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: Pearson standardize residual
docstr_tok: ["Pearson","standardize","residual"]
code: def resid_pearson(self):
      """Pearson standardize residual"""
      std = np.sqrt(self.model.predict(self.params, which="var"))
      return self.resid / std
  
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 4 for calling the BetaResults obj's underlying member method code with example usage: obj.resid_pearson() and returns: unknown