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aftgee: Accelerated Failure Time Model with Generalized Estimating Equations

A collection of methods for both the rank-based estimates and least-square estimates to the Accelerated Failure Time (AFT) model. For rank-based estimation, it provides approaches that include the computationally efficient Gehan's weight and the general's weight such as the logrank weight. Details of the rank-based estimation can be found in Chiou et al. (2014) <doi:10.1007/s11222-013-9388-2> and Chiou et al. (2015) <doi:10.1002/sim.6415>. For the least-square estimation, the estimating equation is solved with generalized estimating equations (GEE). Moreover, in multivariate cases, the dependence working correlation structure can be specified in GEE's setting. Details on the least-squares estimation can be found in Chiou et al. (2014) <doi:10.1007/s10985-014-9292-x>.

Version: 1.2.1
Depends: R (≥ 3.4.0)
Imports: methods, parallel, geepack, survival, BB, MASS, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Published: 2024-10-07
DOI: 10.32614/CRAN.package.aftgee
Author: Sy Han Chiou [aut, cre], Sangwook Kang [aut], Jun Yan [aut]
Maintainer: Sy Han Chiou <schiou at smu.edu>
BugReports: https://github.com/stc04003/aftgee/issues
License: GPL (≥ 3)
URL: https://github.com/stc04003/aftgee
NeedsCompilation: yes
Citation: aftgee citation info
Materials: NEWS
In views: Survival
CRAN checks: aftgee results

Documentation:

Reference manual: aftgee.pdf

Downloads:

Package source: aftgee_1.2.1.tar.gz
Windows binaries: r-devel: aftgee_1.2.1.zip, r-release: aftgee_1.2.1.zip, r-oldrel: aftgee_1.2.1.zip
macOS binaries: r-release (arm64): aftgee_1.2.1.tgz, r-oldrel (arm64): aftgee_1.2.1.tgz, r-release (x86_64): aftgee_1.2.1.tgz, r-oldrel (x86_64): aftgee_1.2.1.tgz
Old sources: aftgee archive

Reverse dependencies:

Reverse imports: afttest

Linking:

Please use the canonical form https://CRAN.R-project.org/package=aftgee 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.