anthonydevaux / DynForestLinks
Random forest with multivariate longitudinal predictors
☆17Updated last week
Alternatives and similar repositories for DynForest
Users that are interested in DynForest are comparing it to the libraries listed below
Sorting:
- Extended Joint Models for Longitudinal and Survival Data☆94Updated last week
- An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative inc…☆41Updated 3 months ago
- Flexible mediation analysis using natural effect models in R☆25Updated 2 years ago
- R package for nonparametric estimation of counterfactual survival functions and survival contrasts from right-censored data with an obser…☆13Updated 2 years ago
- Joint Models for Longitudinal and Survival Data using MCMC☆59Updated 4 years ago
- R package lcmm☆71Updated last month
- Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially D…☆62Updated 2 years ago
- Tools for Flexible Survival Analysis Using Machine Learning☆18Updated 4 months ago
- The msm R package for continuous-time multi-state modelling of panel data☆63Updated 4 months ago
- R package for risk regression and prediction with censored data☆53Updated 2 weeks ago
- R package mediation☆69Updated 5 months ago
- A suite of functions for reproducible causal mediation analyses☆65Updated 9 months ago
- Collection of search spaces for hyperparameter optimization in the mlr3 ecosystem☆14Updated 3 months ago
- heterogeneous treatment effect estimation with causal forests☆12Updated 2 years ago
- An S4 class for functional data in R☆14Updated last year
- ☆31Updated last week
- ☆17Updated 2 months ago
- R package that simulates data suitable for fitting Marginal Structural Model.☆13Updated 3 years ago
- Causal mediation analysis in R☆29Updated 4 years ago
- Regularization paths for regression models with grouped covariates☆35Updated 3 months ago
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆14Updated 2 months ago
- R software for selective inference☆35Updated 6 years ago
- Bayesian kernel machine regression☆61Updated last year
- Joint Models for Longitudinal & Survival Data under Maximum Likelihood☆37Updated last year
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆27Updated last year
- Causal machine learning pipeline using tlverse/sl3☆13Updated last year
- Non-parametric Causal Effects Based on Modified Treatment Policies☆75Updated last month
- Parametric cure models for flexsurvreg☆16Updated 9 months ago
- Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.☆14Updated 11 months ago
- Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values☆28Updated last week