Alternatives and similar repositories for bsynth

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

• google / causalexpanalysis
  Causal and Experiment Analysis
  ☆20Updated 3 years ago
• cbergmeir / Rlgt
  Rlgt is an R package for Bayesian Exponential Smoothing
  ☆22Updated 2 months ago
• google / empirical_calibration
  ☆44Updated last year
• vdorie / dbarts
  Discrete Bayesian Additive Regression Trees Sampler
  ☆59Updated 3 months ago
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆43Updated 2 years ago
• Larsvanderlaan / AdaptiveDML
  Adaptive debiased machine learning of treatment effects with the highly adaptive lasso
  ☆14Updated 4 months ago
• williazo / mvGPS
  Tools for estimating causal effects for multivariate continuous exposures
  ☆13Updated 3 years ago
• s3alfisc / fwildclusterboot
  Fast Wild Cluster Bootstrap Inference for Regression Models / OLS in R. Additionally, R port to WildBootTests.jl via the JuliaConnectoR.
  ☆28Updated 11 months ago
• carloscinelli / dml.sensemakr
  Sensitivity analysis tools for causal ML
  ☆17Updated last month
• bnaras / cvxr_tutorial
  useR! 2019 CVXR tutorial
  ☆28Updated 2 years ago
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆29Updated last month
• ropensci / dynamite
  Bayesian Inference of Complex Panel Data
  ☆34Updated 3 weeks ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated last year
• mayer79 / flashlight
  Machine learning explanations
  ☆23Updated 3 months ago
• alexpghayes / quarto-blog
  source code for personal website and blog
  ☆12Updated 3 weeks ago
• FMenchetti / CausalMBSTS
  ☆16Updated 3 years ago
• google / abpackage
  An R package for AB testing leveraging pre-period information
  ☆67Updated 5 years ago
• google / MAB
  R package for Multi-Armed Bandit Simulation Study
  ☆37Updated 7 years ago
• faosorios / fastmatrix
  Fast computation of some matrices useful in statistics
  ☆19Updated last week
• asael697 / bayesforecast
  Automatic forecasting and Bayesian modeling for time series with Stan
  ☆46Updated last month
• atsa-es / atsar
  Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.
  ☆48Updated last year
• ModelOriented / EMMA
  Evaluation of Methods for dealing with Missing data in Machine Learning algorithms
  ☆23Updated 4 years ago
• itamarcaspi / EconML-with-R
  How to use EconML within R
  ☆12Updated 5 years ago
• pachadotdev / cpp11armadillo
  The idea is to pass matrices/vectors from R to C++, write pure C++/Armadillo code for the computation, and then export the result back to…
  ☆13Updated this week
• ModelOriented / xspliner
  Explain black box with GLM
  ☆23Updated 5 years ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆32Updated 2 years ago
• robjhyndman / forecasting_workshop
  ☆16Updated 2 years ago
• eddelbuettel / rcppfastad
  Rcpp Bindings to FastAD Automatic Differentiation
  ☆11Updated 2 months ago
• vdorie / stan4bart
  Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…
  ☆43Updated 10 months ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆80Updated 10 months ago