MixedLMResults.profile_re()

statsmodels.regression.mixed_linear_model.MixedLMResults.profile_re

MixedLMResults.profile_re(re_ix, num_low=5, dist_low=1.0, num_high=5, dist_high=1.0) [source]

Calculate a series of values along a 1-dimensional profile likelihood.

Parameters:

re_ix : integer The index of the variance parameter for which to construct a profile likelihood. num_low : integer The number of points at which to calculate the likelihood below the MLE of the parameter of interest. dist_low : float The distance below the MLE of the parameter of interest to begin calculating points on the profile likelihood. num_high : integer The number of points at which to calculate the likelihood abov the MLE of the parameter of interest. dist_high : float The distance above the MLE of the parameter of interest to begin calculating points on the profile likelihood.

Returns:

An array with two columns. The first column contains the : values to which the parameter of interest is constrained. The : second column contains the corresponding likelihood values. :

Notes

Only variance parameters can be profiled. re_ix is the index of the random effect that is profiled.