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: 1.0.2
Depends: R (≥ 3.5.0), glmnet, rpart, MASS, e1071, class
Suggests: knitr, rmarkdown, ggplot2, reshape2
Published: 2023-06-14
DOI: 10.32614/CRAN.package.MTPS
Author: Li Xing [aut, cre], Xiaowen Cao [aut], Yuying Huang [aut], Peijie Xie [ctb], Mary Lesperance [aut], Xuekui Zhang [aut]
Maintainer: Li Xing <sfulxing at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: MTPS results


Reference manual: MTPS.pdf
Vignettes: MTPS


Package source: MTPS_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MTPS_1.0.2.tgz, r-oldrel (arm64): MTPS_1.0.2.tgz, r-release (x86_64): MTPS_1.0.2.tgz, r-oldrel (x86_64): MTPS_1.0.2.tgz
Old sources: MTPS archive

Reverse dependencies:

Reverse imports: iimi
Reverse enhances: joinet


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