Rcpp reimplementation of the the Bayesian non-parametric Dirichlet Process Regression model for penalized regression first published in Zeng and Zhou (2017) <doi:10.1038/s41467-017-00470-2>. A full Bayesian version is implemented with Gibbs sampling, as well as a faster but less accurate variational Bayes approximation.

This package implements the rank-ordered logit (RO-logit) model for stratified analysis of continuous outcomes introduced by Tan et al. (2017) <doi:10.1177/0962280217747309>. Model diagnostics based on the heuristic residuals and estimates in linear scales are available from the package, and outcomes with ties are supported.

This package provides a simple rounding function. The default round() function in R uses the IEC 60559 standard and therefore it rounds 0.5 to 0 and rounds -1.5 to -2. The roundx() function accounts for this and helps to round 0.5 up to 1.

This package provides bindings for libssh2 for interacting with SSH servers and executing remote commands, forwarding local ports, etc.

This package provides Poem is a full-featured and easy-to-use web framework with the Rust programming language.

This package provides Bindings to libssh2 for interacting with SSH servers and executing remote commands, forwarding local ports, etc.

ROCm tracer provides an API to provide functionality for registering the runtimes API callbacks and asynchronous activity records pool support.

The unmodified Linux kernel, including nonfree blobs, for running Guix System on hardware which requires nonfree software to function.

Multi-category angle-based large-margin classifiers. See Zhang and Liu (2014) <doi:10.1093/biomet/asu017> for details.

The function \codebarcode() produces a histogram-like plot of a distribution that shows granularity in the data.

Bayesian adaptive trial algorithm implements multiple-stage interim analysis. Package includes data generating function, and Bayesian hypothesis testing function.

Interactively train neural networks on Numerai, <https://numer.ai/>, data. Generate tournament predictions and write them to a CSV.

Data sets and functions, for the display of gene expression array (microarray) data, and for demonstrations with such data.

Computes the most common diversity measures used in social and other sciences, and includes new measures from interdisciplinary research.

Developed to Solve the Multi-Criteria Decision Making Problems with Decision Making Trial and Evaluation Laboratory Technique in R.

This package performs analysis of regression in simple designs with quantitative treatments, including mixed models and non linear models.

Import SPSS data, handle and change SPSS meta data, store and access large hierarchical data in SQLite data bases.

Fast censored linear regression for the accelerated failure time (AFT) model of Huang (2013) <doi:10.1111/sjos.12031>.

Mark your interesting genes on plot and support more parameters to handle your own gene set enrichment analysis plot.

Read and process isotopocule data from an Orbitrap Isotope Solutions mass spectrometer. Citation: Kantnerova et al. (Nature Protocols, 2024).

Producing kernel estimates of the unconditional and conditional hazard function for right-censored data including methods of bandwidth selection.

Efficient implementation of Friedman's boosting algorithm with l2-loss function and coordinate direction (design matrix columns) basis functions.

Implementation of robust and sparse PCA algorithm of Wang and Van Aelst (2019) <DOI:10.1080/00401706.2019.1671234>.

Uses dplyr and tidyeval to fit statistical models inside the database. It currently supports KMeans and linear regression models.