spreg.akaike¶
-
spreg.
akaike
(reg)[source]¶ Calculates the Akaike Information Criterion. [Aka74]
- Parameters
- regregression object
output instance from a regression model
- Returns
- aic_resultscalar
value for Akaike Information Criterion of the regression.
Examples
>>> import numpy as np >>> import libpysal >>> from libpysal import examples >>> import spreg >>> from spreg import OLS
Read the DBF associated with the Columbus data.
>>> db = libpysal.io.open(examples.get_path("columbus.dbf"),"r")
Create the dependent variable vector.
>>> y = np.array(db.by_col("CRIME")) >>> y = np.reshape(y, (49,1))
Create the matrix of independent variables.
>>> X = [] >>> X.append(db.by_col("INC")) >>> X.append(db.by_col("HOVAL")) >>> X = np.array(X).T
Run an OLS regression.
>>> reg = OLS(y,X)
Calculate the Akaike Information Criterion (AIC).
>>> testresult = spreg.akaike(reg)
Print the result.
>>> testresult 380.7544776242982