alba_boot: Bootstrapped VBGF estimates for the alba lfq dataset

In rschwamborn/fishboot: Bootstrap-based methods for the study of fish stocks and aquatic populations

Description

Bootstrapped VBGF estimates for the alba lfq dataset as estimated by ELEFAN_GA.

Usage

data(alba_boot)

Format

A list of class 'lfqBoot'

Examples

#### For documentation only - How data was produced ####
library(parallel)
library(TropFishR)
library(ks)

data(alba)

# ELEFAN_GA_boot settings
MA <- 7
low_par <- list(Linf = 8, K = 0.1, t_anchor = 0, C = 0, ts = 0)
up_par <- list(Linf = 15, K = 5, t_anchor = 1, C = 1, ts = 1)
seasonalised <- FALSE
popSize <- 100
maxiter <- 50
run <- 10
pmutation <- 0.2
nresamp <- 200

# Bootstrapped estimates
alba_boot <- ELEFAN_GA_boot(lfq=alba, MA = MA, seasonalised = seasonalised,
  up_par = up_par, low_par = low_par,
  popSize = popSize, maxiter = maxiter, run = run, pmutation = pmutation,
  nresamp = nresamp, parallel = TRUE, no_cores = detectCores(),
  seed = 20
)



data(alba_boot)

head(alba_boot$bootRaw)
head(alba_boot$seed)

# plot
univariate_density(alba_boot)
LinfK_scatterhist(alba_boot, phi.contour = TRUE)

rschwamborn/fishboot documentation built on July 27, 2019, 12:36 a.m.