one_source_model: Bayesian model - One Source Trophic Position

In trps: Bayesian Trophic Position Models using 'stan'

Bayesian model - One Source Trophic Position

Description

Estimate trophic position using a one source model derived from Post 2002 using a Bayesian framework.

Usage

one_source_model(bp = FALSE)

Arguments

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

Details

\delta^{15}N = \delta^{15} N_1 + \Delta N \times (tp - \lambda_1)

\delta^{15}N are values from the consumer, \delta^{15} N_1 is mean \delta^{15}N values of baseline 1, \DeltaN is the trophic discrimination factor for N (i.e., dn mean of 3.4), tp is trophic position, and \lambda_1 is the trophic level of baselines which are often a primary consumer (e.g., 2).

The data supplied to brms() needs to have the following variables d15n, n1, and l1 (\lambda) which is usually 2.

Value

returns model structure for one source model to be used in a brms() call.

See Also

brms::brms()

Examples

one_source_model()

trps documentation built on April 4, 2025, 12:20 a.m.