ar1rlnorm: Generates a time series of possible bias-corrected lognormal...

In flr/FLCore: Core Package of FLR, Fisheries Modelling in R

Generates a time series of possible bias-corrected lognormal autocorrelated random values

Description

Thorston, 2020.

Usage

ar1rlnorm(
  rho,
  years,
  iters = 1,
  meanlog = 0,
  sdlog = 1,
  bias.correct = TRUE,
  ...
)

Arguments

rho	Autocorrelation coefficient.
years	Vector of year names.
iters	Number of iterations.
meanlog	Mean of the series in log space.
sdlog	Marginal standard deviation in log space.
bias.correct	Should bias-correction be applied? Defaults to TRUE.

Value

An FLQuant object

Author(s)

Iago Mosqueira (WMR), Henning Winker (JRC).

References

Thorson, J. T. Predicting recruitment density dependence and intrinsic growth rate for all fishes worldwide using a data-integrated life-history model. Fish Fish. 2020; 21: 237– 251. https://doi-org.ezproxy.library.wur.nl/10.1111/faf.12427

See Also

rlnorm

Examples

devs <- ar1rlnorm(rho=0.6, years=2000:2030, iter=500, meanlog=0, sdlog=1)
plot(devs)

flr/FLCore documentation built on May 4, 2024, midnight