qqmath-methods: Normal Q-Q Plot of surveys' indices

In flr/bbm: FLR Implementation of a Two-Stage Stock Assessment Model

Normal Q-Q Plot of surveys' indices

Description

Method to produce qqplots of Pearson residuals against theoretical distribution of surveys' indices.

Usage

## S4 method for signature 'bbmFitresiduals,missing'
qqmath(x, data = missing, ...)

Arguments

x	An bbmFitresiduals object with the Pearson residuals.
data	Ignored.
...	Additional argument list that might never be used.

Value

A qqplot with stardardized log residuals against a theoretical distribution.

Examples

# Load data
data(ane)

# Run the assessment
obj <- bbm( catch.ane, indicesB=indicesB.ane, indicesP=indicesP.ane, control=control.ane, inits=inits.ane)

# Residuals
res <- residuals(obj)
qqmath(res)

flr/bbm documentation built on Sept. 6, 2022, 8:56 p.m.