Package: MTLR 0.2.2

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:Humza Haider [aut, cre]

MTLR_0.2.2.tar.gz
MTLR_0.2.2.zip(r-4.7)MTLR_0.2.2.zip(r-4.6)MTLR_0.2.2.zip(r-4.5)
MTLR_0.2.2.tgz(r-4.6-x86_64)MTLR_0.2.2.tgz(r-4.6-arm64)MTLR_0.2.2.tgz(r-4.5-x86_64)MTLR_0.2.2.tgz(r-4.5-arm64)
MTLR_0.2.2.tar.gz(r-4.7-arm64)MTLR_0.2.2.tar.gz(r-4.7-x86_64)MTLR_0.2.2.tar.gz(r-4.6-arm64)MTLR_0.2.2.tar.gz(r-4.6-x86_64)
MTLR_0.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MTLR/json (API)

# Install 'MTLR' in R:

install.packages('MTLR', repos = c('https://haiderstats.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/haiderstats/mtlr/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

On CRAN:

openblas cpp

6.00 score 11 stars 1 packages 30 scripts 570 downloads 2 mentions 4 exports 6 dependencies

Last updated from:f03010cd40. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	140
linux-devel-x86_64	OK	190
source / vignettes	OK	222
linux-release-arm64	OK	197
linux-release-x86_64	OK	133
macos-release-arm64	OK	146
macos-release-x86_64	OK	316
macos-oldrel-arm64	OK	155
macos-oldrel-x86_64	OK	338
windows-devel	OK	123
windows-release	OK	104
windows-oldrel	OK	119
wasm-release	OK	133

Exports:create_folds mtlr mtlr_cv plotcurves

Dependencies:lattice Matrix Rcpp RcppArmadillo rlang survival

Introduction to the MTLR Workflow

Rendered fromworkflow.Rmdusingknitr::rmarkdown

Last update: 2018-12-10
Started: 2018-12-09

Citation

Development and contributors

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