afttest: Model Diagnostics for Accelerated Failure Time Models

A collection of model checking methods for semiparametric accelerated failure time (AFT) models under the rank-based approach. For the (computational) efficiency, Gehan's weight is used. It provides functions to verify whether the observed data fit the specific model assumptions such as a functional form of each covariate, a link function, and an omnibus test. The p-value offered in this package is based on the Kolmogorov-type supremum test and the variance of the proposed test statistics is estimated through the re-sampling method. Furthermore, a graphical technique to compare the shape of the observed residual to a number of the approximated realizations is provided.

Depends: R (≥ 3.4.0)
Imports: survival, aftgee, ggplot2, gridExtra
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-01-16
DOI: 10.32614/CRAN.package.afttest
Author: Woojung Bae ORCID iD [aut, cre], Dongrak Choi ORCID iD [aut], Jun Yan ORCID iD [aut], Sangwook Kang ORCID iD [aut]
Maintainer: Woojung Bae <matt.woojung at>
License: GPL (≥ 3)
NeedsCompilation: yes
Language: en-US
Citation: afttest citation info
Materials: README
CRAN checks: afttest results


Reference manual: afttest.pdf


Package source: afttest_4.3.2.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): afttest_4.3.2.3.tgz, r-oldrel (arm64): afttest_4.3.2.3.tgz, r-release (x86_64): afttest_4.3.2.3.tgz, r-oldrel (x86_64): afttest_4.3.2.3.tgz
Old sources: afttest archive


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