Alternatives and similar repositories for Lectures

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

• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆59Updated 7 months ago
• JB-Statistical-Consulting / biostatistics
  Biostatistics resources : reading list, RMarkdown notebooks, and more!
  ☆74Updated last month
• dave-harrington / survival_workshop
  Survival analysis workshop using R
  ☆52Updated 5 years ago
• FJRubio67 / StatisticalInference
  Lecture Notes on Statistical Inference
  ☆76Updated 7 months ago
• bayesianops / stan-survival-model-workshop
  Building a Survival Model in Stan.
  ☆57Updated last year
• RuBBiT-hj / causalBETA
  Development for Bayesian Survival Models Package
  ☆19Updated 4 months ago
• robjhyndman / weird
  That's weird: Anomaly detection using R
  ☆42Updated 5 months ago
• ModelOriented / hstats
  Friedman's H-statistics
  ☆30Updated 3 weeks ago
• bayes-rules / bayesrules
  📦 R package for Supplemental Materials for the Bayes Rules! Book
  ☆72Updated 3 years ago
• FarrellDay / miceRanger
  miceRanger: Fast Imputation with Random Forests in R
  ☆69Updated 2 years ago
• bgreenwell / fastshap
  Fast approximate Shapley values in R
  ☆122Updated last week
• chelseaparlett / CPSC393ParlettPelleriti
  ☆107Updated last year
• julianfaraway / rexamples
  worked R examples
  ☆113Updated 7 months ago
• agnesdeng / mixgb
  mixgb: multiple imputation through XGBoost
  ☆23Updated 3 weeks ago
• migariane / TutorialCausalInferenceEstimators
  Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial
  ☆38Updated 4 years ago
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆79Updated last year
• mayer79 / ml_lecture
  intro to ML
  ☆28Updated 3 months ago
• kpjmcg / Statistical-Rethinking-2023-Python-Notes
  Lecture notes and python code to replicate models built throughout the course of Richard Mcelreath's 2023 Lecture Series 'Statistical Ret…
  ☆72Updated last year
• stephenbates19 / nestedcv
  Nested cross-validation for accurate confidence intervals for prediction error.
  ☆41Updated 2 years ago
• RamiKrispin / Introduction-to-JavaScript
  Introduction to JavaScript - math operations, variables, functions, objects, etc.
  ☆18Updated 2 years ago
• skdeshpande91 / VCBART
  R implementation of VCBART
  ☆21Updated last year
• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆75Updated 4 years ago
• ModelOriented / treeshap
  Compute SHAP values for your tree-based models using the TreeSHAP algorithm
  ☆88Updated 10 months ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆62Updated 4 years ago
• matloff / FarewellAddress
  ☆22Updated 2 years ago
• yqzhong7 / AIPW
  R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effect
  ☆26Updated 2 months ago
• robjhyndman / forecasting_workshop
  ☆16Updated last year
• flyaflya / causact
  causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their o…
  ☆47Updated 4 months ago
• adrianolszewski / Logistic-regression-is-regression
  Despite the popular yet wrong claim that logistic regression "is not a regression", it's one of the key regression and hypothesis testing…
  ☆29Updated 2 months ago
• ModelOriented / fairmodels
  Flexible tool for bias detection, visualization, and mitigation
  ☆86Updated 4 months ago