Alternatives and similar repositories for FlexCoDE

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

• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆36Updated 4 years ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆67Updated 4 years ago
• alexluedtke12 / pydimple
  ☆21Updated last year
• gabriuma / basis_functions_approach_to_GP
  ☆56Updated 3 years ago
• rmcelreath / cmdstan_map_rect_tutorial
  Beginner tutorial for using cmdstan with multithreading
  ☆62Updated 5 years ago
• vdorie / stan4bart
  Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…
  ☆45Updated last year
• vdorie / dbarts
  Discrete Bayesian Additive Regression Trees Sampler
  ☆59Updated this week
• lihualei71 / cfcausal
  R package cfcausal
  ☆33Updated 2 years ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 10 months ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated last month
• jtimonen / lgpr
  R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…
  ☆26Updated last month
• ssp3nc3r / rethinking
  Examples from McElreath's Statistical Rethinking, First edition coded in Stan.
  ☆50Updated 6 years ago
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆29Updated 5 months ago
• bgoodri / StanCon2020
  Material for my proposed StanCon talk
  ☆20Updated 5 years ago
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆96Updated 3 years ago
• spinkney / helpful_stan_functions
  ☆78Updated last week
• stan-dev / docs
  Documentation for the Stan language and CmdStan
  ☆41Updated last week
• Larsvanderlaan / AdaptiveDML
  Adaptive debiased machine learning of treatment effects with the highly adaptive lasso
  ☆14Updated 7 months ago
• bob-carpenter / case-studies
  Case studies in applied and computational statistics.
  ☆39Updated 5 months ago
• LaplacesDemonR / LaplacesDemon
  A complete environment for Bayesian inference within R
  ☆96Updated last year
• asael697 / bayesforecast
  Automatic forecasting and Bayesian modeling for time series with Stan
  ☆46Updated 4 months ago
• avehtari / rhat_ess
  Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
  ☆32Updated 3 years ago
• ehkennedy / npcausal
  ☆95Updated last year
• hyunjimoon / SBC
  ☆62Updated last month
• JuanLopezMartin / MRPCaseStudy
  An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.
  ☆40Updated 3 years ago
• robjhyndman / hdrcde
  Highest density regions and conditional density estimation
  ☆25Updated 2 years ago
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆82Updated 2 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆84Updated 2 months ago
• avehtari / casestudies
  ☆30Updated last year
• carloscinelli / sensemakr
  Suite of sensitivity analysis tools for OLS
  ☆95Updated 11 months ago