The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

groupedSurv: Efficient Estimation of Grouped Survival Models Using the Exact Likelihood Function

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).

Version: 1.0.5.1
Imports: Rcpp (≥ 0.12.4), doParallel, parallel, foreach, qvalue
LinkingTo: Rcpp, RcppEigen, BH
Suggests: knitr, snplist, BEDMatrix
Published: 2023-09-28
DOI: 10.32614/CRAN.package.groupedSurv
Author: Jiaxing Lin [aut], Alexander Sibley [aut], Tracy Truong [aut], Kouros Owzar [aut], Zhiguo Li [aut], Layne Rogers [ctb], Yu Jiang [ctb], Janice McCarthy [ctb], Andrew Allen [ctb]
Maintainer: Alexander Sibley <dcibioinformatics at duke.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: groupedSurv citation info
Materials: NEWS
CRAN checks: groupedSurv results

Documentation:

Reference manual: groupedSurv.pdf
Vignettes: groupedSurv

Downloads:

Package source: groupedSurv_1.0.5.1.tar.gz
Windows binaries: r-devel: groupedSurv_1.0.5.1.zip, r-release: groupedSurv_1.0.5.1.zip, r-oldrel: groupedSurv_1.0.5.1.zip
macOS binaries: r-release (arm64): groupedSurv_1.0.5.1.tgz, r-oldrel (arm64): groupedSurv_1.0.5.1.tgz, r-release (x86_64): groupedSurv_1.0.5.1.tgz, r-oldrel (x86_64): groupedSurv_1.0.5.1.tgz
Old sources: groupedSurv archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=groupedSurv to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.