SimDataWeibFrail: Functions simulating data under frailty Weibull illness-death...
In daniel258/CausalSemiComp: Tools for causal inference from semi-competing risks data
Description
Acceptance-rejection sampling is used in case the order preservation assumption is imposed.
Usage
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SimDataWeibFrail(
n.sample,
params,
no.protected = T,
no.large = T,
cens.exp.rate = 0.1,
round.times = T,
cens.admin = 100,
X = NULL
)
Author(s)
Daniel Nevo
daniel258/CausalSemiComp documentation built on Dec. 24, 2021, 5:06 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
Acceptance-rejection sampling is used in case the order preservation assumption is imposed.
Usage
1 2 3 4 5 6 7 8 9 10 | SimDataWeibFrail(
n.sample,
params,
no.protected = T,
no.large = T,
cens.exp.rate = 0.1,
round.times = T,
cens.admin = 100,
X = NULL
)
|
Author(s)
Daniel Nevo
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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