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MTLR  

Survival Prediction with Multi-Task Logistic Regression
View on CRAN: Click here


Download and install MTLR package within the R console
Install from CRAN:
install.packages("MTLR")

Install from Github:
library("remotes")
install_github("cran/MTLR")

Install by package version:
library("remotes")
install_version("MTLR", "0.2.1")



Attach the package and use:
library("MTLR")
Maintained by
Humza Haider
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-19
Latest Update: 2019-06-03
Description:
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.
How to cite:
Humza Haider (2018). MTLR: Survival Prediction with Multi-Task Logistic Regression. R package version 0.2.1, https://cran.r-project.org/web/packages/MTLR. Accessed 02 Sep. 2026.
Previous versions and publish date:
0.1.0 (2018-12-19 00:12), 0.2.0 (2019-03-09 18:22), 0.2.1 (2019-06-03 23:30), (2026-07-09 08:09)
Other packages that cited MTLR R package
View MTLR citation profile
Other R packages that MTLR depends, imports, suggests or enhances
Complete documentation for MTLR
Functions, R codes and Examples using the MTLR R package
Some associated functions: create_folds . mtlr . mtlr_cv . plot.mtlr . plotcurves . predict.mtlr . print.mtlr . 
Some associated R codes: RcppExports.R . method.R . misc.R . mtlr.R . mtlr_cv.R . plotcurves.R . utility.R .  Full MTLR package functions and examples
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