Usage
MGEE(formula, id, data, na.action = NULL, family = gaussian(link = "identity"),
corstr = "independence", Mv = NULL, beta_int = NULL, R = NULL, scale.fix = TRUE,
scale.value = 1, maxiter = 25, tol = 10^-3, silent = TRUE)
Arguments
formula
A formula expression in the form of response ~ predictors.
id
A vector for identifying subjects/clusters.
data
A data frame which stores the variables in formula with id variable.
na.action
A function to remove missing values from the data. Only na.omit is allowed here.
family
A family object: a list of functions and expressions for defining link and
variance functions. Families supported in MGEE are binomial, gaussian, gamma and
poisson. The links, which are not available in gee, is not available here. The default family
is gaussian.
corstr
A character string, which specifies the type of correlation structure.
Structures supported in MGEE are "AR-1","exchangeable", "fixed", "independence",
"stat_M_dep","non_stat_M_dep", and "unstructured". The default corstr type is
"independence".
Mv
If either "stat_M_dep", or "non_stat_M_dep" is specified in corstr, then this assigns
a numeric value for Mv. Otherwise, the default value is NULL.
beta_int
User specified initial values for regression parameters. The default value is NULL.
R
If corstr = "fixed" is specified, then R is a square matrix of dimension maximum cluster
size containing the user specified correlation. Otherwise, the default value is NULL.
scale.fix
A logical variable; if true, the scale parameter is fixed at the value of scale.value.
The default value is TRUE.
scale.value
If scale.fix = TRUE, this assignes a numeric value to which the scale parameter should be fixed.
The default value is 1.
maxiter
The number of iterations that is used in the estimation algorithm. The default value is 25.
tol
The tolerance level that is used in the estimation algorithm. The default value is 10^-3.
silent
A logical variable; if false, the regression parameter estimates at each iteration are
printed. The default value is TRUE.