Alternatives and similar repositories for JM

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

• drizopoulos / JMbayes
  Joint Models for Longitudinal and Survival Data using MCMC
  ☆59Updated 4 years ago
• adibender / pammtools
  Piece-wise exponential Additive Mixed Modeling tools
  ☆51Updated last month
• sambrilleman / simjm
  Simulate Joint Longitudinal and Survival Data
  ☆15Updated 7 years ago
• graemeleehickey / joineRML
  R package for fitting joint models to time-to-event data and multivariate longitudinal data
  ☆32Updated 11 months ago
• drizopoulos / Repeated_Measurements
  Shiny App for Repeated Measurements Course
  ☆82Updated last year
• lendle / hdps
  High dimensional propensity score algorithm in R
  ☆31Updated 8 years ago
• chjackson / flexsurv
  The flexsurv R package for flexible parametric survival and multi-state modelling
  ☆64Updated last month
• sambrilleman / simsurv
  Simulate Survival Data
  ☆24Updated 4 years ago
• selective-inference / R-software
  R software for selective inference
  ☆36Updated 6 years ago
• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆41Updated 6 months ago
• kosukeimai / mediation
  R package mediation
  ☆68Updated 7 months ago
• drizopoulos / GLMMadaptive
  GLMMs with adaptive Gaussian quadrature
  ☆64Updated 10 months ago
• NErler / JointAI
  Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
  ☆28Updated last week
• tagteam / riskRegression
  R package for risk regression and prediction with censored data
  ☆54Updated last month
• romainkp / stremr
  Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
  ☆41Updated last year
• thuizhou / PSweight
  ☆28Updated last year
• Thie1e / cutpointr
  Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification
  ☆90Updated 10 months ago
• ikosmidis / brglm2
  Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction
  ☆33Updated last month
• 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…
  ☆63Updated 2 years ago
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆82Updated 2 years ago
• jmbh / mgm
  Estimation of Time-Varying k-order Mixed Graphical Models
  ☆29Updated 10 months ago
• hesim-dev / hesim
  Health economic simulation modeling and decision analysis
  ☆72Updated this week
• drizopoulos / JMbayes2
  Extended Joint Models for Longitudinal and Survival Data
  ☆94Updated last week
• rhubb / rhubb.github.io
  ☆11Updated 2 months ago
• giabaio / BCEA
  Bayesian Cost Effectiveness Analysis. Given the results of a Bayesian model (possibly based on MCMC) in the form of simulations from the …
  ☆48Updated last month
• Causal-LDA / TrialEmulation
  ☆34Updated last month
• kaz-yos / regmedint
  R implementation of effect measure modification-extended regression-based closed-formula causal mediation analysis
  ☆32Updated 2 months ago
• keaven / gsDesign
  Group sequential design for clinical trials
  ☆53Updated this week
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year
• ledell / cvAUC
  Computationally efficient confidence intervals for cross-validated AUC estimates in R
  ☆24Updated 3 years ago