docstr: Loglikelihood for observations of the Beta regressionmodel.
  
  Parameters
  ----------
  params : ndarray
      The parameters of the model, coefficients for linear predictors
      of the mean and of the precision function.
  
  Returns
  -------
  loglike : ndarray
      The log likelihood for each observation of the model evaluated
      at `params`.
docstr_tok: ["Loglikelihood","for","observations","of","the","Beta","regressionmodel",".","Parameters","--","--","--","--","--","params",":","ndarray","The","parameters","of","the","model",",","coefficients","for","linear","predictors","of","the","mean","and","of","the","precision","function",".","Returns","--","--","--","-","loglike",":","ndarray","The","log","likelihood","for","each","observation","of","the","model","evaluated","at","`","params","`","."]
code: def loglikeobs(self, params):
      """
      Loglikelihood for observations of the Beta regressionmodel.
  
      Parameters
      ----------
      params : ndarray
          The parameters of the model, coefficients for linear predictors
          of the mean and of the precision function.
  
      Returns
      -------
      loglike : ndarray
          The log likelihood for each observation of the model evaluated
          at `params`.
      """
      return self._llobs(
          self.endog, self.exog, self.exog_precision, 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 7 for calling the BetaModel obj's underlying member method code with example usage: obj.loglikeobs(params) and returns: self