univariate_density {fishboot} | R Documentation |
Univariate kernel density estimate plot of VBGF parameter from bootstrapping results
Description
This function plots a set of vertical plots with kernel density
distributions for univariate posterior distributions of the VBGF growth
parameters L_{inf}
, K
, and Phi’
. The 95
interval and the most likely optimum fit estimate are shown for each parameter.
Usage
univariate_density(
res,
CI = 95,
use_hist = FALSE,
nbreaks = 10,
mar = c(1.5, 2, 2, 0),
oma = c(1.5, 0, 0, 0.5),
mgp = c(2, 0.5, 0),
tcl = -0.25,
cex = 1,
...
)
Arguments
res |
Object of class |
CI |
|
use_hist |
|
nbreaks |
|
mar , oma , mgp , tcl , cex , ... |
Additional arguments passed to par. |
Details
This function used the function kde to obtain kernel density
estimates for the VBGF growth parameters L_{inf}
, K
, and
Phi’
. The 95
posterior distribution) and the most likely optimum fit estimate (i.e., the
mode of each posterior distribution) are then plotted inside each vertical
plot. The input used for plotting is usually the result of a bootstrapped
growth analysis (i.e. a lfqBoot
object generated by fishboot
functions such as ELEFAN_SA_boot, ELEFAN_GA_boot,
grotag_boot, or grolenage_boot).
Value
This function returns just the described plot.
Examples
data(alba_boot)
univariate_density(alba_boot)