one_source_model {trps} | R Documentation |
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 |
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,
\Delta
N 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
Examples
one_source_model()