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ePCR  

Ensemble Penalized Cox Regression for Survival Prediction
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ePCR", "0.11.0")



Attach the package and use:
library("ePCR")
Maintained by
Teemu Daniel Laajala
[Scholar Profile | Author Map]
First Published: 2017-12-21
Latest Update: 2019-11-24
Description:
The top-performing ensemble-based Penalized Cox Regression (ePCR) framework developed during the DREAM 9.5 mCRPC Prostate Cancer Challenge presented in Guinney J, Wang T, Laajala TD, et al. (2017) is provided here-in, together with the corresponding follow-up work. While initially aimed at modeling the most advanced stage of prostate cancer, metastatic Castration-Resistant Prostate Cancer (mCRPC), the modeling framework has subsequently been extended to cover also the non-metastatic form of advanced prostate cancer (CRPC). Readily fitted ensemble-based model S4-objects are provided, and a simulated example dataset based on a real-life cohort is provided from the Turku University Hospital, to illustrate the use of the package. Functionality of the ePCR methodology relies on constructing ensembles of strata in patient cohorts and averaging over them, with each ensemble member consisting of a highly optimized penalized/regularized Cox regression model. Various cross-validation and other modeling schema are provided for constructing novel model objects.
How to cite:
Teemu Daniel Laajala (2017). ePCR: Ensemble Penalized Cox Regression for Survival Prediction. R package version 0.11.0, https://cran.r-project.org/web/packages/ePCR. Accessed 30 Apr. 2025.
Previous versions and publish date:
0.9.9-4 (2017-12-21 14:41), 0.9.9-6 (2018-05-29 21:12), 0.9.9-9 (2019-04-11 13:25), 0.9.9-11 (2019-11-24 06:20)
Other packages that cited ePCR R package
View ePCR citation profile
Other R packages that ePCR depends, imports, suggests or enhances
Complete documentation for ePCR
Functions, R codes and Examples using the ePCR R package
Some associated functions: DREAM . NelsonAalen . PEP-class . PEP-methods . PSP-class . PSP-methods . TYKS . TYKSSIMU . TYKS_reduced . TimeSurvProb . bootstrapRegCoefs . conforminput . cv.alpha . cv.grid . cv . ePCR . heatcv . integrateRegCurve . interact.all . interact.part . meanrank . normriskrank . score.cindex . score.iAUC . zt . 
Some associated R codes: ext.R . int.R . pep.R . psp.R . roxygen.R .  Full ePCR package functions and examples
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