| summary.nlreg.profile {nlreg} | R Documentation |
Returns a summary list for objects of class nlreg.profile.
## S3 method for class 'nlreg.profile': summary(object, alpha = 0.05, twoside = TRUE, digits = NULL, ...)
object |
a nlreg.profile object, that is, the result of a call to
profile.nlreg.
|
alpha |
a vector of levels for confidence intervals; the default is
1-alpha=0.95.
|
twoside |
a logical value. If TRUE, two-sided confidence intervals
are returned. The default is TRUE.
|
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
nlreg.profile. It can be invoked by calling summary
or directly summary.nlreg.profile for an object of the
appropriate class.
A list is returned with the following components:
CI |
a matrix with k*dim(alpha) rows
and 2 columns, where k equals 2 or 4 depending on whether
hoa = TRUE in the call that generated object. This
matrix contains the upper and lower confidence bounds for the
considered test statistics and for the confidence levels specified
through alpha.
|
inf.sk, np.sk, inf.fr, np.fr |
the information and nuisance parameters aspects, that is, the two
terms into which the higher order adjustment leading to the
r* statistic can be decomposed. The two versions refer
to respectively Skovgaard's (1996) proposal and Fraser,
Reid and Wu's (1999) solution. Only if
hoa = TRUE in the function call that generated the
nlreg.profile object argument object.
|
mle |
a numerical vector giving the MLE of the parameter of interest and its standard error. |
offset |
character string giving the name of the interest parameter. |
twoside |
a logical value indicating whether two-sided or one-sided confidence intervals were calculated. |
points |
the number of output points at which the considered statistics were calculated exactly. |
n |
the approximate number of points used in the spline interpolation of the considered statistics. |
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. |
... |
absorbs additional arguments. |
Fraser, D.A.S., Reid, N. and Wu, J. (1999). A simple general formula for tail probabilities for frequentist and Bayesian inference. Biometrika, 86, 249–264.
Skovgaard, I. (1996) An explicit large-deviation approximation to one-parameter tests. Bernoulli, 2, 145–165.
nlreg.profile.object,
profile.nlreg,
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,
start = c(b1 = 138, b2 = 2470, b3 = 2, b4 = 0.07, g = log(0.3)),
hoa = TRUE )
##
metsulfuron.prof <- profile( metsulfuron.nl, offset = g, trace = TRUE )
summary( metsulfuron.prof, alpha = c(0.9, 0.95) )