major checkpoint for irasa and glm irasa

    contrasts : dict or None

        Dictionary of contrasts to be computed in the model.

        (Default value = None, will add a simple contrast for each regressor)

    fit_method : {'pinv', 'lstsq', 'glmtools', sklearn estimator instance}

        Specifies how the GLM parameters will be estimated.

        * `pinv` uses the design matrix psuedo-inverse method

        * `lstsq` uses np.linalg.lstsq.

        * `glmtools` uses the OLSModel from the glmtools package.

        * A parametrised instance of a sklearn estimator is used if specified here. (Default value = 'pinv')

    fit_intercept : bool

        Specifies whether a constant valued 'intercept' regressor is included in the model. (Default value = True)"""