estfun.Rchoice: Gradient for observations
In Rchoice: Discrete Choice (Binary, Poisson and Ordered) Models with Random Parameters
View source: R/Rchoice.methods.R
estfun.Rchoice R Documentation
Gradient for observations
Description
It extracts the gradient for each observations evaluated at the estimated parameters for a model of class Rchoice
Usage
## S3 method for class 'Rchoice'
estfun(x, ...)
Arguments
x
a fitted model of class Rchoice,
...
Other arguments when estfun is applied to another
class object
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.
Rchoice documentation built on March 31, 2023, 11:13 p.m.
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View source: R/Rchoice.methods.R
| estfun.Rchoice | R Documentation |
Gradient for observations
Description
It extracts the gradient for each observations evaluated at the estimated parameters for a model of class Rchoice
Usage
## S3 method for class 'Rchoice'
estfun(x, ...)
Arguments
x |
a fitted model of class |
... |
Other arguments when |
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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