Tools to work with variant call format files

Easy Handling Discrete Time Markov Chains

Explaining the output of machine learning models with more accurately estimated Shapley values

R package for Mixed-Frequency Bayesian VARs

Anything to POSIXct or Date Converter

BASiCS: Bayesian Analysis of Single-Cell Sequencing Data. This is an unstable experimental version. Please see http://bioconductor.org/packages/BASiCS/ for the official release version

Rcpp (free of Java/Weka) implementation of FSelector entropy-based feature selection algorithms with a sparse matrix support

Generalized Method of Wavelet Moments (GMWM) is an estimation technique for the parameters of time series models. It uses the wavelet variance in a moment matching approach that makes it particularly suitable for the estimation of certain state-space models.

An R package for Keyword Assisted Topic Models

R package for fitting joint models to time-to-event data and multivariate longitudinal data

Inline C, C++ or Fortran functions in R

🚀 Implementation of core data structures for R

Text Processing for Small or Big Data Files in R

Now on CRAN, bigKRLS combines bigmemory & RcppArmadillo (C++) for speed into a new Kernel Regularized Least Squares algorithm. Slides:

R package to calculate the final size of an SIR epidemic in populations with heterogeneity in social contacts and disease susceptibility

R client for Apache Kafka

R interface to matplotlib

Build sf objects from R and Rcpp

R bindings to the libldap library

R library for NMR/MS analyses. Workflow includes NMR data import & preprocessing, statistical modelling (PCA, O-PLS), met ID-ing, visualisation (ggplot2, plotly).. Critical functions implemented in C++ using linear algebra packages (Armadillo, Eigen) to improve run-time.