This package provides tools to calculate the Earth Mover's Distance (EMD).

This package provides a utility for R to parse a bibtex file.

This package provides functions used for local regression, likelihood and density estimation.

colorectal cancer mRNA and miRNA on 18 cell lines.

Inference of Genetic Variants Driving Cellullar Phenotypes by the DIGGIT algorithm.

MUSCLE performs multiple sequence alignments of nucleotide or amino acid sequences.

Nonparametric estimation of additive isotonic covariate effects for proportional hazards model.

The Biodem package provides a number of functions for Biodemographic analysis.

Streamlines the fitting of common Bayesian item response models using Stan.

Robust regression via gamma-divergence with L1, elastic net and ridge.

Generator and density function for the Generalized Inverse Gaussian (GIG) distribution.

Implementation of the information matrix test for generalized partial credit models.

Adding updates (version or bullet points) to the NEWS.md file.

An implementation of the Blinder-Oaxaca decomposition for linear regression models.

Fitting the full likelihood proportional hazards model and extracting the residuals.

This package provides functions common to members of the SISTM team.

Instead of nesting function calls, annotate and transform functions using "#." comments.

This package provides an implementation of the RSS syndication format for Hare.

This package provides access to phyloinformatic data in NeXML format. The package should add new functionality to R such as the possibility to manipulate NeXML objects in more various and refined way and compatibility with ape objects.

This is a deprecated package for accessing huge amounts of data. Cross-platform alternatives are the following packages: bigmemory (CRAN), ff (CRAN), or BufferedMatrix (Bioconductor). The main usage of it was inside the aroma.affymetrix package.

The package includes functions to build restriction enzyme cut site (RECS) map, distribute mapped sequences on the map with five different approaches, find enriched/depleted RECSs for a sample, and identify differentially enriched/depleted RECSs between samples.

Aims to create a single isolated Miniconda and Python environment for reproducible pipeline scripts. The package provides utilities to run system command within the conda environment, making it easy to install, launch, manage, and stop Jupyter-lab'.

This package contains convenience functions for working with spatial data across multiple UTM zones, raster-vector operations common in the analysis of conflict data, and converting degrees, minutes, and seconds latitude and longitude coordinates to decimal degrees.

Fits an Ising model to a binary dataset using L1 regularized logistic regression and extended BIC. Also includes a fast lasso logistic regression function for high-dimensional problems. Uses the libLBFGS optimization library by Naoaki Okazaki.