condGEE {condGEE} | R Documentation |
condGEE
Description
Solves for the mean parameters (theta
), the
variance parameter (\sigma^2
), and their asymptotic variance
in a conditional GEE for recurrent event gap times, as described by
Clement, D. Y. and Strawderman, R. L. (2009)
Usage
condGEE(
data,
start,
mu.fn = MU,
mu.d = MU.d,
var.fn = V,
k1 = K1.norm,
k2 = K2.norm,
robust = TRUE,
asymp.var = TRUE,
maxiter = 100,
rtol = 1e-06,
atol = 1e-08,
ctol = 1e-08,
useFortran = TRUE
)
Arguments
data |
matrix of data with one row for each gap time; the first column should be a subject ID, the second column the gap time, the third column a completeness indicator equal to 1 if the gap time is complete and 0 if the gap time is censored, and the remaining columns the covariates for use in the mean and variance functions |
start |
vector containing initial guesses for the unknown parameter vector |
mu.fn |
the specification for the mean of the gap time; the default is
a linear combination of the covariates; the function should take two arguments
( |
mu.d |
the derivative of |
var.fn |
the specification for |
k1 |
the function to solve for the conditional mean length of the censored
gap times; its sole argument should be the vector of standardized (i.e.\
|
k2 |
the function to solve for the conditional mean length of the square
of the censored gap times; its sole argument should be the vector of
standardized (i.e.\ |
robust |
logical, if |
asymp.var |
logical, if |
maxiter |
see |
rtol |
see |
atol |
see |
ctol |
see |
useFortran |
see |
Value
conditional expectation
Author(s)
David Clement