code: def linear_mixed_model(
      y,
      x,
      z_t=None,
      k=None,
      p_path=None,
      overwrite=False,
      standardize=True,
      mean_impute=True,
  ):
      r"""Initialize a linear mixed model from a matrix table.
  
      .. warning::
  
          This functionality is no longer implemented/supported as of Hail 0.2.94.
      """
      raise NotImplementedError(
          "linear_mixed_model is no longer implemented/supported as of Hail 0.2.94"
      )
  
imports: import builtins
  import itertools
  import math
  from typing import Dict, Callable, Optional, Union, Tuple, List
  import hail
  import hail
  import hail.expr.aggregators
  from hail import ir
  from hail.expr import Expression, ExpressionException, expr_float64, expr_call, expr_any, expr_numeric, expr_locus, analyze, raise_unless_entry_indexed, raise_unless_row_indexed, matrix_table_source, table_source, raise_unless_column_indexed
  from hail.expr.types import tbool, tarray, tfloat64, tint32
  from hail.genetics.reference_genome import reference_genome_type
  from hail.linalg import BlockMatrix
  from hail.matrixtable import MatrixTable
  from hail.methods.misc import require_biallelic, require_row_key_variant
  from hail.stats import LinearMixedModel
  from hail.table import Table
  from hail.typecheck import typecheck, nullable, numeric, oneof, sized_tupleof, sequenceof, enumeration, anytype
  from hail.utils import wrap_to_list, new_temp_file, FatalError
  from hail.utils.java import Env, info, warning
  from .None import pca
  from .None import relatedness
  from ..backend.spark_backend import SparkBackend
label_desc: Use image node_id 19 for calling a global function with example usage: linear_mixed_model(y, x, z_t, k, p_path, overwrite, standardize, mean_impute) without return types