:py:mod:`respy.pre_processing.specification_helpers`
====================================================

.. py:module:: respy.pre_processing.specification_helpers


Module Contents
---------------


Functions
~~~~~~~~~

.. autoapisummary::

   respy.pre_processing.specification_helpers.csv_template
   respy.pre_processing.specification_helpers._base_template
   respy.pre_processing.specification_helpers._type_prob_template
   respy.pre_processing.specification_helpers._type_shift_template
   respy.pre_processing.specification_helpers.initial_and_max_experience_template
   respy.pre_processing.specification_helpers.lagged_choices_probs_template
   respy.pre_processing.specification_helpers.lagged_choices_covariates_template
   respy.pre_processing.specification_helpers._base_row
   respy.pre_processing.specification_helpers.observable_prob_template
   respy.pre_processing.specification_helpers.observable_coeffs_template
   respy.pre_processing.specification_helpers.generate_obs_labels



.. py:function:: csv_template(n_types, n_type_covariates, initialize_coeffs=True)

   
   Create a template for the parameter specification.


   :Parameters:

       **n_types** : :class:`python:int`, optional
           Number of types in the model. Default is one.

       **n_type_covariates** : :class:`python:int`, optional
           Number of covariates to predict type probabilities. Can be two or three.

       **initialize_coeffs** : :ref:`bool <python:bltin-boolean-values>`, optional
           Whether coefficients are initialized with values or not. Default is ``True``.














   ..
       !! processed by numpydoc !!

.. py:function:: _base_template()


.. py:function:: _type_prob_template(n_types, n_type_covariates)


.. py:function:: _type_shift_template(n_types)


.. py:function:: initial_and_max_experience_template(edu_starts, edu_shares, edu_max)


.. py:function:: lagged_choices_probs_template(n_lagged_choices, choices)


.. py:function:: lagged_choices_covariates_template()


.. py:function:: _base_row(index_tuple, data)


.. py:function:: observable_prob_template(observables)


.. py:function:: observable_coeffs_template(observables, template)


.. py:function:: generate_obs_labels(observables, index)