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Bayesian priors - Two Source Trophic Position with \(\alpha_r\) and carbon mixing model

Source: R/two_source_priors_arc.R
two_source_priors_arc.Rd

Create priors for trophic position using a two source model with \(\alpha_r\) derived from Post 2002 and Heuvel et al. 2024.

Usage

two_source_priors_arc(bp = FALSE)

Arguments

bp

logical value that controls whether informed priors are supplied to the model for both \(\delta^{15}\)N and \(\delta^{15}\)C baselines. Default is FALSE meaning the model will use uninformed priors, however, the supplied data.frame needs values for both \(\delta^{15}\)N and \(\delta^{15}\)C baseline (c1, c2, n1, and n2).

Value

returns priors for two source model to be used in a brms() call.

See also

brms::brms()

Examples

two_source_priors_arc()
#>                        prior class coef group  resp dpar nlpar    lb       ub
#>                   beta(a, b)     b            alpha         ar     0        1
#>                   beta(a, b)     b             d13c         ar     0        1
#>                   beta(a, b)     b             d15n         ar     0        1
#>         normal(dn, dn_sigma)     b             d15n         dn  <NA>     <NA>
#>        uniform(tp_lb, tp_ub)     b             d15n         tp tp_lb    tp_ub
#>  uniform(sigma_lb, sigma_ub) sigma            alpha             <NA> sigma_ub
#>  uniform(sigma_lb, sigma_ub) sigma             d13c             <NA> sigma_ub
#>  uniform(sigma_lb, sigma_ub) sigma             d15n             <NA> sigma_ub
#>  source
#>    user
#>    user
#>    user
#>    user
#>    user
#>    user
#>    user
#>    user