MTPS: Multi-Task Prediction using Stacking Algorithms

Simultaneous multiple outcomes prediction based on revised stacking algorithms, which enables the integration of information from predictions of individual models. An implementation of methodologies proposed in our paper: Li Xing, Mary L Lesperance, Xuekui Zhang. (2019) Bioinformatics, "Simultaneous prediction of multiple outcomes using revised stacking algorithms" <doi:10.1093/bioinformatics/btz531>.

Version: 0.1.9
Depends: R (≥ 3.5.0), glmnet, rpart, MASS, e1071, class
Suggests: knitr, rmarkdown, ggplot2, reshape2
Published: 2020-02-06
Author: Li Xing [aut, cre], Peijie Xie [ctb], Mary Lesperance [aut], Xuekui Zhang [aut]
Maintainer: Li Xing <sfulxing at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://doi.org/10.1093/bioinformatics/btz531
NeedsCompilation: no
Citation: MTPS citation info
Materials: README
CRAN checks: MTPS results

Downloads:

Reference manual: MTPS.pdf
Vignettes: MTPS
Package source: MTPS_0.1.9.tar.gz
Windows binaries: r-devel: MTPS_0.1.9.zip, r-devel-gcc8: MTPS_0.1.9.zip, r-release: MTPS_0.1.9.zip, r-oldrel: MTPS_0.1.9.zip
OS X binaries: r-release: MTPS_0.1.9.tgz, r-oldrel: MTPS_0.1.9.tgz

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