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