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.
- Version4.5.1
- R versionR (≥ 3.4.0)
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Languageen-US
- afttest citation info
- Last release11/15/2025
Documentation
Team
Woojung Bae
MaintainerShow author detailsJun Yan
Sangwook Kang
Dongrak Choi
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