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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)

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Version

Install

install.packages('MTPS')

Monthly Downloads

258

Version

1.0.2

License

GPL (>= 2)

Maintainer

Li Xing

Last Published

June 14th, 2023

Functions in MTPS (1.0.2)

MTPS-internal

Internal functions
Internal_data

Internal Data Object
predict.MTPS

Make predictions from a "MTPS" model
modify.parameter

Modify Default Parameters For Base Learner
MTPS

Fit Models using Revised Stacking Algorithm
list.learners

List Available Base Learners
AUC

Area Under Curve
multiFit

Fit models on multiple outcomes
cv.MTPS

Evaluation using Cross-Validation
predict.multiFit

Make predictions for multiple outcomes
HIV

HIV Drug Resistance Database