Package: AFFECT 0.1.2

AFFECT: Accelerated Functional Failure Time Model with Error-Contaminated Survival Times

We aim to deal with data with measurement error in the response and misclassification censoring status under an AFT model. This package primarily contains three functions, which are used to generate artificial data, correction for error-prone data and estimate the functional covariates for an AFT model.

Authors:Hsiao-Ting Huang <[email protected]> [cre,aut] Li-Pang Chen <[email protected]> [aut]

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AFFECT.pdf |AFFECT.html✨
AFFECT/json (API)

# Install 'AFFECT' in R:
install.packages('AFFECT', repos = c('https://meintraumus.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 272 downloads 4 exports 28 dependencies

Last updated 1 years agofrom:37ecfaab8c. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-winOKNov 19 2024
R-4.5-linuxOKNov 19 2024
R-4.4-winOKNov 19 2024
R-4.4-macOKNov 19 2024
R-4.3-winOKNov 19 2024
R-4.3-macOKNov 19 2024

Exports:AFFECTBoostingdata_genME_correction

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr