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.
| Version: |
4.3.2.3 |
| 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  [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 |
Documentation:
Downloads:
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