Description Usage Arguments Details Value Author(s) References See Also Examples
ML fitting of a multivariate gaussian model for longitudinal data that generalizes AR(1), CS, and MA(1) covariance structures
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formula |
standard linear modeling formula |
id |
vector of cluster discriminators |
S |
vector of observation times |
data |
resolve model formula elements in this data frame |
subset |
logical subsetting vector |
na.action |
action to take for NA in formula element |
omega.init |
starting value for covariance parameter vector (dim=2) |
omega.low |
lower bound for covariance parameter vector |
omega.high |
upper bound for covariance parameter vector |
ltol |
tolerance for convergence of likelihood function |
contrasts |
probably not used |
verbose |
print -2 likelihood value per iteration |
In the example, it is noted that 'convergence is suspect'. It may be desirable to use other starting points, or to check convergence using a profiling procedure, when such messages are encountered.
a structure with model fitting results
VJ Carey <stvjc@channing.harvard.edu>
Munoz Carey Rosner et al, Biometrics 1992
gee, geepack, nlme, reshape
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