summary.mpl {nlreg}

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 )