package provides a DBI-compatible interface to ODBC databases.

Read and write GraphPad Prism .pzfx files in R.

Tests periodicity in short time series using response surface regression.

This package provides functions for statistical analysis of point processes.

Efficient estimation of multivariate skew-normal distribution in closed form.

Collection of models and analysis methods used in regional and urban economics and (quantitative) economic geography, e.g. measures of inequality, regional disparities and convergence, regional specialization as well as accessibility and spatial interaction models.

Connect R with MOA (Massive Online Analysis - <https://moa.cms.waikato.ac.nz/>) to build classification models and regression models on streaming data or out-of-RAM data. Also streaming recommendation models are made available.

Summarize model output using a robust effect size index. The index is introduced in Vandekar, Tao, & Blume (2020, <doi:10.1007/s11336-020-09698-2>). Software paper available at <doi:10.18637/jss.v112.i03>.

This package provides functions for extracting feature contributions from a random forest model from package randomForest. Feature contributions provide detailed information about the relationship between data variables and the predicted value returned by random forest model.

This package provides a recursively partitioned mixture model for Beta and Gaussian mixtures. This is a model-based clustering algorithm that returns a hierarchy of classes, similar to hierarchical clustering, but also similar to finite mixture models.

This package provides tools for manipulating, exploring, and visualising multiple-response data, including scored or ranked responses. Conversions to and from factors, lists, strings, matrices; reordering, lumping, flattening; set operations; tables; frequency and co-occurrence plots.

This package provides tools for regression-based Boolean rule inference in artificial intelligence studies. The package fits ridge regression models on conjunction expansions and composes interpretable rule sets. Parallel execution is supported for multi-CPU environments.

Efficient implementation of several Optimal Transport algorithms in Fangzhou Xie (2025) <doi:10.48550/arXiv.2504.08722> and the Wasserstein Index Generation (WIG) model in Fangzhou Xie (2020) <doi:10.1016/j.econlet.2019.108874>.

This package provides a pure R implementation of the t-SNE algorithm.

Combining Univariate Association Test Results of Multiple Phenotypes for Detecting Pleiotropy.

Collection of functions for distributed lag linear and non-linear models.

This package provides a framework for creating plots with glowing points.

This package provides functions for measuring population divergence from genotypic data.