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pcoxtime
View on CRAN: Click
here
Download and install pcoxtime package within the R console
Install from CRAN:
install.packages("pcoxtime")
Install from Github:
library("remotes")
install_github("cran/pcoxtime")
Install by package version:
library("remotes")
install_version("pcoxtime", "1.0.4")
Attach the package and use:
library("pcoxtime")
Maintained by
Bicko Cygu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-15
Latest Update: 2022-05-13
Description:
Fits penalized models for both time-independent and time-dependent survival data. It fully implements elastic net and uses proximal gradient descent to solve the optimization problem. The package is an implementation of Steve Cygu and Benjamin M. Bolker. (2021) .
How to cite:
Bicko Cygu (2021). pcoxtime: Penalized Cox Proportional Hazard Model for Time-Dependent
Covariates. R package version 1.0.4, https://cran.r-project.org/web/packages/pcoxtime. Accessed 21 Nov. 2024.
Previous versions and publish date:
Other packages that cited pcoxtime R package
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Other R packages that pcoxtime depends,
imports, suggests or enhances
Functions, R codes and Examples using
the pcoxtime R package
Some associated functions: coef.pcoxtime . coef.pcoxtimecv . coefvimp.pcoxtime . concordScore.pcoxtime . extractoptimal.pcoxtimecv . getResponse . parseFormula . pcoxsurvfit.pcoxtime . pcoxtheme . pcoxtime . pcoxtimecv . pkgsExport . plot.Score . plot.pcoxsurvfit . plot.pcoxtimecv . plot.varimp . predict.pcoxtime . predictRisk.pcoxtime . predictSurvProb.pcoxtime . predictedHazard . print.pcoxbasehaz . print.pcoxsurvfit . print.pcoxtime . print.pcoxtimecv . pvimp.pcoxtime . riskset . simtdc . unscale . varimp.pcoxtime .
Some associated R codes: RcppExports.R . helperfuns.R . methodfuns.R . pcoxsim.R . pcoxtheme.R . pcoxtime.R . pcoxtimecv.R . pcoxtimeplots.R . pkgsExport.R . posthocfuns.R . Full pcoxtime package functions and examples
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