Multi-Task Prediction using Stacking Algorithms
Overview
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.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 11 (1 internal)
- Examples that run
- 100%9 run in a plain check
- Exported functions with examples
- 90%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 9%
- MTPS HTML
Downloads
Dependencies
Installing MTPS adds 8 packages (5 with compiled code, 7.6 MB of source tarballs). Heaviest: glmnet 2.7 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.0.2Latest
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.0.12020-10-09 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.1.92020-02-06
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2020-02-06
- Total releases
- 3 / 6 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 101 KB / 2 files
- Download size
- 188 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("MTPS")The package provides a citation file, so citation() returns the authors' own entry.
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From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.