overdispersion: Estimating overdispersion

In Faskally/ef: Modelling Framework for the Estimation of Salmonid Abundance

Estimating overdispersion

Description

Complete function for returning overdispersion estimates

Usage

overdispersion(
  data,
  visitID = "visitID",
  count = "count",
  pass = "pass",
  sampleID = "sampleID",
  largemodel,
  control = "control"
)

Arguments

data	dataframe containing EF data
visitID	a number identifying each unique site visit
count	the number of fish caught for a particular combination of site visit, species, lifestage and pass (defaults to "count")
pass	EF pass number e.g. 1,2,3,4 (defaults to "pass")
sampleID	sample ID i.e. unique combinations of site visit, species & lifestage
largemodel	a large model that captures most of the systematic variation in the data - this is specified before running the overdispersion function
control	passes control information to optimiser

Value

a data.frame summarising overdispersion

Note

ensure column names in function call are in inverted commas

Faskally/ef documentation built on Oct. 12, 2023, 11:06 p.m.