TYKS: ePCR model fitted to the Turku University Hospital cohorts...
In ePCR: Ensemble Penalized Cox Regression for Survival Prediction
Description
Usage
Format
Note
Author(s)
References
Description
ePCR model fitted to the Turku University Hospital cohorts (all features)
Usage
1
data(ePCRmodels)
Format
An object of class PEP of length 1.
Note
Notice that in order to save space, some slots in the S4 object have been set to null.
Author(s)
Teemu Daniel Laajala teelaa@utu.fi
References
Laajala TD, Murtojärvi M, Virkki A, Aittokallio T. ePCR: an R-package for survival and time-to-event prediction in advanced prostate cancer, applied to a real-world patient cohort. Laajala TD, Murtojärvi M, Virkki A, Aittokallio T. ePCR: an R-package for survival and time-to-event prediction in advanced prostate cancer, applied to a real-world patient cohort. Bioinformatics. 2018 Jun 15. doi: 10.1093/bioinformatics/bty477.
ePCR documentation built on Dec. 1, 2019, 1:21 a.m.
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Description Usage Format Note Author(s) References
Description
ePCR model fitted to the Turku University Hospital cohorts (all features)
Usage
1 | data(ePCRmodels)
|
Format
An object of class PEP of length 1.
Note
Notice that in order to save space, some slots in the S4 object have been set to null.
Author(s)
Teemu Daniel Laajala teelaa@utu.fi
References
Laajala TD, Murtojärvi M, Virkki A, Aittokallio T. ePCR: an R-package for survival and time-to-event prediction in advanced prostate cancer, applied to a real-world patient cohort. Laajala TD, Murtojärvi M, Virkki A, Aittokallio T. ePCR: an R-package for survival and time-to-event prediction in advanced prostate cancer, applied to a real-world patient cohort. Bioinformatics. 2018 Jun 15. doi: 10.1093/bioinformatics/bty477.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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