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@(@\newcommand{\B}[1]{ {\bf #1} } \newcommand{\R}[1]{ {\rm #1} } \newcommand{\W}[1]{ \; #1 \; }@)@This is dismod_at-20221105 documentation: Here is a link to its current documentation .
The Covariate Table

Discussion
covariate_id
covariate_name
reference
max_difference
     Data Subset Table
     Avgint Subset
Example

Discussion
The covariate table is used to identify covariate columns in the data table. It has the following columns:

covariate_id
This column has type integer and is the primary key for this table. Its initial value is zero, and it increments by one for each row.

covariate_name
This column has type text and has a different value for every row; i.e., the names are unique and can act as substitutes for the primary key. The names are intended to be easier for a human to remember than the ids.

reference
The column has type real and is the reference value for the corresponding covariate; i.e., the covariate value that corresponds to no adjustment.

max_difference
The column has type real and is the maximum absolute difference, from the reference value, for the corresponding covariate. This value must be greater than or equal zero. The max_difference value null is interpreted as plus infinity and hence no exclusion is done for the corresponding covariate.

Data Subset Table
Rows in the data table for which the covariate corresponding to this covariate_id has a maximum absolute difference greater than max_difference , are not included in the data_subset_table and the fit_data_subset_table .

Avgint Subset
Rows in the avgint_table for which the covariate corresponding to this covariate_id has a maximum absolute difference greater than max_difference , are not included in the predict_table ; see the heading Covariates for the predict table .

Example
The file covariate_table.py contain example covariate table.
Input File: omh/table/covariate_table.omh