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

MTLR_0.2.2.tar.gz
MTLR_0.2.2.zip(r-4.5)MTLR_0.2.2.zip(r-4.4)MTLR_0.2.2.zip(r-4.3)
MTLR_0.2.2.tgz(r-4.4-x86_64)MTLR_0.2.2.tgz(r-4.4-arm64)MTLR_0.2.2.tgz(r-4.3-x86_64)MTLR_0.2.2.tgz(r-4.3-arm64)
MTLR_0.2.2.tar.gz(r-4.5-noble)MTLR_0.2.2.tar.gz(r-4.4-noble)
MTLR_0.2.2.tgz(r-4.4-emscripten)MTLR_0.2.2.tgz(r-4.3-emscripten)
MTLR.pdf |MTLR.html
MTLR/json (API)
NEWS

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

Peer review:

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

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

5.40 score 12 stars 21 scripts 138 downloads 2 mentions 4 exports 5 dependencies

Last updated 4 years agofrom:a6f554c602. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-win-x86_64OKOct 27 2024
R-4.5-linux-x86_64OKOct 27 2024
R-4.4-win-x86_64OKOct 27 2024
R-4.4-mac-x86_64OKOct 27 2024
R-4.4-mac-aarch64OKOct 27 2024
R-4.3-win-x86_64OKOct 27 2024
R-4.3-mac-x86_64OKOct 27 2024
R-4.3-mac-aarch64OKOct 27 2024

Exports:create_foldsmtlrmtlr_cvplotcurves

Dependencies:latticeMatrixRcppRcppArmadillosurvival

Introduction to the MTLR Workflow

Rendered fromworkflow.Rmdusingknitr::rmarkdownon Oct 27 2024.

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