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avgint_id
 column below identifies
the corresponding row in the avgint_table
.
Only a subset of the rows of the avgint table is included.
The subset is defined by the following node and covariate conditions:
integer and is the primary key for this table.
Its initial value is zero, and it increments by one for each row.
integer and specifies the set of
model_variables
 that the 
avg_integrand
 corresponds to.
If source
 is
fit_var or truth_var, 
sample_index
 is null
(and the corresponding model variables are used).
Otherwise 
source
 is sample and 
sample_index
is the corresponding value in the
sample_table
.
This column is monotone non-decreasing; i.e. the value in each row
is greater than or equal the value in the previous row.
Each
sample_index
 value
in the sample table appears multiple times in the predict table,
once for each 
avgint_id
 in the
of the avgint subset
.
integer and specifies the
avgint_id
 that
avg_integrand
 corresponds to.
For each 
sample_index
 value,
avgint_id
 is monotone increasing and includes every element
of the avgint subset
.
real and is the
average integrand
@(@
A_i(u, \theta)
@)@.
The model variables @(@
(u, \theta)
@)@ corresponding to the
model variables with 
sample_index
 in sample_table
.
The subscript @(@
i
@)@ denotes the
information in the avgint table for the specified
avgint_id
.