class_docstr: Base Class for multivariate elliptical distributions, normal and t
  
  contains common initialization, and some common methods
  subclass needs to implement at least rvs and logpdf methods
class_docstr_tok: ["Base","Class","for","multivariate","elliptical","distributions",",","normal","and","t","contains","common","initialization",",","and","some","common","methods","subclass","needs","to","implement","at","least","rvs","and","logpdf","methods"]
docstr: return new standardized MVNormal instance
          
code: def standardized(self):
      """return new standardized MVNormal instance"""
      return self.affine_transformed(-self.mean, self.cholsigmainv)
  
imports: import numpy
  from scipy import special
  from statsmodels.sandbox.distributions.multivariate import mvstdtprob
  from .extras import mvnormcdf
label_desc: Use image node_id 9 for calling the MVElliptical obj's underlying member method code with example usage: obj.standardized() and returns: self