docstr: Gradient of logL with respect to theta.
  
  This is the score function of the model
docstr_tok: ["Gradient","of","logL","with","respect","to","theta",".","This","is","the","score","function","of","the","model"]
code: def score(self, theta, Y, nuisance=None):
      """Gradient of logL with respect to theta.
  
      This is the score function of the model
      """
      raise NotImplementedError
  
imports: import numpy
  from nibabel.onetime import auto_attr
  from numpy.linalg import inv
  from scipy.stats import t
  from ...utils.matrices import pos_recipr
label_desc: Use image node_id 2 for calling the LikelihoodModel obj's underlying member method code with example usage: obj.score(theta, Y, nuisance) without return types