imputeYn: Imputing the Last Largest Censored Observation(s) Under Weighted Least Squares

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Method brings less bias and more efficient estimates for AFT models.

Author
Hasinur Rahaman Khan and Ewart Shaw
Date of publication
2015-10-23 22:08:14
Maintainer
Hasinur Rahaman Khan <hasinurkhan@gmail.com>
License
GPL-2
Version
1.3

View on CRAN

Man pages

aft.kmweight
Computing Kaplan-Meier Weights
aft.qp
Fiting Regularized Weighted Least Squares Method by Quadratic...
data
Generating Survival Data from Log-normal AFT Model
imputeYn
Imputing the Censored Largest Datum Under Weighted Least...
imputeYn.extra
Imputing the Last Largest tied Observations with a new method
imputeYn-package
Imputing the Last Largest Censored Observation(s) Under...
lss.mod
Modified Least Squares Pricnciple for Solving the AFT Model
print.imputeYn
Printing the Important Components of the Class "imputeYn"

Files in this package

imputeYn
imputeYn/NAMESPACE
imputeYn/R
imputeYn/R/imputeYn.R
imputeYn/MD5
imputeYn/DESCRIPTION
imputeYn/man
imputeYn/man/lss.mod.Rd
imputeYn/man/imputeYn.Rd
imputeYn/man/imputeYn-package.Rd
imputeYn/man/data.Rd
imputeYn/man/imputeYn.extra.Rd
imputeYn/man/print.imputeYn.Rd
imputeYn/man/aft.qp.Rd
imputeYn/man/aft.kmweight.Rd