Bayesian information criterion
This function computes the BIC (Bayesian information criterion) from a fixest estimation.
## S3 method for class 'fixest' BIC(object, ...)
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 criterion on AIC.
It return a numeric vector, with length the same as the number of objects taken as arguments.
Laurent Berge
See also the main estimation functions femlm, feols or feglm. Other statistics functions: AIC.fixest, logLik.fixest.
# 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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.