statsmodels.regression.mixed_linear_model.MixedLMResults

class statsmodels.regression.mixed_linear_model.MixedLMResults(model, params, cov_params)

Class to contain results of fitting a linear mixed effects model.

MixedLMResults inherits from statsmodels.LikelihoodModelResults

Parameters:

See statsmodels.LikelihoodModelResults

Returns:

Attributes

model : class instance

Pointer to PHreg model instance that called fit.

normalized_cov_params : array

The sampling covariance matrix of the estimates

fe_params : array

The fitted fixed-effects coefficients

re_params : array

The fitted random-effects covariance matrix

bse_fe : array

The standard errors of the fitted fixed effects coefficients

bse_re : array

The standard errors of the fitted random effects covariance matrix

See also

statsmodels.LikelihoodModelResults

Methods

bse_fe()	Returns the standard errors of the fixed effect regression coefficients.
bse_re()	Returns the standard errors of the variance parameters.
profile_re(re_ix[, num_low, dist_low, ...])	Calculate a series of values along a 1-dimensional profile likelihood.
random_effects()	Returns the conditional means of all random effects given the data.
random_effects_cov()	Returns the conditional covariance matrix of the random effects for each group given the data.
summary([yname, xname_fe, xname_re, title, ...])	Summarize the mixed model regression results.

Attributes

use_t