Alternatives and similar repositories for comets

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

• alexluedtke12 / pydimple
  ☆22Updated last year
• yqzhong7 / AIPW
  R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effect
  ☆26Updated 6 months ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated last month
• lihualei71 / cfcausal
  R package cfcausal
  ☆33Updated 2 years ago
• Non-Contradiction / autodiffr
  Automatic Differentiation for R
  ☆23Updated 6 years ago
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆29Updated 5 months ago
• jtimonen / lgpr
  R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…
  ☆26Updated this week
• Larsvanderlaan / hte3
  Causal machine learning pipeline using tlverse/sl3
  ☆13Updated last year
• benkeser / survtmle
  Targeted Learning for Survival Analysis
  ☆23Updated last year
• nt-williams / adjrct
  Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions
  ☆11Updated 4 months ago
• joshuaschwab / ltmle
  Longitudinal Targeted Maximum Likelihood Estimation package
  ☆26Updated 2 years ago
• ropensci / dynamite
  Bayesian Inference of Complex Panel Data
  ☆35Updated 4 months ago
• romainkp / stremr
  Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
  ☆41Updated last year
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆36Updated 4 years ago
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆14Updated last month
• asael697 / bayesforecast
  Automatic forecasting and Bayesian modeling for time series with Stan
  ☆46Updated 4 months ago
• XiaoouPan / conquer
  Convolution-type Smoothed Quantile Regression
  ☆23Updated 2 years ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆27Updated 11 months ago
• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆41Updated 4 months 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
• shamindras / maars
  An R implementation of Models As Approximations
  ☆12Updated 4 years ago
• wenjie2wang / splines2
  Regression Spline Functions and Classes
  ☆44Updated 7 months ago
• vcbradley / ddc-vaccine-US
  Repo for code for "Unrepresentative Surveys Significantly Overestimate Vaccine Uptake in the US"
  ☆15Updated 3 years ago
• helske / walker
  Bayesian Generalized Linear Models with Time-Varying Coefficients
  ☆45Updated last year
• benkeser / drtmle
  Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
  ☆20Updated 2 years ago
• sambrilleman / simsurv
  Simulate Survival Data
  ☆24Updated 4 years ago
• williazo / mvGPS
  Tools for estimating causal effects for multivariate continuous exposures
  ☆13Updated 3 years ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆67Updated 5 years ago
• rtrangucci / multi_output_gps
  ☆13Updated 8 years ago
• jmbh / mgm
  Estimation of Time-Varying k-order Mixed Graphical Models
  ☆30Updated 7 months ago