The CppAD Mixed Information Table

mixed_info_table

@(@\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 CppAD Mixed Information Table
Discussion
Format
     mixed_info_id
     mixed_name
     mixed_value
n_fixed
n_random
quasi_fixed
A_nr
A_nnz
ran_like_fun.size_var
fix_like_fun.size_var

Discussion
A new version of this table is created each time a fit_command is run. The table contains information about the size of certain cppad_mixed objects. It is useful for seeing how the problem setup affects the size (and hence time) of the problem. For example, how different the size is when one uses a hold_out_command to sub-sample the data.

Format
Each row of this table has the following information:

mixed_info_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.

mixed_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. Some of the possible values for mixed_name are listed below. There may be other (unspecified) rows in this table.

mixed_value
This column has type text and is the value for the corresponding name.

n_fixed
If mixed_name is n_fixed, mixed_value is the number of fixed effects.

n_random
If mixed_name is n_random, mixed_value is the number of fixed effects.

quasi_fixed
If mixed_name is quasi_fixed, mixed_value is one (zero) if we are a using a quasi-Newton (Newton) method for optimizing the fixed effects.

A_nr
If mixed_name is A_nr, mixed_value is the number of rows in the liner constraint matrix A (the matrix has n_fixed columns).

A_nnz
If mixed_name is A_nnz, mixed_value is the number of non-zeros in the liner constraint matrix A.

ran_like_fun.size_var
If mixed_name is ran_like_fun.size_var, mixed_value is the number of variables in the algorithm that maps the fixed and random effects to the part of the likelihood that depends on the random effects.

fix_like_fun.size_var
If mixed_name is fix_like_fun.size_var, mixed_value is the number of variables in the algorithm that maps the fixed effects to the part of the likelihood that does not depend on the random effects.

Input File: omh/table/mixed_info_table.omh