Alternatives and similar repositories for tidyhte

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

• andrewheiss / bayesf22.classes.andrewheiss.com
  📊 🌐 🧑‍🏫 Website for PhD-level independent readings course on Bayesian statistics with R and Stan, built with Quarto
  ☆43Updated 3 years ago
• malcolmbarrett / causal_inference_r_workshop_solutions
  ☆28Updated 4 months ago
• pdwaggoner / dimension-reduction-CUP
  Replication files for my book "Modern Dimension Reduction"
  ☆17Updated 3 years ago
• ajnafa / Bayesian-IPW
  ☆17Updated 3 years ago
• m-clark / latent-variable-models-workshop-2019
  A workshop on latent variables models including factor analysis, PCA, SEM, etc.
  ☆15Updated 6 years ago
• andrewheiss / evalf20.classes.andrewheiss.com
  ☆15Updated 3 years ago
• r-causal / causalworkshop
  Install Workshop Materials for Causal Inference in R
  ☆24Updated 3 months 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
• 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…
  ☆21Updated 5 years ago
• malcolmbarrett / dagtex
  lightly opinionated LaTeX DAGs in R
  ☆41Updated 2 years ago
• Larsvanderlaan / hte3
  Causal machine learning pipeline using tlverse/sl3
  ☆13Updated last year
• mclements / microsimulation
  R package for microsimulation
  ☆41Updated 3 weeks ago
• r-causal / halfmoon
  Techniques to Build Better Balance in Propensity Score Models
  ☆21Updated last month
• mkearney / tidyreg
  🎓 Tidy regression tools for academics
  ☆23Updated 7 years ago
• nt-williams / mlr3superlearner
  Super learner fitting and prediction using mlr3
  ☆10Updated 10 months ago
• saudiwin / ordbetareg_pack
  Repository for R package ordbetareg, used to fit continuous data with lower and upper bounds.
  ☆21Updated 10 months ago
• chjackson / survextrap
  Survival Extrapolation With a Flexible Parametric Model and External Data
  ☆12Updated 2 weeks ago
• justingrimmer / CausalInf
  This the repository for the Spring Causal Inference Course
  ☆45Updated 6 years ago
• andrewheiss / bayesf22-notebook
  ☆18Updated 3 years ago
• ngreifer / lmw
  lmw: Linear Model Weights
  ☆11Updated last year
• robertgrant / dataviz-book
  "Data Visualization: charts, maps and interactive graphics" (the making of)
  ☆28Updated 3 years ago
• cdriveraus / ctsem
  Hierarchical continuous time state space modelling
  ☆44Updated last month
• mdneuzerling / DrakeModelling
  Combining drake workflows with R package development to train and execute a machine learning model
  ☆14Updated 5 years ago
• ArthurChatton / CausalCookbook
  ☆21Updated 11 months ago
• mkshaw / learn-mlms
  Materials for students to learn and instructors to teach multilevel modelling.
  ☆30Updated last year
• lrberge / dreamerr
  Error Handling Made Easy
  ☆28Updated 8 months ago
• jbisbee1 / BARP
  MRP - Multilevel + BART = BARP
  ☆10Updated 2 years ago
• mayer79 / flashlight
  Machine learning explanations
  ☆24Updated 2 months ago
• ajnafa / Latent-Bayesian-MSM
  Taking Uncertainty Seriously: Bayesian Marginal Structural Models for Causal Inference in Political Science
  ☆21Updated 3 years ago
• mikedecr / causal-bayes
  A paper about causal inference with Bayesian modeling
  ☆15Updated 5 years ago