docstr: Returns the (unnormalized) log-likelihood from the M estimator.
code: def deviance(self, tmp_results):
      """
      Returns the (unnormalized) log-likelihood from the M estimator.
      """
      tmp_resid = self.endog - tmp_results.fittedvalues
      return self.M(tmp_resid / tmp_results.scale).sum()
  
imports: import numpy
  import scipy.stats
  import statsmodels.base.model
  import statsmodels.base.wrapper
  import statsmodels.regression._tools
  import statsmodels.regression.linear_model
  import statsmodels.robust.norms
  import statsmodels.robust.scale
  from statsmodels.tools.decorators import cache_readonly
  from statsmodels.tools.sm_exceptions import ConvergenceWarning
label_desc: Use image node_id 7 for calling the RLM obj's underlying member method code with example usage: obj.deviance(tmp_results) and returns: self