This package provides functions for converting between UK and US spellings of English words.

Nonparametric estimation of a unimodal or U-shape covariate effect under additive hazards model.

This package provides a package for the orthology prediction data download from OMA database.

This package provides tools for quantifying DNA binding specificities based on SELEX-seq data.

This package provides flexible, quantitative, and integrative genomic visualizations for publication-quality multi-panel figures.

This package provides simple utility functions to read from and write to the system clipboards.

Constructs confidence intervals on the probability of success in a binomial experiment via several parameterizations

Assertive Expressive (AE) is an assertions library specifically designed for reuse by other test frameworks.

Assertive Expressive (AE) is an assertions library specifically designed for reuse by other test frameworks.

An interface to the Integrated Taxonomic Information System ('ITIS') (<https://www.itis.gov>). Includes functions to work with the ITIS REST API methods (<https://www.itis.gov/ws_description.html>), as well as the Solr web service (<https://www.itis.gov/solr_documentation.html>).

This package performs Bayesian variable screening and selection for ultra-high dimensional linear regression models.

Allows inferring gene regulatory networks with direct physical interactions from microarray expression data using C3NET.

Copula-based imputation methods: parametric and nonparametric algorithms for missing multivariate data through conditional copulas.

This package provides a ggplot2 extension for implementing parliament charts and several other useful visualizations.

This package provides classes and methods for spatially explicit land use change modelling in R.

Various functions for random number generation, density estimation, classification, curve fitting, and spatial data analysis.

Implementation of discriminant analysis with network structures in predictors accommodated to do classification and prediction.

This package provides functions and data sets for the text Probability and Statistics with R.

Connects to the API of <https://pushshift.io/> to search for Reddit comments and submissions.

Fits complex parametric models using the method proposed by Cox and Kartsonaki (2012) without likelihoods.

Proposes an application for sequence prediction generalizing the similarity within the network of previous sequences.

Two-stage procedure compares hazard rate functions, which may or may not cross each other.

Fitting time-varying coefficient models for single and multi-equation regressions, using kernel smoothing techniques.

This package provides templates and functions to simplify the production and maintenance of curriculum vitae.