Package: aftgee 1.2.1

Sy Han Chiou

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>.

Authors:Sy Han Chiou [aut, cre], Sangwook Kang [aut], Jun Yan [aut]

aftgee_1.2.1.tar.gz
aftgee_1.2.1.tar.gz(r-4.5-noble)aftgee_1.2.1.tar.gz(r-4.4-noble)
aftgee_1.2.1.tgz(r-4.4-emscripten)aftgee_1.2.1.tgz(r-4.3-emscripten)
aftgee.pdf |aftgee.html
aftgee/json (API)
NEWS

# Install 'aftgee' in R:
install.packages('aftgee', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/stc04003/aftgee/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

openblascpp

1.48 score 1 stars 1 packages 9 scripts 635 downloads 6 exports 32 dependencies

Last updated 2 months agofrom:3e29476b5c. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 07 2024
R-4.5-linux-x86_64OKDec 07 2024

Exports:aftgeeaftgee.controlaftsrris.SurvQICSurv

Dependencies:backportsBBbroomclicpp11dplyrfansigeepackgenericsgluelatticelifecyclemagrittrMASSMatrixpillarpkgconfigpurrrquadprogR6RcppRcppArmadillorlangstringistringrsurvivaltibbletidyrtidyselectutf8vctrswithr