Some simple objects and functions to do statistics using linear models and a Bayesian framework.

Exploratory model analysis with <http://ggobi.org>. Fit and graphical explore ensembles of linear models.

This package provides a set of tools to install, manage and run several Pandoc versions.

Tailoring the optimal biomarker(s) for disease screening or diagnosis based on subjects individual characteristics.

This package provides a base dependency solution with basic argument parsing for use with Rscript'.

Calculates the power and sample size based on the difference in Restricted Mean Survival Time.

Demographic data on the United States at the county and state levels spanning multiple years.

This package provides tools to build CDISC compliant data sets and check for CDISC compliance.

This package provides a library for rolling windows operations. The package enables full control over the window length, window lag, and time indices. With a runner one can apply any R function on rolling windows. The package eases work with equally and unequally spaced time series.

This package provides the random ferns classifier by Ozuysal, Calonder, Lepetit and Fua (2009) <doi:10.1109/TPAMI.2009.23>, modified for generic and multi-label classification and featuring OOB error approximation and importance measure as introduced in Kursa (2014) <doi:10.18637/jss.v061.i10>.

Interface to SWI'-'Prolog', <https://www.swi-prolog.org/>. This package is normally not loaded directly, please refer to package rolog instead. The purpose of this package is to provide the Prolog runtime on systems that do not have a software installation of SWI'-'Prolog'.

Useful tools for determining whether two samples are from the same distribution. Utilizes a robust method to address the problematic structure of the similarity graph constructed from high-dimensional data. The method is provided in Yichuan Bai and Lynna Chu (2023) <arXiv:2307.12325>.

R-level and C++-level functionality to generate random deviates from and calculate moments of a Truncated Normal distribution using the algorithm of Robert (1995) <DOI:10.1007/BF00143942>. In addition to RNG, functions for calculating moments, densities, and entropies are provided at both levels.

This package provides utilities to re-use content across chapters of a Bioconductor book. This is mostly based on functionality developed while writing the OSCA book, but generalized for potential use in other large books with heavy compute. Also contains some functions to assist book deployment.

This package provides functions to conduct hypothesis tests and derive confidence intervals for quantiles, linear combinations of quantiles, ratios of dependent linear combinations and differences and ratios of all of the above for comparisons between independent samples. Additionally, quantile-based measures of inequality are also considered.

Reference-based multiple imputation of ordinal and binary responses under Bayesian framework, as described in Wang and Liu (2022) <arXiv:2203.02771>. Methods for missing-not-at-random include Jump-to-Reference (J2R), Copy Reference (CR), and Delta Adjustment which can generate tipping point analysis.

Wrench is a package for normalization sparse genomic count data, like that arising from 16s metagenomic surveys.

This package provides negative binomial models for two-group comparisons and regression inferences from RNA-sequencing data.

Functions for modelling that help you seamlessly integrate modelling into a pipeline of data manipulation and visualisation.

This package provides full screen and partial loading screens for Shiny with spinners, progress bars, and notifications.

This package provides a collection of templates to author preregistration documents for scientific studies in PDF format.

This package provides a multi-modal simulation engine for studying dynamic cellular processes at single-cell resolution.

This package provides two convenience functions assert() and test_pkg() to facilitate testing R packages.

This library provides methods to read Adobe Font Metrics (afm) files and use the data therein.