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MTPS  

Multi-Task Prediction using Stacking Algorithms
View on CRAN: Click here


Download and install MTPS package within the R console
Install from CRAN:
install.packages("MTPS")

Install from Github:
library("remotes")
install_github("cran/MTPS")

Install by package version:
library("remotes")
install_version("MTPS", "1.0.2")



Attach the package and use:
library("MTPS")
Maintained by
Li Xing
[Scholar Profile | Author Map]
First Published: 2020-02-06
Latest Update: 2023-06-14
Description:
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" .
How to cite:
Li Xing (2020). MTPS: Multi-Task Prediction using Stacking Algorithms. R package version 1.0.2, https://cran.r-project.org/web/packages/MTPS. Accessed 01 Apr. 2025.
Previous versions and publish date:
0.1.9 (2020-02-06 17:40), 1.0.1 (2020-10-09 06:30)
Other packages that cited MTPS R package
View MTPS citation profile
Other R packages that MTPS depends, imports, suggests or enhances
Complete documentation for MTPS
Functions, R codes and Examples using the MTPS R package
Some associated functions: AUC . HIV_data . Internal_data . MTPS-internal . cv.MTPS . list.learners . modify.parameter . multiFit . predict.MTPS . predict.multiFit . revisedStacking . 
Some associated R codes: MTPS.R . checkMatch.R . createFolder.R . cv.MTPS.R . cvGlmnet2.R . cvMultiFit.R . list.learners.R . method.R . multiFit.R . residuals.R . rsMultiFit.R .  Full MTPS package functions and examples
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