Functions used to describe the characteristics of estimated random parameters
Functions used to describe the characteristics of estimated random parameters
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, ...)
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, |
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 ...
).
a numeric vector for qrpar
, drpar
and prpar
, a
numeric vector for mean
, stdev
and med
and a numeric
matrix for rg
.
Yves Croissant
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