Alternatives and similar repositories for GLM

Users that are interested in GLM are comparing it to the libraries listed below

• hadley / ggstat
  Statistical computations for visualisation
  ☆70Updated 9 years ago
• kbroman / JSM2016slides
  Links to slides for talks at the 2016 Joint Statistical Meetings in Chicago
  ☆79Updated 3 years ago
• caprice-j / ggbash
  A simpler ggplot2 syntax, saving half of your typing.
  ☆80Updated 6 years ago
• drsimonj / pipelearner
  Tidy machine learning pipelines
  ☆133Updated 8 years ago
• zmjones / edarf
  exploratory data analysis using random forests
  ☆68Updated 7 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 2 months ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆73Updated 3 years ago
• vertica / ddR
  Standard API for Distributed Data Structures in R
  ☆118Updated 7 years ago
• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆61Updated 2 years ago
• hadley / bigvis
  Exploratory data analysis for large datasets (10-100 million observations)
  ☆289Updated 9 years ago
• jhoupt / DBDA2Estan
  Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
  ☆68Updated 7 years ago
• aloysius-lim / bigrf
  Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory
  ☆91Updated 9 years ago
• rasmusab / bayesian_first_aid
  Inside every classical test there is a Bayesian model trying to get out.
  ☆326Updated 8 years ago
• tdhock / animint
  animated and interactive web graphics
  ☆147Updated 5 years ago
• WinVector / WVPlots
  Pre-packaged plots in R
  ☆85Updated last year
• AmeliaMN / DS_for_S
  Materials for March 12 ENAR short course on Data Science for Statisticians
  ☆47Updated 8 years ago
• hilaryparker / explainr
  ☆109Updated 8 years ago
• kbroman / RStudioConf2017Slides
  Links to slides for talks at the 2017 rstudio::conf
  ☆144Updated 3 years ago
• topepo / useR2016
  Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"
  ☆39Updated 8 years ago
• garrettgman / ggsubplot
  Embed subplots in ggplot2 graphics in R
  ☆87Updated 9 years ago
• johnmyleswhite / SimpleAintEasy
  A compendium of the pitfalls and problems that arise when using standard statistical methods
  ☆246Updated 11 years ago
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• yihui / runr
  Run external programs from R (experimental)
  ☆89Updated 7 years ago
• hongooi73 / glmnetUtils
  Utilities for glmnet
  ☆65Updated last year
• dgrtwo / empirical-bayes-book
  Introduction to Empirical Bayes: Examples from Baseball Statistics
  ☆194Updated 4 years ago
• rbertolusso / intubate
  <||> Interfaces to Popular R Functions for Data Science Pipelines, and More
  ☆75Updated 8 years ago
• ljdursi / beyond-single-core-R
  Short tour of parallel and foreach packages, and how to think about scaling data analyses
  ☆74Updated 4 years ago
• rho-devel / rho
  ☆133Updated 7 years ago
• hadley / lineprof
  Visualise line profiling results in R
  ☆106Updated 9 years ago
• jthaman / ciTools
  An R Package for Quick Uncertainty Intervals
  ☆107Updated last year