distribution {mlogit} | R Documentation |
Functions used to describe the characteristics of estimated random parameters
Description
Functions used to describe the characteristics of estimated random parameters
Usage
stdev(x, ...)
rg(x, ...)
med(x, ...)
## S3 method for class 'rpar'
mean(x, norm = NULL, ...)
## S3 method for class 'rpar'
med(x, norm = NULL, ...)
## S3 method for class 'rpar'
stdev(x, norm = NULL, ...)
## S3 method for class 'rpar'
rg(x, norm = NULL, ...)
## S3 method for class 'mlogit'
mean(x, par = NULL, norm = NULL, ...)
## S3 method for class 'mlogit'
med(x, par = NULL, norm = NULL, ...)
## S3 method for class 'mlogit'
stdev(x, par = NULL, norm = NULL, ...)
## S3 method for class 'mlogit'
rg(x, par = NULL, norm = NULL, ...)
qrpar(x, ...)
prpar(x, ...)
drpar(x, ...)
## S3 method for class 'rpar'
qrpar(x, norm = NULL, ...)
## S3 method for class 'rpar'
prpar(x, norm = NULL, ...)
## S3 method for class 'rpar'
drpar(x, norm = NULL, ...)
## S3 method for class 'mlogit'
qrpar(x, par = 1, y = NULL, norm = NULL, ...)
## S3 method for class 'mlogit'
prpar(x, par = 1, y = NULL, norm = NULL, ...)
## S3 method for class 'mlogit'
drpar(x, par = 1, y = NULL, norm = NULL, ...)
Arguments
x |
a |
... |
further arguments. |
norm |
the variable used for normalization if any : for the
|
par |
the required parameter(s) for the |
y |
values for which the function has to be evaluated, |
Details
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.
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 ...
).
Value
a numeric vector for qrpar
, drpar
and prpar
, a
numeric vector for mean
, stdev
and med
and a numeric
matrix for rg
.
Author(s)
Yves Croissant
See Also
mlogit()
for the estimation of random parameters logit
models and rpar()
for the description of rpar
objects.