logLik_vec: Evaluate loglikelihood contributions from specific...
In chantrics: Loglikelihood Adjustments for Econometric Models
Description
Usage
Arguments
Value
See Also
View source: R/logLik_vec_methods.R
Description
Generic function for calculating the loglikelihood contributions from
individual observations for a fitted model.
Usage
1
logLik_vec(object, ...)
Arguments
object
A fitted model object.
...
Further arguments.
Value
An object of class "logLik_vec", which is a numeric vector of length
nobs(object) (i.e. the number of observations in object) of the
loglikelihood of each observation. Additionally, it contains the
attributes df (model degrees of freedom) and nobs (number of
observations).
The methods stats::logLik(), and stats::nobs() are available.
See Also
chantrics documentation built on Sept. 29, 2021, 9:08 a.m.
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Description Usage Arguments Value See Also
View source: R/logLik_vec_methods.R
Description
Generic function for calculating the loglikelihood contributions from individual observations for a fitted model.
Usage
1 | logLik_vec(object, ...)
|
Arguments
object |
A fitted model object. |
... |
Further arguments. |
Value
An object of class "logLik_vec", which is a numeric vector of length
nobs(object) (i.e. the number of observations in object) of the
loglikelihood of each observation. Additionally, it contains the
attributes df (model degrees of freedom) and nobs (number of
observations).
The methods stats::logLik(), and stats::nobs() are available.
See Also
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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