Computes attributable effects based confidence interval, permutation test confidence interval, or asymptotic confidence interval for the average treatment effect on a binary outcome. Methods outlined in further detail in Rigdon and Hudgens (2015) <doi:10.1002/sim.6384>.

Reading and writing BibTeX files using data frames in R sessions.

This package performs differential network analysis to infer disease specific gene networks.

Reliable and rapid ethnicity annotation from whole exome and targeted sequencing data.

It implements the Nelson-Siegel and the Nelson-Siegel-Svensson term structures.

Maximum likelihood estimation under relational models, with or without the overall effect.

Kernel regression smoothing with adaptive local or global plug-in bandwidth selection.

Utilities for querying plain text accounting files from Ledger', HLedger', and Beancount'.

The stepwise regression with assumptions checking and the possible Box-Cox transformation.

Catalogue of NBER working papers published between June 1973 and December 2021.

Implementation of forward selection based on cross-validated linear and logistic regression.

This package provides a friendly API for sequence iteration and set comprehension.

An R-package for Estimating Semiparametric PH and AFT Mixture Cure Models.

Remove batch effects by projecting query batches into the reference batch space.

Generate a palette of tints, shades or both from a single colour.

Set of tools for manipulating gas exchange data from cardiopulmonary exercise testing.

This is package for regression modeling using rules with added instance-based corrections.

This package provides tools to export R data as LaTeX and HTML tables.

List HSA Agents available to ROCm and show their properties.

This package provides a class to deal with collections of unordered, unique values

ROSE (RObust Semiparametric Efficient) random forests for robust semiparametric efficient estimation in partially parametric models (containing generalised partially linear models). Details can be found in the paper by Young and Shah (2024) <doi:10.48550/arXiv.2410.03471>.

This package provides a solution path for Reinforced Angle-based Multicategory Support Vector Machines, with linear learning, polynomial learning, and Gaussian kernel learning. C. Zhang, Y. Liu, J. Wang and H. Zhu. (2016) <doi:10.1080/10618600.2015.1043010>.

The package analyzes the Curve ROC, identificates it among different types of Curve ROC and calculates the area under de curve through the method that is most accuracy. This package is able to standarizate proper and improper pAUC.

Rapid, simulation-based exact (restricted) likelihood ratio tests for testing the presence of variance components/nonparametric terms for models fit with nlme::lme(), lme4::lmer(), lmeTest::lmer(), gamm4::gamm4(), mgcv::gamm() and SemiPar::spm().