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lines 5-68 of file: example/user/age_avg_split.py
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# {xrst_begin user_age_avg_split.py}
# {xrst_comment_ch #}
#
# Non-uniform Age Average Grid
# ############################
#
# Purpose
# *******
# This example demonstrate one reason for using the
# :ref:`option_table@Age Average Grid@age_avg_split` option to create an
# :ref:`age_avg_table@Age Average Grid`
# that is not uniformly spaced.
#
# Variables
# *********
# For this case there is only one rate *omega* for the parent node
# and there are no other :ref:`model_variables-name` .
#
# Prior
# *****
# The prior for *omega* is mean ``0.1`` and standard deviation
# ``.01`` for ages ``0.0`` and ``0.9`` .
# The prior for *omega* is mean ``0.01`` and standard deviation
# ``0.001`` for ages ``1.1`` and ``100.0`` .
#
# Data
# ****
# There is no data for this model; i.e., the prior is the only
# information available.
#
# Fit
# ***
# A fit is done, and this should make :ref:`fit_var_table-name`
# equal to the mean of the prior.
#
# Predict
# *******
# A predict is done for other cause mortality for two cases.
# The first case averages over the age interval ``[ 0.0, 0.9 ]`` .
# The second case averages over the age interval ``[ 1.1, 100.0 ]`` .
#
# ode_step_size
# *************
# The :ref:`option_table@Age Average Grid@ode_step_size` is
# ``50.0`` for this example.
# If there were no *age_avg_split* , a linear approximation
# would be used from age 0.0 to age 50.
#
# age_avg_split
# *************
# The age average grid is split at age ``1.0`` ; i.e.,
# The age average grid points are ``0.0`` , ``1.0`` , ``50.0`` , and
# ``100.0`` .
# A piecewise linear function of age is used between these grid points.
# (Note everything is constant w.r.t time for this case.)
#
# Source Code
# ***********
# {xrst_literal
#     BEGIN PYTHON
#     END PYTHON
# }
#
# {xrst_end user_age_avg_split.py}