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smooth table defines a statistical
prior for a function of age and time.
To be more specific, each row corresponds to
a set of model model_variables
that,
using bilinear
interpolation,
define a function of age and time.
For each variable in the set its statistical prior is defined by a row of the
smooth_grid_table
which specifies an
age, time, value prior, age difference prior, and time difference prior.
(The difference priors represent the smoothing in a mathematical sense.)
integer and is the primary key for this table.
Its initial value is zero, and it increments by one for each row.
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.
integer and is the number of age values
in this smoothing grid. It must be greater than zero.
integer and is the number of _time values
in this smoothing grid. It must be greater than zero.
integer and its value is the
prior_id
for the variable that multiplies the
value_prior_id
standard deviations
for this
smooth_id
.
null (which corresponds to a multiplier of one).
integer and its value is the
prior_id
for the variable that multiplies the
dage_prior_id
standard deviations
for this
smooth_id
.
null (which corresponds to a multiplier of one).
integer and its value is the
prior_id
for the variable that multiplies the
dtime_prior_id
standard deviations
for this
smooth_id
.
null (which corresponds to a multiplier of one).
smooth_id
.
This is done by decreasing
n_age
(
n_time
) by one
and setting smooth_id
to null
for the points in the smooth_grid_table that are being removed.
smooth table.