pycmtensor.results

Contents

`pycmtensor.results`#

PyCMTensor results module

Module Contents#

class pycmtensor.results.Results[source]#

Class object to hold model results

rho_square()[source]#: Returns the rho square statistics

rho_square_bar()[source]#: Returns the rho square bar statistics

loglikelihood_ratio_test()[source]#: Returns the log likelihood ratio test statistics

AIC()[source]#: Returns the Akaike Information Criterion

BIC()[source]#: Returns the Bayesian Information Criterion

benchmark()[source]#: Returns a pandas DataFrame of a summary of the model benchmark

model_statistics()[source]#: Returns a pandas DataFrame of a summary of the model training

beta_statistics()[source]#: Returns a pandas DataFrame of the model beta statistics

model_correlation_matrix()[source]#: Returns a pandas DataFrame of the model correlation matrix

model_robust_correlation_matrix()[source]#: Returns a pandas DataFrame of the model (robust) correlation matrix