View source: R/CopulaBasedCoxPH_pseudoLikelihoodFunctions.R
CompC | R Documentation |
This function estimates phi function at fixed time point t
CompC(theta, t, X, W, ld, cop, dist)
theta |
Estimated parameter values/initial values for finite dimensional parameters |
t |
A fixed time point |
X |
Data matrix with covariates related to T |
W |
Data matrix with covariates related to C. First column of W should be ones |
ld |
Output of |
cop |
Which copula should be computed to account for dependency between T and C. This argument can take
one of the values from |
dist |
The distribution to be used for the dependent censoring C. Only two distributions are allowed, i.e, Weibull
and lognormal distributions. With the value |
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