Alternatives and similar repositories for postpi

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

• wxwx1993 / GPSmatching
  R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…
  ☆31Updated 7 months ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated 10 months ago
• randel / MixRF
  A random-forest-based approach for imputing clustered incomplete data
  ☆35Updated 8 years ago
• vdorie / stan4bart
  Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…
  ☆43Updated last year
• adibender / pammtools
  Piece-wise exponential Additive Mixed Modeling tools
  ☆49Updated last month
• m-clark / generalized-additive-models
  A document introducing generalized additive models.📈
  ☆82Updated last year
• MIDASverse / rMIDAS
  R package for missing-data imputation with deep learning
  ☆34Updated last year
• saberpowers / causalLearning
  Methods for heterogeneous treatment effect estimation
  ☆24Updated 3 years ago
• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆41Updated 3 months ago
• drizopoulos / JMbayes
  Joint Models for Longitudinal and Survival Data using MCMC
  ☆59Updated 4 years ago
• jkropko / coxed
  Duration-Based Quantities of Interest and Simulation Methods for the Cox Proportional Hazards Model
  ☆25Updated 4 years ago
• pat-s / 2019-feature-selection
  Research project
  ☆27Updated 3 years ago
• selective-inference / R-software
  R software for selective inference
  ☆35Updated 6 years ago
• tsrobinson / cjbart
  Heterogeneous effects analysis of conjoint experiments using BART
  ☆10Updated 2 years ago
• AlanInglis / vivid
  This package is for visualising variable importance and variable interaction.
  ☆27Updated 3 weeks ago
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆75Updated last month
• ck37 / varimpact
  Variable importance through targeted causal inference, with Alan Hubbard
  ☆58Updated last week
• sumbose / iRF
  iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features
  ☆48Updated 4 years ago
• imbs-hl / survivalsvm
  Survival Support Vector Analysis
  ☆16Updated 5 months ago
• liuyanguu / SHAPforxgboost
  SHAP (SHapley Additive exPlnation) visualization for 'XGBoost' in 'R'
  ☆123Updated last year
• dhaine / episensr
  Basic sensitivity analysis of epidemiological results in R: Moved to codeberg.org/dhaine/episensr
  ☆13Updated 5 months ago
• ledell / cvAUC
  Computationally efficient confidence intervals for cross-validated AUC estimates in R
  ☆23Updated 3 years ago
• tedwestling / CFsurvival
  R package for nonparametric estimation of counterfactual survival functions and survival contrasts from right-censored data with an obser…
  ☆11Updated 2 years ago
• goldingn / gpe
  Gaussian process everything - an R package to reimplement and combine common statistical models using GPs
  ☆27Updated 7 years ago
• cran / mgcv
   This is a read-only mirror of the CRAN R package repository. mgcv — Mixed GAM Computation Vehicle with Automatic Smoothness Estimation …
  ☆32Updated 5 months ago
• tlverse / tlverse
  📦 Your One Stop to Targeted Learning in R with the tlverse
  ☆33Updated 3 years ago
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 11 years ago
• thuizhou / PSweight
  ☆26Updated last year
• JiajinChen / shinyBN
  shinyBN: An online application for interactive Bayesian network inference and visualization
  ☆46Updated 3 years ago
• lindeloev / mcp
  Regression with Multiple Change Points
  ☆116Updated 11 months ago