sampleFromCondKM: sampleFromCondKM
In mbrueckner/permGS: Permutational Group Sequential Test for Time-to-Event Data
Description
Usage
Arguments
Value
Description
Sample from conditional distribution estimated by Kaplan-Meier estimator. Imputed values > tmax are right-censored.
Usage
1
sampleFromCondKM(U, fit, tmax = NULL, dv = 1, f = NULL)
Arguments
U
vector of observed times
fit
Kaplan-Meier fit as returned by survfit
tmax
largest observation of the pooled sample
dv
1 if imputing events, 0 if imputing censoring times
f
interpolated Kaplan-Meier estimate
Value
Random sample of survival times drawn from conditional distribution of T given T > U
mbrueckner/permGS documentation built on May 22, 2019, 12:57 p.m.
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Description Usage Arguments Value
Description
Sample from conditional distribution estimated by Kaplan-Meier estimator. Imputed values > tmax are right-censored.
Usage
1 | sampleFromCondKM(U, fit, tmax = NULL, dv = 1, f = NULL)
|
Arguments
U |
vector of observed times |
fit |
Kaplan-Meier fit as returned by survfit |
tmax |
largest observation of the pooled sample |
dv |
1 if imputing events, 0 if imputing censoring times |
f |
interpolated Kaplan-Meier estimate |
Value
Random sample of survival times drawn from conditional distribution of T given T > U
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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