A list is returned with the following components:
varParthe maximum adjusted profile likelihood estimates of the variance
parameters.
coefficientsthe constrained MLEs of the regression coefficients
given the maximum adjusted profile likelihood estimates of the
variance parameters.
offsetthe 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.
varParMLEthe MLEs of the variance parameters.
coefMLEthe MLEs of the regression coefficients.
varParCovthe (asymptotic) covariance matrix of the variance parameters,
that is, the corresponding block in the inverse of the observed
information matrix.
coefCovthe (asymptotic) covariance matrix of the regression coefficients,
that is, the corresponding block in the inverse of the observed
information matrix.
lmpthe adjusted profile log likelihood from the fit.
lpthe profile log likelihood from the fit.
statsthe indicator of which higher order solution was used.
formulathe model formula.
meanFunthe formula expression of the mean function.
varFunthe formula expression of the variance function.
dataa list representing a summary of the original data with the
following components.
'offset name'
the predictor variable with no duplicated value.
repl
the number of replicates available for each value of the
predictor.
dupl
a vector of the same length than the predictor variable
indicating the position of each data point in the
offset name component.
t1
the sum of the reponses for each design point in the
offset name component.
t2
the sum of the squared responses for each design point in
the offset name component.
nobsthe number of observations.
iterthe number of interations needed for convergence; only if
offset
was not NULL
in the call to
mpl.nlreg
which generated object
.
callan image of the call to mpl.nlreg
, but with
all the arguments explicitly named.
wsthe workspace component of the original
nlreg object
plus the following
components:
corr
a logical value indicating whether the correlation matrix
should be printed.
digits
the number of significant digits to be printed.