Alternatives and similar repositories for maddison

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

• andrewheiss / evalf20.classes.andrewheiss.com
  ☆15Updated 3 years ago
• expersso / gesis
  R Client for GESIS Data Catalogue (DBK)
  ☆14Updated 6 years ago
• fsolt / icpsrdata
  Reproducible data downloads from the ICPSR data archive
  ☆19Updated 2 years ago
• saudiwin / panelsim
  Simulation and power analysis of panel/hierarchical data that allows for independently generating effects by cross-section (between-subje…
  ☆18Updated 4 months ago
• leeper / surveycourse
  Course materials for seminar on survey research methods
  ☆12Updated 7 years ago
• malcolmbarrett / causal_inference_r_workshop_solutions
  ☆27Updated last month
• svmiller / post8000
  POST 8000 (Foundations of Social Science Research for Public Policy) is a class I teach at Clemson University
  ☆10Updated 4 years ago
• andrewheiss / who-cares-about-crackdown
  📊 📄 Suparna Chaudhry, Marc Dotson, and Andrew Heiss, "Who Cares About Crackdowns? Exploring the Role of Trust in Individual Philanthrop…
  ☆26Updated 4 years ago
• andrewheiss / cautioning-canary
  ☆10Updated 3 years ago
• jrnold / qss-tidy
  tidyverse code for QSS
  ☆37Updated 5 years ago
• njtierney / mputr
  Package for handling multiple imputations in a tidy format
  ☆12Updated 6 years ago
• mattblackwell / inters
  Tools for estimating interactions
  ☆14Updated 2 years ago
• verenakunz / Causal-Inference-for-Beginning-Undergraduates
  An introductory course on causal inference. Designed for undergraduate students with only a working knowledge of R and multiple regressio…
  ☆20Updated 5 years ago
• andrewheiss / closing-backdoors-dags
  Use regression, inverse probability weighting, and matching to close confounding backdoors and find causation in observational data
  ☆14Updated 5 years ago
• skolenik / svyset_manifesto
  How to specify survey settings
  ☆11Updated 5 years ago
• bgreenwell / MLDay18
  Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18
  ☆15Updated 7 years ago
• mkearney / tidyreg
  🎓 Tidy regression tools for academics
  ☆23Updated 7 years ago
• gelman / mrp
  multilevel regression and poststratification
  ☆24Updated 11 years ago
• andrewheiss / heiss-causal-inference
  Chapter on causal inference for *R for Political Data Science: A Practical Guide*
  ☆42Updated 4 years ago
• alexpghayes / linear-probability-model
  meme heavy slides on the linear probability model
  ☆10Updated 5 years ago
• andrewheiss / ath-hugo
  Code and content for andrewheiss.com
  ☆27Updated 2 years ago
• pachadotdev / eflm
  See pacha.dev/capybara for a much better GLM implementation. Efficient Fitting of Linear and Generalized Linear Models by using just base…
  ☆19Updated last year
• richardli / SUMMER
  SAE Unit/area Models and Methods for Estimation in R
  ☆23Updated 3 weeks ago
• mikedecr / causal-bayes
  A paper about causal inference with Bayesian modeling
  ☆15Updated 5 years ago
• gastonstat / tutorial-R-web-data
  Introduction to getting data from the web with R
  ☆25Updated 5 years ago
• CoryMcCartan / easycensus
  Quickly Extract and Marginalize U.S. Census Tables
  ☆16Updated 7 months ago
• ljanastas / UGA_POLS-8500-Machine-Learning-Text-Analysis
  This is a repository for R code lecture notes for the Fall 2019 version of POLS 8500 on text analysis and machine learning for the social…
  ☆21Updated 3 years ago
• JosepER / Book_How_to_weight_a_survey
  This is an introductory guide to survey weighting. It provides a step-by-step walkthrough of the main procedures and explains the statist…
  ☆39Updated 7 years ago
• CJFariss / R-Program-Challenges
  R Program Challenges for my Essex graduate summer school course and my University of Michigan undergraduate data science course.
  ☆16Updated 2 months ago
• noamross / reprotemplate
  A template for reproducible R projects using targets, renv, Docker, and GitHub Actions
  ☆25Updated 4 years ago