Last data update: 2014.03.03
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R Release (3.2.3)
CranContrib
BioConductor
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SMO (statistical methods ontology)
Results 1 - 10 of 12 found.
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Images
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