condGEE {condGEE}  R Documentation 
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)
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 = 1e06,
atol = 1e08,
ctol = 1e08,
useFortran = TRUE
)
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 
conditional expectation
David Clement