BIC.femlm {FENmlm} | R Documentation |
This function computes the BIC (Bayesian information criterion) from a femlm
estimation.
## S3 method for class 'femlm' BIC(object, ...)
object |
An object of class |
... |
Optionally, more fitted objects. |
The BIC is computed as follows:
BIC = -2\times LogLikelihood + \log(nobs)\times nbParams
with k the penalty parameter.
You can have more information on this crtierion on AIC
.
It return a numeric vector, with length the same as the number of objects taken as arguments.
Laurent Berge
femlm
, AIC.femlm
, logLik.femlm
.
# two fitted models with different expl. variables: res1 = femlm(Sepal.Length ~ Sepal.Width + Petal.Length + Petal.Width | Species, iris) res2 = femlm(Sepal.Length ~ Petal.Width | Species, iris) AIC(res1, res2) BIC(res1, res2)