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groupedSurv
View on CRAN: Click
here
Download and install groupedSurv package within the R console
Install from CRAN:
install.packages("groupedSurv")
Install from Github:
library("remotes")
install_github("cran/groupedSurv")
Install by package version:
library("remotes")
install_version("groupedSurv", "1.0.5.1")
Attach the package and use:
library("groupedSurv")
Maintained by
Alexander Sibley
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.groupedSurv . groupedSurv citation info . groupedSurv results . groupedSurv.pdf . groupedSurv . groupedSurv_1.0.5.1.tar.gz . groupedSurv_1.0.5.1.zip . groupedSurv_1.0.5.1.zip . groupedSurv_1.0.5.1.zip . groupedSurv_1.0.5.1.tgz . groupedSurv_1.0.5.1.tgz . groupedSurv_1.0.5.1.tgz . groupedSurv_1.0.5.1.tgz . groupedSurv_1.0.5.1.tgz . groupedSurv_1.0.5.1.tgz . groupedSurv archive . https://CRAN.R-project.org/package=groupedSurv .
First Published: 2018-05-11
Latest Update: 2023-09-28
Description:
These 'Rcpp'-based functions compute the efficient score statistics for grouped time-to-event data (Prentice and Gloeckler, 1978), with the optional inclusion of baseline covariates. Functions for estimating the parameter of interest and nuisance parameters, including baseline hazards, using maximum likelihood are also provided. A parallel set of functions allow for the incorporation of family structure of related individuals (e.g., trios). Note that the current implementation of the frailty model (Ripatti and Palmgren, 2000) is sensitive to departures from model assumptions, and should be considered experimental. For these data, the exact proportional-hazards-model-based likelihood is computed by evaluating multiple variable integration. The integration is accomplished using the 'Cuba' library (Hahn, 2005), and the source files are included in this package. The maximization process is carried out using Brent's algorithm, with the C++ code file from John Burkardt and John Denker (Brent, 2002).
How to cite:
Alexander Sibley (2018). groupedSurv: Efficient Estimation of Grouped Survival Models Using the Exact Likelihood Function. R package version 1.0.5.1, https://cran.r-project.org/web/packages/groupedSurv. Accessed 07 Apr. 2025.
Previous versions and publish date:
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Other R packages that groupedSurv depends,
imports, suggests or enhances
Complete documentation for groupedSurv
Functions, R codes and Examples using
the groupedSurv R package
Some associated functions: PvalueFam . alphaEstFam . betaEst . betaEstFam . geneStat . groupedSurv-package . groupedSurv . groupedSurvFam . thetaEst . varEstFam . varLLFam .
Some associated R codes: PvalueFam.R . RcppExports.R . alphaEstFam.R . betaEst.R . betaEstFam.R . geneStat.R . groupedSurv.R . groupedSurvFam.R . thetaEst.R . varEstFam.R . varLLFam.R . Full groupedSurv package functions and examples
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