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AFFECT  

Accelerated Functional Failure Time Model with Error-Contaminated Survival Times
View on CRAN: Click here


Download and install AFFECT package within the R console
Install from CRAN:
install.packages("AFFECT")

Install from Github:
library("remotes")
install_github("cran/AFFECT")

Install by package version:
library("remotes")
install_version("AFFECT", "0.1.2")



Attach the package and use:
library("AFFECT")
Maintained by
Hsiao-Ting Huang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-01
Latest Update: 2023-07-06
Description:
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.
How to cite:
Hsiao-Ting Huang (2023). AFFECT: Accelerated Functional Failure Time Model with Error-Contaminated Survival Times. R package version 0.1.2, https://cran.r-project.org/web/packages/AFFECT. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2023-06-01 14:50), 0.1.1 (2023-06-04 15:00)
Other packages that cited AFFECT R package
View AFFECT citation profile
Other R packages that AFFECT depends, imports, suggests or enhances
Complete documentation for AFFECT
Functions, R codes and Examples using the AFFECT R package
Some associated functions: AFFECT . Boosting . ME_correction . data_gen . 
Some associated R codes: AFTER.R . Boost_weight.R . boosting.R . data_generation.R . f1.R . f2.R . f3.R . f4.R . matrix_value.R . measurement_error_correction.R . riemann_interval.R .  Full AFFECT package functions and examples
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