RaphaelS1 / survivalmodelsLinks
Implementations of survival models in R
☆58Updated 11 months ago
Alternatives and similar repositories for survivalmodels
Users that are interested in survivalmodels are comparing it to the libraries listed below
Sorting:
- An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative inc…☆38Updated 3 weeks ago
- Decision Curve Analysis☆41Updated 11 months ago
- Extended Joint Models for Longitudinal and Survival Data☆90Updated this week
- 🔮 Benchmarking and visualization toolkit for penalized Cox models☆43Updated 2 weeks ago
- Joint Models for Longitudinal and Survival Data using MCMC☆59Updated 4 years ago
- ☆20Updated 3 weeks ago
- ☆26Updated last week
- Survival Support Vector Analysis☆16Updated 2 months ago
- Tools for Flexible Survival Analysis Using Machine Learning☆18Updated 2 weeks ago
- ☆44Updated last year
- Causal mediation analysis in R☆26Updated 4 years ago
- Accelerated Oblique Random Survival Forests☆58Updated 3 months ago
- Package to wrangle and visualize genomic data in R☆26Updated 8 months ago
- R package lcmm☆65Updated last week
- Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification☆88Updated 3 months ago
- Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values☆28Updated last year
- This package is for visualising variable importance and variable interaction.☆23Updated 10 months ago
- Config files for my GitHub profile.☆14Updated 2 years ago
- Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially D…☆49Updated 2 years ago
- Joint Models for Longitudinal & Survival Data under Maximum Likelihood☆37Updated 11 months ago
- An R-Package to Visualize the (Causal) Effect of a Continuous Variable on a Time-To-Event Outcome☆12Updated 2 months ago
- A small wrapper package that enables full survival curve estimation using xgboost☆19Updated last year
- Datasets and scripts needed for Introduction to Regression Methods for Public Health Using R☆25Updated 8 months ago
- Parametric cure models for flexsurvreg☆16Updated 4 months ago
- QGcomp (quantile g-computation): estimating the effects of exposure mixtures. Works for continuous, binary, and right-censored survival o…☆40Updated 2 months ago
- Explainable Machine Learning in Survival Analysis☆112Updated last year
- Visualizing Prediction Model Performance☆76Updated last year
- R package for risk regression and prediction with censored data☆48Updated 3 weeks ago
- R package to plot decision curves☆28Updated 6 years ago
- This repository contains code examples for several methods in a Causal Inference in RCTs short course.☆26Updated 2 months ago