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Statistical Rethinking course winter 2022
An R package for causal inference in time series
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
Function-oriented Make-like declarative workflows for R
🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone
An R implementation of the UpSet set visualization technique published by Lex, Gehlenborg, et al..
Easily install and load the tidymodels packages
A dplyr backend that partitions a data frame over multiple processes
👻 Utilities for analyzing Bayesian models and posterior distributions
Accurate sample inference from amplicon data with single nucleotide resolution
Pipe-friendly Framework for Basic Statistical Tests in R
rstanarm R package for Bayesian applied regression modeling
Creating interactive R Problem Sets. Automatic hints and solution checks. (Shiny or RStudio)
R package for statistical tools with big matrices stored on disk.
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting
VirFinder: a novel k-mer based tool for identifying viral sequences from assembled metagenomic data
Estimate Realtime Case Counts and Time-varying Epidemiological Parameters
Bayesian inference of ancestral dates on bacterial phylogenetic trees
🚀 R package future.batchtools: A Future API for Parallel and Distributed Processing using batchtools