Alternatives and similar repositories for IntroductiontoMachineLearning

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

• johnson-shuffle / mixtape-code
  Code for Causal Inference: The Mixtape by Scott Cunningham
  ☆27Updated 6 years ago
• kolesarm / Robust-Small-Sample-Standard-Errors
  Degrees of freedom adjustments for robust standard errors described in Imbens and Kolesár (2016, Review of Economics and Statistics)
  ☆31Updated 6 months ago
• andrewheiss / closing-backdoors-dags
  Use regression, inverse probability weighting, and matching to close confounding backdoors and find causation in observational data
  ☆13Updated 5 years ago
• grantmcdermott / ds4e
  Data Science for Economists and Other Animals
  ☆28Updated 3 years ago
• markmfredrickson / RItools
  Randomization inference tools for R
  ☆17Updated last month
• saudiwin / panelsim
  Simulation and power analysis of panel/hierarchical data that allows for independently generating effects by cross-section (between-subje…
  ☆18Updated last month
• andrewheiss / heiss-causal-inference
  Chapter on causal inference for *R for Political Data Science: A Practical Guide*
  ☆42Updated 4 years ago
• fhollenbach / did_compare
  R-code to compare some staggered did methods
  ☆26Updated 3 years ago
• insongkim / wfe
  ☆20Updated 5 years ago
• andrewheiss / evalf20.classes.andrewheiss.com
  ☆15Updated 3 years ago
• haghish / machinelearning
  a Stata module for machine learning (ML) algorithms, implemented within R using rcall package
  ☆10Updated 2 years ago
• svmiller / post8000
  POST 8000 (Foundations of Social Science Research for Public Policy) is a class I teach at Clemson University
  ☆10Updated 4 years ago
• egap / theory_and_practice_of_field_experiments
  'Caramba y zamba la cosa, que vivan los experimentos!' -from 'Me Gustan Los Estudiantes' by Violeta Parra
  ☆10Updated 10 months ago
• lrberge / fplot
  Nice distribution plots with minimum user input
  ☆17Updated last year
• edrubin / EC524W22
  Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2022) Taug…
  ☆20Updated 3 years ago
• egap / methods-guides
  EGAP methods guides
  ☆21Updated 10 months ago
• xuyiqing / interflex
  Multiplicative Interaction Models Diagnostics and Visualization, Producing Flexible Marginal Effect Estimates
  ☆37Updated 2 weeks ago
• expersso / BIS
  Programmatic access to BIS data
  ☆18Updated 7 years ago
• stan-dev / statastan
  Stata interface for Stan.
  ☆22Updated 4 years ago
• MatthieuStigler / RDDtools
  R package for Regresssion Design Discontinuity
  ☆37Updated last year
• grantmcdermott / skeptic-priors
  Code and data for "Skeptic priors and climate consensus" (McDermott, 2021)
  ☆19Updated 3 years ago
• tslocz / hettreatreg
  OLS Weights on Heterogeneous Treatment Effects
  ☆10Updated 5 years ago
• m-freitag / cjpowR
  A Priori Power Analyses for Conjoint Experiments
  ☆20Updated last year
• brentonk / psci8357
  PSCI 8357: Statistics for Political Research II
  ☆9Updated 9 years ago
• RobertMyles / IRT
  IRT ideal point models in R using Stan
  ☆24Updated 6 years ago
• mattblackwell / DirectEffects
  An R package for estimating controlled direct effects.
  ☆18Updated 4 months ago
• bcastanho / SCtools
  This package is a work in progress compiling functions to make it easier running placebo in time tests with synthetic control models and …
  ☆13Updated last year
• acoppock / ri2
  Randomization Inference for Randomized Experiments
  ☆12Updated 10 months 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 last month
• expersso / maddison
  Maddison Project Database
  ☆10Updated 2 weeks ago