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'))

On CRAN:

Conda:

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

1.00 score 280 downloads 4 exports 28 dependencies

Last updated 2 years agofrom:37ecfaab8c. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 17 2025
R-4.5-winOKFeb 17 2025
R-4.5-macOKFeb 17 2025
R-4.5-linuxOKFeb 17 2025
R-4.4-winOKFeb 17 2025
R-4.4-macOKFeb 17 2025
R-4.3-winOKFeb 17 2025
R-4.3-macOKFeb 17 2025

Exports:AFFECTBoostingdata_genME_correction

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr