Alternatives and similar repositories for FDA_tutorial

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

• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆67Updated 5 years ago
• bayesianops / stan-survival-model-workshop
  Building a Survival Model in Stan.
  ☆57Updated 2 years ago
• cran-task-views / CausalInference
  CRAN Task View: Causal Inference
  ☆17Updated 2 weeks ago
• ArthurChatton / CausalCookbook
  ☆21Updated 9 months ago
• atsa-es / MARSS
  Multivariate Autoregressive State-Space Modeling with R
  ☆53Updated last month
• pzivich / publications-code
  Publicly available code from my publications 📝
  ☆17Updated 2 weeks ago
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆29Updated 5 months ago
• migariane / TutorialCausalInferenceEstimators
  Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial
  ☆39Updated 4 years ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 11 months ago
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆14Updated last month
• refunders / refund
  Regression with functional data
  ☆48Updated 10 months ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated last month
• forestry-labs / causalToolbox
  ☆47Updated 2 years ago
• MatsuuraKentaro / Bayesian_Statistical_Modeling_with_Stan_R_and_Python
  Kentaro Matsuura (2022). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.
  ☆140Updated 8 months ago
• FJRubio67 / BVSSurv
  Bayesian variable selection for survival data (tutorial)
  ☆15Updated 4 months ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆48Updated last year
• CBDRH / daggle
  The daggle app—a tool to support learning and teaching the graphical rules of selecting adjustment variables using directed acyclic graph…
  ☆23Updated last year
• hagijyun / Time_Series_Analysis_4SSM_R_Stan
  Time Series Analysis for the State-Space Model with R/Stan
  ☆24Updated 4 years ago
• eleanormurray / causalgraphs_latex
  Drawing graphical models for causal inference using LaTeX
  ☆118Updated 2 years ago
• helenecharlotte / TMLE-course
  ☆17Updated 5 months ago
• remlapmot / cibookex-r
  Causal Inference: What If. R and Stata code for Exercises
  ☆90Updated 4 months ago
• joonho112 / Bayesian-causal-inference
  Tutorials on Stan for Bayesian causal inference
  ☆19Updated 4 months ago
• ajnafa / Bayesian-IPW
  ☆17Updated 3 years ago
• wxwx1993 / GPSmatching
  R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…
  ☆31Updated 8 months ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year
• helske / bssm
  Bayesian Inference of State Space Models
  ☆46Updated last month
• ModelOriented / hstats
  Friedman's H-statistics
  ☆31Updated 2 weeks ago
• carloscinelli / sensemakr
  Suite of sensitivity analysis tools for OLS
  ☆95Updated 11 months ago
• functionaldata / tPACE
  Testing version of fdapace
  ☆32Updated last year
• mikenguyen13 / data_analysis
  Streamline a data analysis process
  ☆83Updated last week