Package: MTPS 1.0.2

MTPS: 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" <doi:10.1093/bioinformatics/btz531>.

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

MTPS_1.0.2.tar.gz
MTPS_1.0.2.zip(r-4.5)MTPS_1.0.2.zip(r-4.4)MTPS_1.0.2.zip(r-4.3)
MTPS_1.0.2.tgz(r-4.4-any)MTPS_1.0.2.tgz(r-4.3-any)
MTPS_1.0.2.tar.gz(r-4.5-noble)MTPS_1.0.2.tar.gz(r-4.4-noble)
MTPS_1.0.2.tgz(r-4.4-emscripten)MTPS_1.0.2.tgz(r-4.3-emscripten)
MTPS.pdf |MTPS.html✨
MTPS/json (API)

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29 exports 0.36 score 15 dependencies 1 dependents 7 scripts 271 downloads

Last updated 1 years agofrom:8860ad0aed. Checks:OK: 7. Indexed: yes.

Exports:AUCcheck.matchcreateFoldscv.glmnet2cv.MTPScv.multiFitglm1glmnet.lassoglmnet.ridgeglmnet1KNN1lda1list.learnerslm1max_finitemin_finitemodify.parameterMTPSmultiFitpredict.cv.multiFitpredict.MTPSpredict.multiFitpredict.rs.multiFitqda1resid.binrpart1rs.multiFitsvm1trapezoid

Dependencies:classcodetoolse1071foreachglmnetiteratorslatticeMASSMatrixproxyRcppRcppEigenrpartshapesurvival