simClaytonOakes: Simulate from the Clayton-Oakes frailty model
In mets: Analysis of Multivariate Event Times
Description
Usage
Arguments
Author(s)
View source: R/sim.clayton.oakes.R
Description
Simulate observations from the Clayton-Oakes copula model with
piecewise constant marginals.
Usage
1
2
simClaytonOakes(K, n, eta, beta, stoptime, left = 0, pairleft = 0,
trunc.prob = 0.5)
Arguments
K
Number of clusters
n
Number of observations in each cluster
eta
1/variance
beta
Effect (log hazard ratio) of covariate
stoptime
Stopping time
left
Left truncation
pairleft
pairwise (1) left truncation or individual (0)
trunc.prob
Truncation probability
Author(s)
Klaus K. Holst
mets documentation built on May 2, 2019, 4:43 p.m.
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Description Usage Arguments Author(s)
View source: R/sim.clayton.oakes.R
Description
Simulate observations from the Clayton-Oakes copula model with piecewise constant marginals.
Usage
1 2 | simClaytonOakes(K, n, eta, beta, stoptime, left = 0, pairleft = 0,
trunc.prob = 0.5)
|
Arguments
K |
Number of clusters |
n |
Number of observations in each cluster |
eta |
1/variance |
beta |
Effect (log hazard ratio) of covariate |
stoptime |
Stopping time |
left |
Left truncation |
pairleft |
pairwise (1) left truncation or individual (0) |
trunc.prob |
Truncation probability |
Author(s)
Klaus K. Holst
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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