This is a repository for analyzing data using parallel programming and R
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Updated
Mar 29, 2018 - R
This is a repository for analyzing data using parallel programming and R
R package: resources - Resource Specifications for R Evaluations
Parallelization, speed up R code, model diagnostics, missing value imputation
Genomic Functional Regression in R [R Package - dev version]
[BETA] R package: Easily Install and Load the 'Futureverse'
🚀 R package future.callr: A Future API for Parallel Processing using 'callr'
Tutorial: An Introduction to Futureverse for Parallel Processing in R (useR! 2022)
Multi-core processing of 'Gameday' data from Major League Baseball Advanced Media. Additional tools to parallelize large data sets and write them to a database.
Bayesian Multi-Trait Multi-Environment for genomic selection[R package] [Dev version]
R package for building flexible workflows
🚀 R package: future.apply - Apply Function to Elements in Parallel using Futures
🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone
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