Alternatives and similar repositories for statistical_inferences

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

• rmcelreath / stat_rethinking_2025
  ☆173Updated 10 months ago
• rmcelreath / causal_salad_2021
  One day course on causal inference, MPI-EVA 9 September 2021
  ☆250Updated 3 years ago
• chelseaparlett / CPSC392ParlettPelleriti
  ☆176Updated last year
• royal-statistical-society / datavisguide
  Introductory guide to the art and science of data visualisation. Insights, advice, and examples (with code) to make data outputs more rea…
  ☆164Updated last year
• vincentarelbundock / marginaleffects
  R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 clas…
  ☆579Updated last week
• z3tt / beyond-bar-and-box-plots
  Slides, recording and hands-on tutorial for the USGS Data Science webinar
  ☆232Updated 2 years ago
• jorvlan / open-visualizations
  Visualizations based on best open science practices.
  ☆245Updated last year
• statsthinking21 / statsthinking21-core
  Core statistical text for Statistical Thinking in the 21st Century
  ☆147Updated 8 months ago
• rmcelreath / stat_rethinking_2026
  Statistical Rethinking Course 2026
  ☆277Updated last week
• Joscelinrocha / resouRces
  Here you can find a list of resources that have and continue helping me in my process of learning/ teaching R.
  ☆200Updated 5 months ago
• vasishth / bayescogsci
  Introduction to Bayesian Data Analysis for Cognitive Science by Nicenboim, Schad, Vasishth
  ☆99Updated 11 months ago
• rmcelreath / PhD_planning_template
  Outline for planning PhD projects
  ☆116Updated 5 years ago
• lindeloev / tests-as-linear
  Common statistical tests are linear models (or: how to teach stats)
  ☆507Updated last year
• kathoffman / causal-inference-visual-guides
  A collection of visual guides to help applied scientists learn causal inference.
  ☆292Updated 3 years ago
• mkfreeman / hierarchical-models
  A Visual Introduction to Hierarchical Modeling
  ☆293Updated 5 years ago
• proback / BeyondMLR
  Repo for January 2021 version of Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R. The re…
  ☆181Updated 2 years ago
• statsthinking21 / statsthinking21
  Main web site for Statistical Thinking for the 21st Century
  ☆111Updated 2 years ago
• r-causal / causal-inference-in-R
  Causal Inference in R: A book!
  ☆236Updated this week
• dustinfife / flexplot
  flexplot: graphical data analysis
  ☆95Updated 2 months ago
• julianfaraway / rexamples
  worked R examples
  ☆120Updated last year
• RohanAlexander / tswd
  Telling Stories with Data
  ☆140Updated 7 months ago
• avehtari / ROS-Examples
  Regression and other stories R examples
  ☆350Updated 8 months ago
• ASKurz / Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse_2_ed
  The ebook lives here:
  ☆135Updated this week
• aaronpeikert / reproducible-research
  A Reproducible Data Analysis Workflow with R Markdown, Git, Make, and Docker
  ☆130Updated 3 years ago
• wjschne / apaquarto
  A quarto extension for creating APA7 documents in .docx, .html, and .pdf formats
  ☆230Updated 3 weeks ago
• dcosme / specification-curves
  Tutorial on Specification Curve Analysis for dev brown bag, May 2019
  ☆22Updated 3 years ago
• andrewheiss / hikmah-academic-quarto
  A set of nice Quarto templates
  ☆264Updated 8 months ago
• MatsuuraKentaro / Bayesian_Statistical_Modeling_with_Stan_R_and_Python
  Kentaro Matsuura (2022). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.
  ☆141Updated 11 months ago
• arcaldwell49 / Superpower
  Simulation-Based Power Analysis
  ☆68Updated 3 months ago
• easystats / effectsize
  Compute and work with indices of effect size and standardized parameters
  ☆347Updated 2 weeks ago