distribution: Functions used to describe the characteristics of estimated...

In mlogit: Multinomial Logit Models

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 mlogit or a rpar object,
...	further arguments.
norm	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,
par	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.
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.

mlogit documentation built on Oct. 23, 2020, 5:29 p.m.