summary.mpl: Summary Method for 'mpl' Objects

In nlreg: Higher Order Inference for Nonlinear Heteroscedastic Models

Summary Method for ‘mpl’ Objects

Description

Returns a summary list for objects of class mpl.

Usage

## S3 method for class 'mpl'
summary(object, correlation = FALSE, digits = NULL, ...)

Arguments

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.

Details

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.

Value

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. '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.
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: corr a logical value indicating whether the correlation matrix should be printed. digits the number of significant digits to be printed.

See Also

mpl.object, nlreg.object, summary

Examples

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 )

nlreg documentation built on June 8, 2025, 10:39 a.m.