| summary.mpl {nlreg} | R Documentation |
Returns a summary list for objects of class mpl.
## S3 method for class 'mpl': summary(object, correlation = FALSE, digits = NULL, ...)
object |
a fitted mpl object, that is, the result of a call to
mpl.nlreg.
|
correlation |
logical argument. If TRUE, the (asymptotic) correlation
matrix for the
parameter estimates is computed; default is FALSE.
|
digits |
the number of significant digits to be printed. Defaults to
NULL.
|
... |
absorbs any additional argument. |
This function is a method for the generic function
summary for
class mpl. It can be invoked by calling summary for an
object of the appropriate class, or directly by calling
summary.mpl regardless of the class of the object.
A list is returned with the following components:
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.
|
nobs |
the number of observations. |
iter |
the number of interations needed for convergence; only if
offset was not NULL in the call to
mpl.nlreg which generated object.
|
call |
an image of the call to mpl.nlreg, but with
all the arguments explicitly named.
|
ws |
the workspace component of the original
nlreg object plus the following
components:
|
mpl.object, nlreg.object,
summary
data(metsulfuron)
metsulfuron.nl <-
nlreg( formula = log(area) ~ log( b1+(b2-b1) / (1+(dose/b4)^b3) ),
weights = ~ ( 1+dose^exp(g) )^2, data = metsulfuron, hoa = TRUE,
start = c(b1 = 138, b2 = 2470, b3 = 2, b4 = 0.07, g = log(0.3)) )
##
metsulfuron.mpl <- mpl( metsulfuron.nl, trace = TRUE )
summary( metsulfuron.mpl, corr = FALSE )