It extracts the gradient for each observations evaluated at the estimated parameters for a model of class Rchoice
● Data Source:
CranContrib
● Keywords:
● Alias: estfun.Rchoice
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cov.Rchoice
(Package: Rchoice) :
Functions for correlated random parameters
These are a set of functions that help to extract the variance-covariance matrix, the correlation matrix, and the standard error of the random parameters for models of class Rchoice.
● Data Source:
CranContrib
● Keywords:
● Alias: cor.Rchoice, cov.Rchoice, se.cov.Rchoice
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Rchoice
(Package: Rchoice) :
Estimate discrete choice model with random parameters
Estimation of discrete choice models such as Binary (logit and probit), Poisson and Ordered (logit and probit) model with random coefficients for cross-sectional and panel data using simulated maximum likelihood.
● Data Source:
CranContrib
● Keywords:
● Alias: Rchoice, coef.Rchoice, df.residual.Rchoice, fitted.Rchoice, logLik.Rchoice, model.matrix.Rchoice, nObs.Rchoice, ordinal, print.Rchoice, print.summary.Rchoice, residuals.Rchoice, summary.Rchoice, terms.Rchoice, update.Rchoice
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rFormula
(Package: Rchoice) :
Model formula for Rchoice models
Two kind of variables are used in models with individual heterogenetiy: the typical variables that enter in the latent process and those variables that enter in the random parameter (Hierarchical Model). rFormula deal with this type of models using suitable methods to extract the elements of the model.
● Data Source:
CranContrib
● Keywords:
● Alias: is.rFormula, model.frame.rFormula, model.matrix.rFormula, rFormula
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effect.Rchoice
(Package: Rchoice) :
Get the conditional individual coefficients
This a helper function to obtain the individuals' conditional estimate of the random parameters or compensating variations.
● Data Source:
CranContrib
● Keywords:
● Alias: effect.Rchoice
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vcov.Rchoice
(Package: Rchoice) :
vcov method for Rchoice objects
The vcov method for Rchoice objects extracts the covariance matrix of the coefficients or the random parameters. It also allows to get the standard errors for the variance-covariance matrix of the random parameters
● Data Source:
CranContrib
● Keywords:
● Alias: vcov.Rchoice
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plot.Rchoice
(Package: Rchoice) :
Plot of the distribution of conditional expectation of random parameters.
Plot the distribution of the conditional expectation of the random parameters or compensating variations for objects of class Rchoice.
● Data Source:
CranContrib
● Keywords:
● Alias: plot.Rchoice
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getSummary.Rchoice
(Package: Rchoice) :
Get Model Summaries for Use with "mtable"
A generic function to collect coefficients and summary statistics from a Rchoice object. It is used in mtable
● Data Source:
CranContrib
● Keywords:
● Alias: getSummary.Rchoice
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Computes the bread of the sandwich covariance matrix for a model of class Rchoice
● Data Source:
CranContrib
● Keywords:
● Alias: bread.Rchoice
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AIC.Rchoice
(Package: Rchoice) :
Akaike's Information Criterion
Calculate Akaike's information Criterion (AIC) or the Bayesian information Criterion (BIC) for a model of class Rchoice.
● Data Source:
CranContrib
● Keywords:
● Alias: AIC.Rchoice, BIC.Rchoice
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