estfun.gmnl: Gradient for Observations
In gmnl: Multinomial Logit Models with Random Parameters
Description
Usage
Arguments
Details
Value
References
Description
It extracts the gradient for each observation evaluated at the estimated parameters for an object of class gmnl.
Usage
1
2
## S3 method for class 'gmnl'
estfun(x, ...)
Arguments
x
a fitted model of class gmnl.
...
other arguments. Ignored.
Details
For more information see estfun from package sandwich.
Value
The gradient matrix of dimension n \times K
References
Zeileis A (2006), Object-oriented Computation of Sandwich
Estimators. Journal of Statistical Software, 16(9), 1–16.
gmnl documentation built on July 1, 2020, 6:01 p.m.
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Description Usage Arguments Details Value References
Description
It extracts the gradient for each observation evaluated at the estimated parameters for an object of class gmnl.
Usage
1 2 | ## S3 method for class 'gmnl'
estfun(x, ...)
|
Arguments
x |
a fitted model of class |
... |
other arguments. Ignored. |
Details
For more information see estfun from package sandwich.
Value
The gradient matrix of dimension n \times K
References
Zeileis A (2006), Object-oriented Computation of Sandwich Estimators. Journal of Statistical Software, 16(9), 1–16.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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