class_docstr: Results class for Beta regression
  
  This class inherits from GenericLikelihoodModelResults and not all
  inherited methods might be appropriate in this case.
class_docstr_tok: ["Results","class","for","Beta","regression","This","class","inherits","from","GenericLikelihoodModelResults","and","not","all","inherited","methods","might","be","appropriate","in","this","case","."]
docstr: In-sample predicted mean, conditional expectation.
docstr_tok: ["In-sample","predicted","mean",",","conditional","expectation","."]
code: def fittedvalues(self):
      """In-sample predicted mean, conditional expectation."""
      return self.model.predict(self.params)
  
imports: import numpy
  from scipy.special import gammaln
  import patsy
  import statsmodels.base.wrapper
  import statsmodels.regression.linear_model
  from statsmodels.tools.decorators import cache_readonly
  from statsmodels.base.model import GenericLikelihoodModel, GenericLikelihoodModelResults, _LLRMixin
  from statsmodels.genmod import families
label_desc: Use image node_id 1 for calling the BetaResults obj's underlying member method code with example usage: obj.fittedvalues() and returns: self