statsmodels.regression.mixed_linear_model.MixedLM.loglike

MixedLM.loglike(params, profile_fe=True) [source]

Evaluate the (profile) log-likelihood of the linear mixed effects model.

Parameters:	params (MixedLMParams, or array-like.) – The parameter value. If array-like, must be a packed parameter vector containing only the covariance parameters. profile_fe (boolean) – If True, replace the provided value of fe_params with the GLS estimates.
Returns:
Return type:	The log-likelihood value at params.

Notes

The scale parameter scale is always profiled out of the log-likelihood. In addition, if profile_fe is true the fixed effects parameters are also profiled out.