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prior_sim_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 . Simulated Variation in Prior
Discussion
prior_sim_id
simulate_index
var_id
prior_sim_value
     zero_sum_child_rate
     zero_sum_mulcov_group
prior_sim_dage
prior_sim_dtime
Censoring
Example

Discussion
The prior_sim table is created during a simulate_command . It contains number_simulate sets of priors where each set has one row for each variable in the var_table . Each row has a value, age difference, and time difference prior.

prior_sim_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.

simulate_index
The column has type integer. It specifies the index for this simulated prior value. This index starts at zero, repeats as the same for the entire set of var_id values, and then increments by one between prior sets. The final (maximum) value for simulate_index is number_simulate minus one.

var_id
This column has type integer and is the primary key for the var_table . This identifies which var_id each row of the prior_sim table corresponds to. If n_var is the number of rows in the var table,
   prior_sim_id = simulate_index * n_var + var_id
for simulate_index equal zero to number_simulate-1 and var_id equal zero to n_var-1 .

prior_sim_value
This column has type real and is a simulated from the value prior for this variable. If there is no value prior, or if the density for the value prior is uniform, prior_sim_value is null.

zero_sum_child_rate
If the zero_sum_child_rate option is chosen for a rate, the simulated values for the corresponding child rate effects will sum to zero at each grid point in the corresponding smoothing for; see child_smooth_id in the rate table. Note that using zero_sum_child_rate for a rate requires that the same smoothing is used by all the child random effects for that rate. This is done by simulating using independent priors and then subtracting averages of the simulated values.

zero_sum_mulcov_group
If the zero_sum_mulcov_group option is chosen for a group, the simulated values for the corresponding subgroup covariate multipliers will sum to zero at each grid point in the corresponding smoothing. This summation is with respect to subgroups in the group specified by a group_id in the mulcov table.

prior_sim_dage
This column has type real and is a simulated from the dage prior for this variable. If there is no dage prior, or if the density for the dage prior is uniform, prior_sim_dage is null.

prior_sim_dtime
This column has type real and is a simulated from the dtime prior for this variable. If there is no dtime prior, or if the density for the dtime prior is uniform, prior_sim_dtime is null.

Censoring
If the simulated values for the prior is censored to be within the upper and lower limits for the corresponding variable. To be specific, if sim is the value simulated just using the density_id , and lower , upper are the corresponding limits; the corresponding simulated value or difference is
   max[ upper, min( lower , sim ) ]

Example
See the simulate_command.py example and test.

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Input File: omh/table/prior_sim_table.omh