The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| 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 |
| Reference manual: | MTLR.pdf |
| Vignettes: |
Introduction to the MTLR Workflow |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=MTLR to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.