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" .


MTPS

Multi-task prediction using revised stacking algorithms

This is R implementation of statitical method proposed in our paper
Li Xing, Mary L Lesperance, Xuekui Zhang, (2019) "Simultaneous prediction of multiple outcomes using revised stacking algorithms", Bioinformatics, btz531 DOI:10.1093/bioinformatics/btz531

Please cite this paper, if you used this R package in your research. Thanks!

To install this R package, please use the following R code:

library(devtools)
install_github("ubcxzhang/MTPS", build_vignettes = TRUE)

Reference manual

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install.packages("MTPS")

1.0.2 by Li Xing, 3 years ago


https://doi.org/10.1093/bioinformatics/btz531


Browse source code at https://github.com/cran/MTPS


Authors: Li Xing [aut, cre] , Xiaowen Cao [aut] , Yuying Huang [aut] , Peijie Xie [ctb] , Mary Lesperance [aut] , Xuekui Zhang [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Depends on glmnet, rpart, MASS, e1071, class

Suggests knitr, rmarkdown, ggplot2, reshape2


Imported by iimi.

Suggested by joinet.


See at CRAN