Alternatives and similar repositories for Practical-Statistics:

Users that are interested in Practical-Statistics are comparing it to the libraries listed below

• stan-dev / stan-dev.github.io
  Stan website built using Quarto, theming in repo quarto-config
  ☆20Updated last week
• pbiecek / ceterisParibus
  Ceteris Paribus Plots (What-If plots) for explanations of a single observation
  ☆42Updated 4 years ago
• ksvanhorn / ART-Forum-2017-Stan-Tutorial
  Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017
  ☆57Updated 6 years ago
• tlverse / tlverse
  📦 Your One Stop to Targeted Learning in R with the tlverse
  ☆33Updated 3 years ago
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 11 years ago
• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆38Updated 4 months ago
• Amherst-Statistics / JSM2018
  Talks from the Joint Statistical Meetings 2018 (Vancouver, British Columbia)
  ☆23Updated 6 years ago
• juliasilge / intro_to_shiny
  Introduction to Shiny workshop for satRday conference
  ☆25Updated 8 years ago
• mine-cetinkaya-rundel / sta101-s16
  Course materials for Sta 101 - Spring 2016 semester at Duke University
  ☆38Updated 8 years ago
• mattblackwell / DirectEffects
  An R package for estimating controlled direct effects.
  ☆18Updated last month
• rtrangucci / mrp_2016_election
  ☆36Updated 7 years ago
• georgeberry / causal-inference-intro
  A short introduction to causal inference
  ☆28Updated 6 years ago
• rudeboybert / JSM2018_ecosystem
  JSM 2018 "An Emerging Ecosystem for Data Science/Statistics Education"
  ☆23Updated 6 years ago
• zmjones / rfss
  "Exploratory Data Analysis using Random Forests"
  ☆18Updated 9 years ago
• ledell / subsemble
  subsemble R package for ensemble learning on subsets of data
  ☆43Updated 3 years ago
• mine-cetinkaya-rundel / rstudioconf-2018-rmd-eight-ways
  Slides and materials for the "R Markdown: Eight ways" talk at rstudio::conf 2018
  ☆38Updated 7 years ago
• lindeloev / utility-theory
  Utility Theory for Dummies: An R Tutorial
  ☆19Updated 4 years ago
• tidymodels / model-implementation-principles
  recommendations for creating R modeling packages
  ☆41Updated 3 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 6 years ago
• joshuaschwab / ltmle
  Longitudinal Targeted Maximum Likelihood Estimation package
  ☆23Updated last year
• topepo / NY-ML-2018
  Materials for the Applied Machine Learning Workshop in New York
  ☆14Updated 6 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
• gasparrini / 2017_lopezbernal_IJE_codedata
  ​A tutorial on interrupted time series regression for the evaluation of public health interventions
  ☆21Updated last month
• ck37 / superlearner-guide
  SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.
  ☆37Updated 5 years ago
• IQSS / WhatIf
  WhatIf: Software for Evaluating Counterfactuals
  ☆18Updated last year
• aloy / HLMdiag
  R package providing diagnostic tools for multilevel models
  ☆17Updated 3 years ago
• jrnold / docker-stan
  Dockerfiles with rstan and CmdStan
  ☆24Updated 6 years ago
• kosukeimai / experiment
  R package experiment
  ☆14Updated 2 years ago
• saraswatmks / superml
  Build machine learning models in R like using python's scikit-learn library
  ☆32Updated last year
• LucyMcGowan / user2020-causal-inference
  ☆77Updated 4 years ago