There should be a seed-argument for all functions involving randomness cf this question (and comment-answer) on StackOverflow: https://stackoverflow.com/questions/73416610/why-is-set-seed-not-working-for-mcp-r-package
Suggested behavior for mcp():
mcp(..., seed = 42) sets a seed before producing chains "random" numbers, passing them as seeds to rjags chains.mcp(..., seed = c(1,2,3)) requires length(seed) == length(chains) and passes these seeds directly to rjags chains.mcp(..., seed = NULL) (default) lets rjags set seeds for the chains.
tidy_samples(), fitted(), plot(), etc. should just accept an atomic numeric seed or NULL.
There should be a seed-argument for all functions involving randomness cf this question (and comment-answer) on StackOverflow: https://stackoverflow.com/questions/73416610/why-is-set-seed-not-working-for-mcp-r-package
Suggested behavior for
mcp():mcp(..., seed = 42)sets a seed before producingchains"random" numbers, passing them as seeds to rjags chains.mcp(..., seed = c(1,2,3))requireslength(seed) == length(chains)and passes these seeds directly to rjags chains.mcp(..., seed = NULL)(default) lets rjags set seeds for the chains.tidy_samples(),fitted(),plot(), etc. should just accept an atomic numericseedor NULL.