Arguments
varPar
the maximum adjusted profile likelihood estimates of the variance
parameters.
coefficients
the constrained MLEs of the regression coefficients
given the maximum adjusted profile likelihood estimates of the
variance parameters. offset
the values passed through the offset argument in the call
to mpl.nlreg that generated the mpl
object and to which the variance parameters were fixed. varParMLE
the MLEs of the variance parameters. coefMLE
the MLEs of the regression coefficients. varParCov
the (asymptotic) covariance matrix of the variance parameters,
that is, the corresponding block in the inverse of the observed
information matrix.
coefCov
the (asymptotic) covariance matrix of the regression coefficients,
that is, the corresponding block in the inverse of the observed
information matrix.
lmp
the adjusted profile log likelihood from the fit.
lp
the profile log likelihood from the fit.
stats
the indicator of which higher order solution was used.
formula
the model formula.
meanFun
the formula expression of the mean function.
varFun
the formula expression of the variance function.
data
a list representing a summary of the original data with the
following components.
[object Object],[object Object],[object Object],[object Object],[object Object]
nobs
the number of observations.
iter
the number of interations needed for convergence; only if
offset is not NULL.
call
an image of the call to mpl.nlreg, but with all the
arguments explicitly named.
ws
a list containing information that is used in subsequent
calculations, that is:
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]