Confidence intervals for parameters of a selmclass object
Description
Computes confidence intervals for parameters in a selmclass object produces
by selm
fit when the response variable is univariate.
Usage
1 2 
Arguments
object 
an object of class 
parm 
a specification of which parameters are to be given confidence intervals, either a vector of numbers or a vector of names. If missing, all parameters are considered. 
level 
the confidence level required (default value is 
param.type 
a character string with the required parameterization; it must be either

tol 
the desired accuracy (convergence tolerance); this is a parameter
passed to 
... 
not used, only there for compatibility reasons. 
Details
A description of the methodology underlying confint.selm
is available
in the technical note of Azzalini (2016). This also explains why in certain
cases an interval is not constructed and NA
's are returned as endpoint.
Value
An invisible list whose components, described below, are partly different in the one and the twoparameter cases.
call 
the calling statement 
<param1> 
values of the first parameter 
<param2> 
values of the second parameter (in a twoparameter case) 
logLik 
numeric vector or matrix of the profile loglikelihood values 
confint 
in the oneparameter case, the confidence interval 
level 
in the oneparameter case, the confidence level 
deviance.contour 
in the twoparameter case, a list of lists whose elements identify each curve of the contour plot 
Author(s)
Adelchi Azzalini
References
Azzalini, A. (2016).
Derivation of various types of intervals from a selm
object.
Technical note distributed with the documentation of the R package
sn
, in file selmintervals.pdf
See Also
selm
, summary.selm
, profile.selm
,
makeSECdistr
for the CP/DP parameterizations,
uniroot
for its tol
argument
Examples
1 2 3 4 5 6 