| summary.all.nlreg.profiles | R Documentation | 
Returns a summary list for objects of class 
all.nlreg.profiles.
## S3 method for class 'all.nlreg.profiles'
summary(object, alpha = 0.05, twoside = TRUE, digits = NULL, ...)
object | 
 an   | 
alpha | 
 a vector of levels for confidence intervals; the default is 95%, 
that is,   | 
twoside | 
 a logical value.  If   | 
digits | 
 the number of significant digits to be printed.  | 
... | 
 absorbs any additional argument.  | 
This function is a method for the generic function 
summary for objects of class 
all.nlreg.profiles.  It can be invoked by calling 
summary or directly summary.all.nlreg.profiles for an 
object of the appropriate class.
A list is returned where the first components are named after the
parameters of the nonlinear model that was profiled.  Each component
represents a matrix with 
k\dim(\code{alpha}) rows and 2 columns, 
where k equals 2 or 4 depending on whether 
hoa = TRUE in the call that generated the 
nlreg.profile object. This matrix contains the upper and lower 
confidence bounds for the test statistics considered and for the
confidence levels defined through alpha.  The remaining 
components are the following:
mle | 
 a   | 
offset | 
 a vector of character strings returning the parameter names.  | 
twoside | 
 a logical value indicating whether two-sided or one-sided confidence intervals were calculated.  | 
hoa | 
 a logical value indicating whether higher order solutions were calculated.  | 
digits | 
 the number of significant digits to be printed.  | 
call | 
 an image of the call that produced the object, but with all arguments named.  | 
nlreg.profile.objects, 
profile.nlreg, summary
## Not run: 
data(metsulfuron)
metsulfuron.nl <- 
    nlreg( formula = log(area) ~ log( b1+(b2-b1) / (1+(dose/b4)^b3) ), 
           weights = ~ ( 1+dose^exp(g) )^2, data = metsulfuron, 
           start = c(b1 = 138, b2 = 2470, b3 = 2, b4 = 0.07, g = log(0.3)),
           hoa = TRUE )
##
metsulfuron.prof <- profile( metsulfuron.nl, trace = TRUE )
summary( metsulfuron.prof, alpha = c(0.1, 0.05) )
## End(Not run)
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