Alternatives and similar repositories for Lectures

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

• agnesdeng / mixgb
  mixgb: multiple imputation through XGBoost
  ☆26Updated 3 weeks ago
• RuBBiT-hj / causalBETA
  Development for Bayesian Survival Models Package
  ☆19Updated 7 months ago
• ArthurChatton / CausalCookbook
  ☆21Updated last year
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year
• dave-harrington / survival_workshop
  Survival analysis workshop using R
  ☆53Updated 6 years ago
• migariane / TutorialCausalInferenceEstimators
  Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial
  ☆39Updated 5 years ago
• FarrellDay / miceRanger
  miceRanger: Fast Imputation with Random Forests in R
  ☆70Updated 3 years ago
• ModelOriented / hstats
  Friedman's H-statistics
  ☆33Updated last month
• JB-Statistical-Consulting / biostatistics
  Biostatistics resources : reading list, RMarkdown notebooks, and more!
  ☆81Updated 4 months ago
• cran-task-views / CausalInference
  CRAN Task View: Causal Inference
  ☆18Updated last month
• robjhyndman / forecasting_workshop
  ☆16Updated 2 years ago
• bayesianops / stan-survival-model-workshop
  Building a Survival Model in Stan.
  ☆57Updated 2 years ago
• malcolmbarrett / causal_inference_notebook
  R Code for Causal Inference by Hernán and Robins
  ☆22Updated 4 years ago
• bayes-rules / bayesrules
  📦 R package for Supplemental Materials for the Bayes Rules! Book
  ☆73Updated 3 weeks ago
• ModelOriented / treeshap
  Compute SHAP values for your tree-based models using the TreeSHAP algorithm
  ☆93Updated last week
• vdorie / stan4bart
  Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…
  ☆47Updated 2 months ago
• frankiethull / Practical-Guide-to-Applied-Conformal-Prediction-in-R
  Supplemental R Examples on Applied Conformal Prediction. These examples follow Practical Guide to Applied Conformal Prediction in Python,…
  ☆44Updated 2 years ago
• helenecharlotte / TMLE-course
  ☆17Updated 8 months ago
• drizopoulos / JMbayes2
  Extended Joint Models for Longitudinal and Survival Data
  ☆96Updated this week
• julianfaraway / rexamples
  worked R examples
  ☆120Updated last year
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated 5 months ago
• MIDASverse / rMIDAS
  R package for missing-data imputation with deep learning
  ☆36Updated 2 years ago
• robjhyndman / fpp3_slides
  Slides to accompany Forecasting: Principles and Practice, 3rd edition
  ☆79Updated last year
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆80Updated 2 weeks ago
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆82Updated 2 weeks ago
• NErler / JointAI
  Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
  ☆29Updated last week
• forestry-labs / causalToolbox
  ☆48Updated 3 years ago
• vcbradley / ddc-vaccine-US
  Repo for code for "Unrepresentative Surveys Significantly Overestimate Vaccine Uptake in the US"
  ☆15Updated 4 years ago
• Novartis / Causal-inference-in-RCTs
  This repository contains code examples for several methods in a Causal Inference in RCTs short course.
  ☆26Updated 6 months ago
• matloff / FarewellAddress
  ☆23Updated 2 years ago