clus.vb.fit: Fit a Von Bertalanffy growth equation to clustered data via...

In fishmethods: Fishery Science Methods and Models

Fit a Von Bertalanffy growth equation to clustered data via bootstrapping

Description

Fits the von Bertalanffy growth equation to clustered length and age by using nonlinear least-squares and by bootstrapping clusters

Usage

clus.vb.fit(len = NULL, age = NULL, cluster = NULL, nboot = 1000,
sumtype = 1, control = list(maxiter=10000, minFactor=1/1024,tol=1e-5))

Arguments

len	vector of lengths of individual fish
age	vector of ages of individual fish
cluster	haul or cluster membership identifier
nboot	number of bootstrap samples
sumtype	use 1 = mean or 2 = median of bootstrap runs as the parameter and correlation coefficients values. Default is 1.
control	see control under function nls.

Details

A standard von Bertalanffy growth curve is fitted to length-at-age data of each nboot sample of clusters using nonlinear least-squares (function nls). Standard errors are calculated using function sd applied to bootstrap parameters.

Value

List containing a summary of successful model fits and parameter estimates, standard errors and 95 percent confidence intervals, and the average correlation matrix.

Author(s)

Gary A. Nelson, Massachusetts Division of Marine Fisheries [e-mail]

Examples

  ## Not run: 
	data(pinfish)
	with(pinfish,clus.vb.fit(len=sl,age=age,cluster=field_no,nboot=100))
  
## End(Not run)

fishmethods documentation built on April 27, 2023, 9:10 a.m.