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
• 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
  ☆52Updated last month
• RobinDenz1 / adjustedCurves
  An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative inc…
  ☆40Updated last month
• adibender / pammtools
  Piece-wise exponential Additive Mixed Modeling tools
  ☆49Updated last week
• Causal-LDA / TrialEmulation
  ☆31Updated 2 months ago
• Thie1e / cutpointr
  Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification
  ☆89Updated 6 months ago
• kosukeimai / mediation
  R package mediation
  ☆68Updated 4 months ago
• NErler / JointAI
  Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
  ☆28Updated last month
• jrdnmdhl / flexsurvcure
  Parametric cure models for flexsurvreg
  ☆16Updated 7 months ago
• graemeleehickey / joineRML
  R package for fitting joint models to time-to-event data and multivariate longitudinal data
  ☆31Updated 8 months ago
• jkropko / coxed
  Duration-Based Quantities of Interest and Simulation Methods for the Cox Proportional Hazards Model
  ☆25Updated 4 years ago
• lendle / hdps
  High dimensional propensity score algorithm in R
  ☆30Updated 8 years ago
• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆41Updated 3 months ago
• ellessenne / comorbidity
  An R package for computing comorbidity scores.
  ☆84Updated last year
• sambrilleman / simsurv
  Simulate Survival Data
  ☆24Updated 4 years ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated 11 months ago
• chjackson / msm
  The msm R package for continuous-time multi-state modelling of panel data
  ☆62Updated 3 months ago
• selective-inference / R-software
  R software for selective inference
  ☆35Updated 6 years ago
• higgi13425 / medicaldata
  Data Package for Medical Datasets
  ☆59Updated 2 years ago
• ropensci / aorsf
  Accelerated Oblique Random Survival Forests
  ☆59Updated 6 months ago
• cwolock / survML
  Tools for Flexible Survival Analysis Using Machine Learning
  ☆18Updated 2 months ago
• AlanInglis / vivid
  This package is for visualising variable importance and variable interaction.
  ☆27Updated last month
• drizopoulos / Repeated_Measurements
  Shiny App for Repeated Measurements Course
  ☆81Updated last year
• tedwestling / survSuperLearner
  Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.
  ☆13Updated 10 months ago
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆75Updated last month
• benkeser / survtmle
  Targeted Learning for Survival Analysis
  ☆23Updated last year
• graemeleehickey / joineR
  R package for fitting joint models to time-to-event and longitudinal data
  ☆18Updated 9 months ago
• sambrilleman / simjm
  Simulate Joint Longitudinal and Survival Data
  ☆15Updated 7 years ago