Alternatives and similar repositories for ThunderBayesR

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

• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆68Updated 5 years ago
• m-clark / models-by-example
  By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
  ☆72Updated 4 years ago
• DiogoFerrari / hdpGLM
  Hierarchical Dirichlet Process Generalized Linear Models
  ☆12Updated 9 months ago
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆15Updated 2 weeks ago
• williazo / mvGPS
  Tools for estimating causal effects for multivariate continuous exposures
  ☆13Updated 4 years ago
• randel / MixRF
  A random-forest-based approach for imputing clustered incomplete data
  ☆36Updated 8 years ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆69Updated last year
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year
• bbolker / bbmle
  maximum likelihood estimation package
  ☆25Updated 11 months ago
• refunders / refund
  Regression with functional data
  ☆49Updated last week
• romainkp / stremr
  Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
  ☆41Updated last year
• donaldRwilliams / BGGM
  Bayesian Gaussian Graphical Models
  ☆60Updated last month
• vdorie / stan4bart
  Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…
  ☆47Updated last month
• migariane / SIM-TMLE-tutorial
  Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
  ☆19Updated 5 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆84Updated 5 months ago
• sachsmc / causaloptim
  An Interface to Specify Causal Graphs and Compute Balke Bounds
  ☆22Updated 11 months ago
• xfim / ggmcmc
  Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference
  ☆112Updated 3 months ago
• vdorie / dbarts
  Discrete Bayesian Additive Regression Trees Sampler
  ☆61Updated 3 months ago
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆29Updated 8 months ago
• Larsvanderlaan / hte3
  Causal machine learning pipeline using tlverse/sl3
  ☆13Updated last month
• giabaio / survHE
  Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in…
  ☆46Updated last week
• wxwx1993 / GPSmatching
  R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…
  ☆33Updated 11 months ago
• drizopoulos / JM
  Joint Models for Longitudinal & Survival Data under Maximum Likelihood
  ☆37Updated last year
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆27Updated last year
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆82Updated last week
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆36Updated 5 years ago
• andrewcparnell / jags_examples
  A large set of JAGS examples using R
  ☆98Updated 2 years ago
• stan-dev / loo
  loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
  ☆155Updated 3 weeks ago
• ikosmidis / brglm2
  Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction
  ☆33Updated 2 months ago
• ehkennedy / npcausal
  ☆96Updated 2 years ago