LORgee.control {multgee} | R Documentation |
Control variables for the GEE solver in the nomLORgee and ordLORgee functions.
## S3 method for class 'control' LORgee(tolerance = 0.001, maxiter = 15, verbose = FALSE, TRACE = FALSE)
tolerance |
positive convergence tolerance. The algorithm converges
when the maximum of the absolute relative difference in parameter estimates
is less than or equal to |
maxiter |
positive integer that indicates the maximum number of iterations in the Fisher-scoring iterative algorithm. |
verbose |
logical that indicates if output should be printed at each iteration. |
TRACE |
logical that indicates if the parameter estimates and the convergence criterion at each iteration should be saved. |
Anestis Touloumis
data(arthritis) fitmod <- ordLORgee(y ~ factor(trt) + factor(baseline) + factor(time), data = arthritis, id = id, repeated = time) ## A one-step GEE estimator fitmod1 <- update(fitmod, control = LORgee.control(maxiter = 1)) coef(fitmod) coef(fitmod1)