gnlsObject {nlme} | R Documentation |
An object returned by the gnls
function, inheriting from class
gnls
and also from class gls
, and representing a
generalized nonlinear least squares fitted model. Objects of this
class have methods for the generic functions anova
,
coef
, fitted
, formula
, getGroups
,
getResponse
, intervals
, logLik
, plot
,
predict
, print
, residuals
, summary
, and
update
.
The following components must be included in a legitimate gnls
object.
apVar |
an approximate covariance matrix for the
variance-covariance coefficients. If apVar = FALSE in the list
of control values used in the call to gnls , this
component is equal to NULL . |
call |
a list containing an image of the gnls call that
produced the object. |
coefficients |
a vector with the estimated nonlinear model coefficients. |
contrasts |
a list with the contrasts used to represent factors in the model formula. This information is important for making predictions from a new data frame in which not all levels of the original factors are observed. If no factors are used in the model, this component will be an empty list. |
dims |
a list with basic dimensions used in the model fit,
including the components N - the number of observations used in
the fit and p - the number of coefficients in the nonlinear
model. |
fitted |
a vector with the fitted values. |
modelStruct |
an object inheriting from class gnlsStruct ,
representing a list of model components, such as corStruct and
varFunc objects. |
groups |
a vector with the correlation structure grouping factor, if any is present. |
logLik |
the log-likelihood at convergence. |
numIter |
the number of iterations used in the iterative algorithm. |
plist |
|
pmap |
|
residuals |
a vector with the residuals. |
sigma |
the estimated residual standard error. |
varBeta |
an approximate covariance matrix of the coefficients estimates. |
Jose Pinheiro Jose.Pinheiro@pharma.novartis.com and Douglas Bates bates@stat.wisc.edu
gnls
, gnlsStruct