Usage
coxme(formula, data, weights, subset, na.action, init, control,
ties = c("efron", "breslow"),
varlist, vfixed, vinit,
sparse = c(50, 0.02), x = FALSE, y = TRUE,
refine.n = 0, random, fixed, variance, ...)Arguments
formula
a two-sided formula with a survival object as the left hand side of a
~ operator and the fixed and random effects on the right.
data
an optional data frame containing the variables named in the formula.
subset, weights, na.action
further model specifications arguments as in lm; see there
for details.
init
optional initial values for the fixed effects.
control
optional list of control options. See coxme.control for details.
ties
method for handling exact ties in the survival time.
varlist
the variance family to be used for each random term. If there are
multiple terms it will be a list of variance functions.
The default is coxmeFull.
Alternatively it can be a list of matrices, in which case the
coxmeMlis
vfixed
optional named list or vector used to fix the value of one or more
of the variance terms at a constant.
vinit
optional named list or vector giving suggested starting values for
the variance.
sparse
rule for deciding sparsity of a random effect. See the main
documentation for discussion of the issue.
x
if TRUE the X matrix (fixed effects) is included in the output object
y
if TRUE the y variable (survival time) is included in the output object
refine.n
number of samples to be used in a monte-carlo estimate of
possible error in the log-likelihood of the fitted model due to
inadequacy of the Laplace approximation.
fixed, random, variance
In the preliminary version of coxme
the fixed and random effects were separate arguments. These arguments
are included for backwards compatability, but are depreciated.
The variance argument is a depreciated alias for vfixed.
...
any other arguments are passed forward to coxme.control.