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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

231

Version

1.0.1

License

GPL (>= 2)

Maintainer

Li Xing

Last Published

October 9th, 2020

Functions in MTPS (1.0.1)

predict.MTPS

Make predictions from a "MTPS" model
modify.parameter

Modify Default Parameters For Base Learner
AUC

Area Under Curve
MTPS

Fit Models using Revised Stacking Algorithm
HIV

HIV Drug Resistance Database
multiFit

Fit models on multiple outcomes
MTPS-internal

Internal functions
cv.MTPS

Evaluation using Cross-Validation
list.learners

List Available Base Learners
Internal_data

Internal Data Object
predict.multiFit

Make predictions for multiple outcomes