Functions used to describe the characteristics of estimated random parameters
stdev(x, ...)rg(x, ...)
med(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, ...)
qrpar(x, ...)
prpar(x, ...)
drpar(x, ...)
# 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 numeric vector for `qrpar`, `drpar` and `prpar`, a numeric vector for `mean`, `stdev` and `med` and a numeric matrix for `rg`.
a `mlogit` or a `rpar` object,
further arguments.
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,
Yves Croissant
`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 `...`).
[mlogit()] for the estimation of random parameters logit models and [rpar()] for the description of `rpar` objects.