![]() |
Prev | Next | predict_table |
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
.