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:	0.2.1
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, vdiffr (≥ 0.3.0), covr, knitr, rmarkdown
Published:	2019-06-03
DOI:	10.32614/CRAN.package.MTLR
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

Documentation:

Reference manual:	MTLR.html , MTLR.pdf
Vignettes:	Introduction to the MTLR Workflow (source, R code)

Downloads:

Package source:	MTLR_0.2.1.tar.gz
Windows binaries:	r-devel: MTLR_0.2.1.zip, r-release: MTLR_0.2.1.zip, r-oldrel: MTLR_0.2.1.zip
macOS binaries:	r-release (arm64): MTLR_0.2.1.tgz, r-oldrel (arm64): MTLR_0.2.1.tgz, r-release (x86_64): MTLR_0.2.1.tgz, r-oldrel (x86_64): MTLR_0.2.1.tgz
Old sources:	MTLR archive

Reverse dependencies:

Reverse imports:

CPSM

Linking:

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