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. See the following references; A general model-checking procedure for semiparametric accelerated failure time models, Statistics and Computing, 34 (3), 117 <doi:10.1007/s11222-024-10431-7>; Diagnostics for semiparametric accelerated failure time models with R package 'afttest', arXiv, <doi:10.48550/arXiv.2511.09823>.
| Version: | 4.5.1 |
| Depends: | R (≥ 3.4.0) |
| Imports: | survival,aftgee,ggplot2,gridExtra |
| LinkingTo: | Rcpp,RcppArmadillo |
| Suggests: | knitr,rmarkdown,testthat (≥ 3.0.0) |
| Published: | 2025-11-15 |
| DOI: | 10.32614/CRAN.package.afttest |
| Author: | Woojung Bae [aut, cre], Dongrak Choi [aut], Jun Yan [aut], Sangwook Kang [aut] |
| Maintainer: | Woojung Bae <matt.woojung at gmail.com> |
| BugReports: | https://github.com/WooJungBae/afttest/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/WooJungBae/afttest |
| NeedsCompilation: | yes |
| Language: | en-US |
| Citation: | afttest citation info |
| Materials: | README |
| CRAN checks: | afttest results |
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