RaphaelS1 / survivalmodels
Implementations of survival models in R
☆58Updated 8 months ago
Alternatives and similar repositories for survivalmodels:
Users that are interested in survivalmodels are comparing it to the libraries listed below
- 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☆40Updated 7 months ago
- 🔮 Benchmarking and visualization toolkit for penalized Cox models☆44Updated 6 months ago
- Joint Models for Longitudinal and Survival Data using MCMC☆60Updated 4 years ago
- Extended Joint Models for Longitudinal and Survival Data☆84Updated last week
- ☆25Updated this week
- Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values☆28Updated 11 months ago
- Causal mediation analysis in R☆26Updated 4 years ago
- Code repository for the manuscript: 'Assessing performance in prediction models with survival outcomes: practical guidance for Cox propor…☆29Updated 5 months ago
- Flexible mediation analysis using natural effect models in R☆23Updated last year
- Survival Support Vector Analysis☆16Updated 6 years ago
- Explainable Machine Learning in Survival Analysis☆110Updated 8 months ago
- An R-Package to Visualize the (Causal) Effect of a Continuous Variable on a Time-To-Event Outcome☆12Updated last year
- R package to plot decision curves☆28Updated 6 years ago
- A small wrapper package that enables full survival curve estimation using xgboost☆19Updated 8 months ago
- Gateway to Aging: Spousal Concordance☆10Updated last year
- Collection of search spaces for hyperparameter optimization in the mlr3 ecosystem☆13Updated 3 months ago
- ☆18Updated 2 years ago
- Tools for Flexible Survival Analysis Using Machine Learning☆16Updated this week
- Config files for my GitHub profile.☆14Updated last year
- This package is for visualising variable importance and variable interaction.☆21Updated 7 months ago
- Datasets and scripts needed for Introduction to Regression Methods for Public Health Using R☆25Updated 5 months ago
- ☆17Updated last month
- We used different machine learning approaches to build models for detecting and visualizing important prognostic indicators of breast can…☆13Updated 4 years ago
- Revised functions of the R packages crimCV and traj☆20Updated 3 years ago
- QGcomp (quantile g-computation): estimating the effects of exposure mixtures. Works for continuous, binary, and right-censored survival o…☆37Updated this week
- R package lcmm☆62Updated last month
- Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification☆88Updated 3 months ago
- Accelerated Oblique Random Survival Forests☆58Updated 2 weeks ago
- ☆42Updated last year