Description Usage Arguments Details Value
View source: R/OutcomeImputationWEIBREJECTION.R
The function UNEQUALCENSIMPUTEWEIB will perform a rejection sampling algorithm to handle unequal follow-up for recurrence and death. This function is the default imputation method when we assume WEIBULL baseline hazards. We allow the user to specify the function UNEQUALCENSIMPUTE in MultiCure if desired, but we provide default method. When baseline hazards are WEIBULL, the input/output of user-written functions must match the input/output of this default function.
1 2 | UNEQUALCENSIMPUTEWEIBREJECTION(datWIDE, beta, alpha, scale, shape,
ImputeDat, TransCov)
|
datWIDE |
defined as in MultiCure |
beta |
A vector containing the most recent estimates of beta |
alpha |
A vector containing the most recent estimates of alpha |
scale |
A vector containing the most recent estimates of scale |
shape |
A vector containing the most recent estimates of shape |
ImputeDat |
This is a list with the following elements:
|
TransCov |
defined as in MultiCure |
This function cannot be applied when 'T_R' is included in the model for Recurrence -> Death. In this case, use the function UNEQUALCENSIMPUTEWEIBINVERSION.
a list containing
[[1]]: deltaRImp, A single imputation of delta_R
[[2]]: YRImp, A single imputation of Y_R
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