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

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

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

Author

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

Examples

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