Package: MTLR 0.2.1
Humza Haider
MTLR: Survival Prediction with Multi-Task Logistic Regression
An implementation of Multi-Task Logistic Regression (MTLR) for R. This package is based on the method proposed by Yu et al. (2011) which utilized MTLR for generating individual survival curves by learning feature weights which vary across time. This model was further extended to account for left and interval censored data.
Authors:
MTLR_0.2.1.tar.gz
MTLR_0.2.1.tar.gz(r-4.5-noble)MTLR_0.2.1.tar.gz(r-4.4-noble)
MTLR_0.2.1.tgz(r-4.4-emscripten)MTLR_0.2.1.tgz(r-4.3-emscripten)
MTLR.pdf |MTLR.html✨
MTLR/json (API)
NEWS
| # Install 'MTLR' in R: |
| install.packages('MTLR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/haiderstats/mtlr/issues
Last updated 5 years agofrom:bf6078aa87. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 26 2024 |
| R-4.5-linux-x86_64 | OK | Oct 26 2024 |
Exports:create_foldsmtlrmtlr_cvplotcurves
Dependencies:latticeMatrixRcppRcppArmadillosurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Create folds for cross-validation. | create_folds |
| Train a Multi-Task Logistic Regression (MTLR) Model | mtlr |
| MTLR Internal Cross-Validation for Selecting C1. | mtlr_cv |
| Graphical Representation of Feature Weights | plot.mtlr |
| Graphically Visualize MTLR Survival Curves | plotcurves |
| Predictions for MTLR | predict.mtlr |
| Printing an MTLR object. | print.mtlr |