Par.init: Schaefer's data fitting and plotting

In habeebollah/montiR: Biomass dynamic models for fisheries using time series data fitting methods

Schaefer's data fitting and plotting

Description

This function is used to predict the initial Biomass Dynamic Model parameters as input to do the estimation in the latter process.

It also works to check the result of estimated parameters by plotting the data, whether the data and estimated parameter is fitted.

Usage

Par.init(K, B0, r, q, df, res = TRUE)

Arguments

K	surplus production parameters which represents carrying capacity
B0	surplus production parameters which represents biomass when no fishing activity has started
r	surplus production parameters which represents intrinsic growth rate
q	surplus production parameters which represents catchability coefficient
df	dataframe containing three columns; year, catch and unit of effort
res	option to show estimated data based on estimated surplus production input

References

Hilborn, Ray, and Carl J. Walters, eds. Quantitative fisheries stock assessment: choice, dynamics and uncertainty. Springer Science & Business Media, 1992.

Examples

Par.init(K = 1000, B0 = 1000, r = 0.2, q = 0.00025, df = df.goodcontrast)

habeebollah/montiR documentation built on Dec. 11, 2022, 7:55 p.m.