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Drop legacy/unused prior fields

Source: R/clean_priors.R
clean_priors.Rd

clean_priors() removes elements from a priors list that are not used by the Kronecker model. This helps avoid passing unused or conflicting parameters (like omega, wishdf, or prec.par) into JAGS.

Usage

clean_priors(x)

Arguments

x

A base::list() of priors (e.g., from prep_priors()).

Value

A base::list() with the legacy fields removed.

Author

Kwan Ho Lee

Examples

# Example: remove unused fields
priors <- list(
  omega = 1,
  wishdf = 10,
  mu.hyp = matrix(0, 1, 1),
  prec.par = 5
)

cleaned <- clean_priors(priors)
print(names(cleaned))
#> [1] "mu.hyp"