Returns a summary list for objects of class cond
.
1 2 3 4 
object 
a 
alpha 
vector of levels for confidence intervals. The default is 5%. 
test 
vector of values of the parameter of interest one wants to test
for. If 
all 
logical value; if 
coef 
logical value; if 
int 
logical value; if 
digits 
number of significant digits to be printed. The default depends
on the value of 
... 
absorbs any additional argument. 
This function is a method for the generic function summary()
for objects of class cond
. It can be invoked by calling
summary
or directly summary.cond
for an object of the
appropriate class.
A list is returned with the following components.
coefficients 
a 2x2 matrix containing the unconditional and approximate conditional MLEs and their standard errors. 
conf.int 
a matrix containing, for each level given in 
signif.tests 
a list with two elements. The first ( 
call 
the function call that created the 
formula 
the model formula. 
family 
the variance function. 
offset 
the covariate occurring in the model formula whose coefficient represents the parameter of interest. 
alpha 
vector of levels used to compute the confidence intervals. 
hypotheses 
values for the parameter of interest that have been tested for. 
diagnostics 
information and nuisance parameters aspects; see

n.approx 
number of output points that have been calculated exactly. 
all 
logical value; if 
cf 
logical value; if 
int 
logical value; if 
is.scalar 
a logical value indicating whether there are any nuisance
parameters. If 
digits 
number of significant digits to be printed. 
The amount of information calculated may vary depending on whether there are any nuisance parameters.
1 2 3 4 5 6 
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
Please suggest features or report bugs with the GitHub issue tracker.
All documentation is copyright its authors; we didn't write any of that.