Alternatives and similar repositories for Practical-Statistics

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

• ksvanhorn / ART-Forum-2017-Stan-Tutorial
  Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017
  ☆56Updated 6 years ago
• stan-dev / stan-dev.github.io
  Stan website built using Quarto, theming in repo quarto-config
  ☆23Updated last month
• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆41Updated 6 months ago
• jrnold / bayesian_notes
  ☆37Updated 4 years ago
• jjallaire / reproducible-finance-with-r
  ☆22Updated 5 years ago
• tlverse / tlverse
  📦 Your One Stop to Targeted Learning in R with the tlverse
  ☆33Updated 4 years ago
• rudeboybert / JSM2018_ecosystem
  JSM 2018 "An Emerging Ecosystem for Data Science/Statistics Education"
  ☆23Updated 7 years ago
• IQSS / WhatIf
  WhatIf: Software for Evaluating Counterfactuals
  ☆18Updated 2 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 9 months ago
• thuizhou / PSweight
  ☆28Updated last year
• Amherst-Statistics / JSM2018
  Talks from the Joint Statistical Meetings 2018 (Vancouver, British Columbia)
  ☆23Updated 7 years ago
• joshuaschwab / ltmle
  Longitudinal Targeted Maximum Likelihood Estimation package
  ☆27Updated 2 years ago
• dlab-berkeley / Unsupervised-Learning-in-R
  Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).
  ☆47Updated 5 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 9 years ago
• shftan / surfin
  Statistical Inference for Random Forests
  ☆19Updated 6 years ago
• ledell / cvAUC
  Computationally efficient confidence intervals for cross-validated AUC estimates in R
  ☆24Updated 3 years ago
• saraswatmks / superml
  Build machine learning models in R like using python's scikit-learn library
  ☆33Updated last year
• bethatkinson / rmed2019_surv
  Wrangling survival data
  ☆21Updated 6 years ago
• tidymodels / model-implementation-principles
  recommendations for creating R modeling packages
  ☆41Updated 4 years ago
• benkeser / drtmle
  Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
  ☆20Updated 3 years ago
• ayalaallon / prepdat
  Preparing Experimental Data for Statistical Analysis
  ☆16Updated 6 years ago
• ck37 / varimpact
  Variable importance through targeted causal inference, with Alan Hubbard
  ☆59Updated 2 months ago
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 11 years ago
• benkeser / survtmle
  Targeted Learning for Survival Analysis
  ☆23Updated 2 years ago
• nt-williams / cabinets
  for custom file structure templates accessible in R sessions outside the ones they were created in.
  ☆22Updated 5 years ago
• coatless-rpkg / assignr
  Tools for Educators Writing Assignments in RMarkdown
  ☆41Updated 2 years ago
• WhyR2019 / presentations
  ☆22Updated 6 years ago
• geanders / RProgrammingForResearch
  ☆76Updated 4 months ago
• dicook / nullabor
  Tools for doing statistical inference using data plots
  ☆58Updated 11 months ago