R Graphical Manual

Last data update: 2014.03.03

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Results 1 - 10 of 12 found.
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vcov.mlogit (Package: mlogit) : vcov method for mlogit objects

The vcov method for mlogit objects extract the covariance matrix of the coefficients, the errors or the random parameters.

● Data Source: CranContrib
● Keywords: regression
● Alias: vcov.mlogit
● 0 images

rpar (Package: mlogit) : random parameter objects

rpar objects contain the relevant information about estimated random parameters. The homonymous function extract on rpar object from a mlogit object.

● Data Source: CranContrib
● Keywords: regression
● Alias: print.rpar, rpar, summary.rpar
● 0 images

scoretest (Package: mlogit) : The three tests for mlogit models

Three tests for mlogit models: specific methods for the Wald test and the likelihood ration test and a new function for the score test

● Data Source: CranContrib
● Keywords: htest
● Alias: lrtest, lrtest.mlogit, scoretest, scoretest.default, scoretest.mlogit, waldtest, waldtest.mlogit
● 0 images

hmftest (Package: mlogit) : Hausman-McFadden Test

Test the IIA hypothesis (independence of irrelevant alternatives) for a multinomial logit model.

● Data Source: CranContrib
● Keywords: htest
● Alias: hmftest, hmftest.formula, hmftest.mlogit
● 0 images

correlation (Package: mlogit) : Correlation structure of the random parameters

Functions that extract the correlation structure of a mlogit object

● Data Source: CranContrib
● Keywords: regression
● Alias: cor.mlogit, cov.mlogit
● 0 images

mlogit.optim (Package: mlogit) : Non-linear minimization routine

This function performs efficiently the optimization of the likelihood functions for multinomial logit models

● Data Source: CranContrib
● Keywords: regression
● Alias: mlogit.optim
● 0 images

mlogit (Package: mlogit) : Multinomial logit model

Estimation by maximum likelihood of the multinomial logit model, with alternative-specific and/or individual specific variables.

● Data Source: CranContrib
● Keywords: regression
● Alias: df.residual.mlogit, fitted.mlogit, logLik.mlogit, mlogit, model.matrix.mlogit, predict.mlogit, print.mlogit, print.summary.mlogit, residuals.mlogit, suml, summary.mlogit, terms.mlogit, update.mlogit
● 0 images

plot.mlogit (Package: mlogit) : Plot of the distribution of estimated random parameters

Methods for rpar and mlogit objects which provide a plot of the distribution of one or all of the estimated random parameters

● Data Source: CranContrib
● Keywords: regression
● Alias: plot.mlogit, plot.rpar
● 0 images

distribution (Package: mlogit) : Functions used to describe the characteristics of estimated

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.

● Data Source: CranContrib
● Keywords: regression
● Alias: distribution, drpar, drpar.mlogit, drpar.rpar, mean.mlogit, mean.rpar, med, med.mlogit, med.rpar, prpar, prpar.mlogit, prpar.rpar, qrpar, qrpar.mlogit, qrpar.rpar, rg, rg.mlogit, rg.rpar, stdev, stdev.mlogit, stdev.rpar
● 0 images

effects.mlogit (Package: mlogit) : Marginal effects of the covariates

The effects method for mlogit objects computes the marginal effects of the selected covariate on the probabilities of choosing the alternatives

● Data Source: CranContrib
● Keywords: regression
● Alias: effects.mlogit
● 0 images