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-4.5-x86_64)MTLR_0.2.2.tgz(r-4.5-arm64)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'))

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

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

On CRAN:

Conda-Forge:

openblascpp

5.36 score 12 stars 19 scripts 189 downloads 2 mentions 4 exports 5 dependencies

Last updated 4 years agofrom:a6f554c602. Checks:11 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 24 2025
R-4.5-win-x86_64OKFeb 24 2025
R-4.5-mac-x86_64OKFeb 24 2025
R-4.5-mac-aarch64OKFeb 24 2025
R-4.5-linux-x86_64OKFeb 24 2025
R-4.4-win-x86_64OKFeb 24 2025
R-4.4-mac-x86_64OKFeb 24 2025
R-4.4-mac-aarch64OKFeb 24 2025
R-4.3-win-x86_64OKFeb 24 2025
R-4.3-mac-x86_64OKFeb 24 2025
R-4.3-mac-aarch64OKFeb 24 2025

Exports:create_foldsmtlrmtlr_cvplotcurves

Dependencies:latticeMatrixRcppRcppArmadillosurvival

Introduction to the MTLR Workflow

Humza Haider ([email protected])

Rendered fromworkflow.Rmdusingknitr::rmarkdownon Feb 24 2025.

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