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.

Version: 0.1.0
Depends: R (≥ 3.4.0)
Imports: Rcpp (≥ 0.12.18), survival (≥ 2.4.0)
LinkingTo: Rcpp, RcppArmadillo
Suggests: ggplot2 (≥ 3.0.0), reshape2 (≥ 1.4.3), testthat, covr, knitr, rmarkdown
Published: 2018-12-18
Author: Humza Haider
Maintainer: Humza Haider <hshaider at ualberta.ca>
BugReports: https://github.com/haiderstats/MTLR/issues
License: GPL-2 | file LICENSE
URL: https://github.com/haiderstats/MTLR
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: MTLR results

Downloads:

Reference manual: MTLR.pdf
Vignettes: Introduction to the MTLR Workflow
Package source: MTLR_0.1.0.tar.gz
Windows binaries: r-devel: MTLR_0.1.0.zip, r-release: MTLR_0.1.0.zip, r-oldrel: MTLR_0.1.0.zip
OS X binaries: r-release: MTLR_0.1.0.tgz, r-oldrel: MTLR_0.1.0.tgz

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