vcov.mlogit | R Documentation |
The 'vcov' method for 'mlogit' objects extract the covariance matrix of the coefficients, the errors or the random parameters.
## S3 method for class 'mlogit'
vcov(
object,
what = c("coefficient", "errors", "rpar"),
subset = c("all", "iv", "sig", "sd", "sp", "chol"),
type = c("cov", "cor", "sd"),
reflevel = NULL,
...
)
## S3 method for class 'vcov.mlogit'
print(x, ...)
## S3 method for class 'vcov.mlogit'
summary(object, ...)
## S3 method for class 'summary.vcov.mlogit'
print(
x,
digits = max(3, getOption("digits") - 2),
width = getOption("width"),
...
)
object |
a 'mlogit' object (and a 'vcov.mlogit' for the summary method), |
what |
indicates which covariance matrix has to be extracted : the default value is 'coefficients', in this case, 'vcov' behaves as usual. If 'what' equals 'errors' the covariance matrix of the errors of the model is returned. Finally, if 'what' equals 'rpar', the covariance matrix of the random parameters are extracted, |
subset |
the subset of the coefficients that have to be extracted (only relevant if 'what' ' = "coefficients"'), |
type |
with this argument, the covariance matrix may be returned (the default) ; the correlation matrix with the standard deviation on the diagonal may also be extracted, |
reflevel |
relevent for the extraction of the errors of a multinomial probit model ; in this case the covariance matrix is of error differences is returned and, with this argument, the alternative used for differentiation is indicated, |
... |
further arguments. |
x |
a 'vcov.mlogit' or a 'summary.vcov.mlogit' object, |
digits |
the number of digits, |
width |
the width of the printing, |
This new interface replaces the 'cor.mlogit' and 'cov.mlogit' functions which are deprecated.
Yves Croissant
[mlogit()] for the estimation of multinomial logit models.
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