Alternatives and similar repositories for JMbayes

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

• drizopoulos / JM
  Joint Models for Longitudinal & Survival Data under Maximum Likelihood
  ☆37Updated last year
• drizopoulos / JMbayes2
  Extended Joint Models for Longitudinal and Survival Data
  ☆91Updated this week
• RobinDenz1 / adjustedCurves
  An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative inc…
  ☆40Updated 3 weeks ago
• kathoffman / steroids-trial-emulation
  Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially D…
  ☆53Updated 2 years ago
• tagteam / riskRegression
  R package for risk regression and prediction with censored data
  ☆51Updated last week
• NErler / JointAI
  Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
  ☆28Updated 2 weeks ago
• adibender / pammtools
  Piece-wise exponential Additive Mixed Modeling tools
  ☆49Updated 3 weeks ago
• kosukeimai / mediation
  R package mediation
  ☆68Updated 3 months ago
• graemeleehickey / joineRML
  R package for fitting joint models to time-to-event data and multivariate longitudinal data
  ☆31Updated 7 months ago
• selective-inference / R-software
  R software for selective inference
  ☆35Updated 6 years ago
• jrdnmdhl / flexsurvcure
  Parametric cure models for flexsurvreg
  ☆16Updated 7 months ago
• Causal-LDA / TrialEmulation
  ☆30Updated last month
• ellessenne / comorbidity
  An R package for computing comorbidity scores.
  ☆84Updated last year
• 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
  ☆74Updated last month
• cwolock / survML
  Tools for Flexible Survival Analysis Using Machine Learning
  ☆18Updated last month
• Thie1e / cutpointr
  Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification
  ☆88Updated 6 months ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated 10 months ago
• sambrilleman / simjm
  Simulate Joint Longitudinal and Survival Data
  ☆15Updated 7 years ago
• BS1125 / CMAverse
  A suite of functions for reproducible causal mediation analyses
  ☆63Updated 7 months ago
• jkropko / coxed
  Duration-Based Quantities of Interest and Simulation Methods for the Cox Proportional Hazards Model
  ☆25Updated 4 years ago
• kaz-yos / regmedint
  R implementation of effect measure modification-extended regression-based closed-formula causal mediation analysis
  ☆30Updated last year
• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆41Updated 3 months ago
• sambrilleman / simsurv
  Simulate Survival Data
  ☆24Updated 4 years ago
• chjackson / msm
  The msm R package for continuous-time multi-state modelling of panel data
  ☆62Updated 2 months ago
• lendle / hdps
  High dimensional propensity score algorithm in R
  ☆30Updated 8 years ago
• kdpsingh / runway
  Visualizing Prediction Model Performance
  ☆78Updated 2 years ago
• ledell / cvAUC
  Computationally efficient confidence intervals for cross-validated AUC estimates in R
  ☆23Updated 3 years ago
• dave-harrington / survival_workshop
  Survival analysis workshop using R
  ☆53Updated 6 years ago
• jenfb / bkmr
  Bayesian kernel machine regression
  ☆60Updated 10 months ago