sensitivity: A function to check the sensitivity of cnp_model predictions...

In fishflux: Model Elemental Fluxes in Fishes

A function to check the sensitivity of cnp_model predictions based on the variation of input parameters

Description

This function runs the cnp_model fixing all parameters SD's but one to test for sensitivity

Usage

sensitivity(
  TL,
  param,
  iter = 1000,
  par,
  out = c("Ic", "In", "Ip", "Gc", "Gn", "Gp", "Fc", "Fn", "Fp", "Wc", "Wn", "Wp"),
  ...
)

Arguments

TL	total length of a fish in cm
param	list of all parameter means ("_m") and standard deviations ("_sd") Default parameters are set with very low sd's. See cnp_model_mcmc for a list of all requested parameters
iter	A positive integer specifying the number of iterations. The default is 1000
par	Charachter vector specifying which input parameter sd's should be used for sensitivity.
out	Charachter vector specifying which output parameter sd's should be returned.
...	Other arguments that can be used from cnp_model_mcmc

Value

Returns a dataframe with sd's of model predictions. Row names indicate the variable, who's sd was used for the model run. Plots a heatplot with width of the 95

Examples

library(fishflux)
sensitivity(TL = 10, param = list(k_sd = 0.2, Dn_sd = 0.2, Dc_sd = 0.1),
            par = c("k_sd","Dn_sd","Dc_sd"), out = c("Ic", "In", "Ip", "Gc"))

fishflux documentation built on May 6, 2022, 9:06 a.m.