rpar
objects contain all the relevant information about
the distribution of random parameters. These functions enables to
obtain easily descriptive statistics, density, probability and
quantiles of the distribution.
med(x, ...)
stdev(x, ...)
rg(x, ...)
qrpar(x, ...)
prpar(x, ...)
drpar(x, ...)
# S3 method for rpar
mean(x, norm = NULL, ...)
# S3 method for rpar
med(x, norm = NULL, ...)
# S3 method for rpar
stdev(x, norm = NULL, ...)
# S3 method for rpar
rg(x, norm = NULL, ...)
# S3 method for mlogit
mean(x, par = NULL, norm = NULL, ...)
# S3 method for mlogit
med(x, par = NULL, norm = NULL, ...)
# S3 method for mlogit
stdev(x, par = NULL, norm = NULL, ...)
# S3 method for mlogit
rg(x, par = NULL, norm = NULL, ...)
# S3 method for rpar
stdev(x, norm = NULL, ...)
# S3 method for rpar
qrpar(x, norm = NULL, ...)
# S3 method for rpar
prpar(x, norm = NULL, ...)
# S3 method for rpar
drpar(x, norm = NULL, ...)
# S3 method for mlogit
qrpar(x, par = 1, y = NULL, norm = NULL, ...)
# S3 method for mlogit
prpar(x, par = 1, y = NULL, norm = NULL, ...)
# S3 method for mlogit
drpar(x, par = 1, y = NULL, norm = NULL, ...)
a mlogit
or a rpar
object,
the variable used for normalization if any : for the
mlogit
method, this should be the name of the parameter, for
the rpar
method the absolute value of the parameter,
the required parameter(s) for the mlogit
methods (either
the name or the position of the parameter(s). If NULL
, all
the random parameters are used.
values for which the function has to be evaluated,
further arguments.
a numeric vector for qrpar
, drpar
and prpar
, a
numeric vector for mean
, stdev
and med
and a
numeric matrix for rg
.
mean
, med
, stdev
and rg
compute
respectively the mean, the median, the standard deviation and the
range of the random parameter. qrpar
, prpar
,
drpar
return functions that compute the quantiles, the
probability and the density of the random parameters (note that
sd
and range
are not generic function in R
and
that median
is, but without ...
).
mlogit
for the estimation of random parameters logit models
and rpar
for the description of rpar
objects.