This package provides a tool to exchange data between R and Raven sound analysis software (Cornell Lab of Ornithology). Functions work on data formats compatible with the R package warbleR'.

Non-inferiority test and diagnostic test are very important in clinical trails. This package is to get a p value from the non-inferiority test for ROC curves from diagnostic test.

An implementation of algorithms for estimation of the graphical lasso regularization parameter described in Pedro Cisneros-Velarde, Alexander Petersen and Sang-Yun Oh (2020) <http://proceedings.mlr.press/v108/cisneros20a.html>.

This package is a port of sofia-ml to R. Sofia-ml is a suite of fast incremental algorithms for machine learning that can be used for training models for classification or ranking.

Execute FOCAL (<https://en.wikipedia.org/wiki/FOCAL_(programming_language)>) source code directly in R'. This is achieved by translating FOCAL code into equivalent R commands and controlling the sequence of execution.

An extremely simple stack data type, implemented with R6 classes. The size of the stack increases as needed, and the amortized time complexity is O(1). The stack may contain arbitrary objects.

This package implements diversification analyses using the phylogenetic birth-death-shift model. It leverages belief propagation techniques to calculate branch-specific diversification rates, see Kopperud & Hoehna (2025) <doi:10.1093/sysbio/syaf041>.

This package performs regularization of differential item functioning (DIF) parameters in item response theory (IRT) models (Belzak & Bauer, 2020) <https://pubmed.ncbi.nlm.nih.gov/31916799/> using a penalized expectation-maximization algorithm.

This package provides an interface for the Basic Local Alignment Search Tool (BLAST) to search genetic sequence data bases. This includes interfaces to blastn, blastp, blastx, and makeblastdb.

This package provides functions for bitwise operations on integer vectors.

Fragment-level analysis of gas chromatography-massspectrometry metabolomics data.

Pipeline for the anaysis of a MS-GBS experiment.

MS-based metabolomics data processing and compound annotation pipeline.

Calculate robust measures of effect sizes using the bootstrap.

The sample size according to the Bethel's procedure.

Construction and analysis of matrix population models in R.

Analyze and model heteroskedastic behavior in financial time series.

Non-spatial and spatial open-population capture-recapture analysis.

Plot principal component histograms around a bivariate scatter plot.

Plots that illustrate the flow of information or material.

Seamlessly interfaces the Basic Local Alignment Search Tool (BLAST) running locally to search genetic sequence data bases. This work was partially supported by grant no. R21HG005912 from the National Human Genome Research Institute.

Peaks Over Threshold (POT) or methode du renouvellement'. The distribution for the excesses can be chosen, and heterogeneous data (including historical data or block data) can be used in a Maximum-Likelihood framework.

This package provides a toolkit for the analysis of paths from spatial tracking experiments and calculation of goal-finding strategies. This package is centered on an approach using machine learning for path classification.

This package provides a toolkit of functions for nonlinear regression and repeated measurements. It was designated to be imported by other packages such as gnlm, stable, growth, repeated, and event.