condGEE | R Documentation |
Solves for the mean parameters (theta), the variance parameter (σ^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 = 1e-06, atol = 1e-08, ctol = 1e-08, 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 V^2, where the variance of the gap time is σ^2 V^2; the default is a vector of ones; the function should take two arguments (theta, and a matrix of covariates with each row corresponding to one gap time) and it should return a vector of variances |
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.\
(Y-μ)/(σ V)) censored gap times; the default assumes the
standardized censored gap times follow a standard normal distribution, but
|
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.\ (Y-μ)/(σ V)) censored gap times; the default
assumes the standardized censored gap times follow a standard normal
distribution, but |
robust |
logical, if |
asymp.var |
logical, if |
maxiter |
see |
rtol |
see |
atol |
see |
ctol |
see |
useFortran |
see |
conditional expectation
David Clement
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