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…
  ☆30Updated 2 months ago
• tedwestling / CFsurvival
  R package for nonparametric estimation of counterfactual survival functions and survival contrasts from right-censored data with an obser…
  ☆10Updated last year
• GerkeLab / mediator
  Causal mediation analysis in R
  ☆26Updated 4 years ago
• imbs-hl / survivalsvm
  Survival Support Vector Analysis
  ☆16Updated last month
• cwolock / survML
  Tools for Flexible Survival Analysis Using Machine Learning
  ☆18Updated last week
• friendly / candisc
  Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis
  ☆16Updated this week
• tlverse / causalglm
  Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…
  ☆24Updated 3 years ago
• sambrilleman / simsurv
  Simulate Survival Data
  ☆23Updated 4 years ago
• mneunhoe / RGAN
  ☆19Updated last year
• dhaine / episensr
  Basic sensitivity analysis of epidemiological results in R: Moved to codeberg.org/dhaine/episensr
  ☆13Updated 3 weeks ago
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆65Updated last week
• scheike / timereg
  timereg R package, survival analysis methods
  ☆31Updated 8 months ago
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆13Updated last year
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated 3 months ago
• adibender / pammtools
  Piece-wise exponential Additive Mixed Modeling tools
  ☆49Updated last week
• williazo / mvGPS
  Tools for estimating causal effects for multivariate continuous exposures
  ☆13Updated 3 years ago
• jkropko / coxed
  Duration-Based Quantities of Interest and Simulation Methods for the Cox Proportional Hazards Model
  ☆25Updated 4 years ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 5 months ago
• alexzwanenburg / familiar
  Repository for the familiar R-package. Familiar implements an end-to-end pipeline for interpretable machine learning of tabular data.
  ☆30Updated this week
• pat-s / 2019-feature-selection
  Research project
  ☆27Updated 3 years ago
• vdorie / blme
  Bayesian Linear Mixed Effect Models
  ☆44Updated 2 months ago
• tlverse / hal9001
  🤠 📿 The Highly Adaptive Lasso
  ☆50Updated 5 months ago
• kcf-jackson / maniTools
  R package: Manifold learning in R
  ☆13Updated 5 years ago
• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆39Updated 5 months ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆69Updated 9 months ago
• tlverse / tlverse
  📦 Your One Stop to Targeted Learning in R with the tlverse
  ☆33Updated 3 years ago
• RobinDenz1 / adjustedCurves
  An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative inc…
  ☆37Updated this week
• RobinDenz1 / contsurvplot
  An R-Package to Visualize the (Causal) Effect of a Continuous Variable on a Time-To-Event Outcome
  ☆12Updated last month
• pbreheny / grpreg
  Regularization paths for regression models with grouped covariates
  ☆34Updated 2 months ago
• ropensci / aorsf
  Accelerated Oblique Random Survival Forests
  ☆58Updated last month