R/JAGS-formula-predictor-basis.R
JAGS_formula_coordinate_dependencies.RdJAGS_formula_coordinate_dependencies() reports every fitted formula
predictor that structurally depends on the supplied posterior coordinates.
It uses the persisted formula designs and parameter map, including direct
coefficients, formula expressions, coefficient multipliers, the parents of
expression-point coefficients and multipliers ("point_expression"), the
coordinates a random block samples itself ("random_effect": SDs, latent
deviations, group coefficients, correlations, and SD allocations and
inclusions), and
external random-effect SD sources ("random_sd_source"). A row-source
callback is reported as opaque for every queried coordinate: its declared
inputs are not used to narrow the dependencies, so a callback source is
conservatively treated as depending on every coordinate.
JAGS_formula_coordinate_dependencies(fit, coordinates)fitted object created by JAGS_fit().
unique fitted coordinate names.
A data frame with coordinate_name, formula_parameter, and
dependency_type columns. An empty data frame means that none of the
fitted formula predictors depends on the supplied coordinates.