ZI.Index.Boot: Zero-Inflated Model Bootstrap Function

View source: R/boot_functions.R

ZI.Index.BootR Documentation

Zero-Inflated Model Bootstrap Function

Description

ZI.Index.Boot calculates a raw, a normalized, a centered, and a scaled relative abundance index for each bootstrap iteration

Usage

ZI.Index.Boot(data, i, bestmod, dist = "negbin", link = "logit", grid)

Arguments

data

see boot

i

see boot for stype

bestmod

character vector representing saved object representing the best (i.e., final) model

dist

character vector used to specify the distribution to use in the zeroinfl function being implemented

link

character vector used to specify the link to use in the zeroinfl function being implemented

grid

prediction data frame for which you will get your predicted response variable at. Generally will be created via a call to Index.Grid

Value

numeric vector with four points:

Points
Group
Factor
Value

See Also

boot

Other Index Bootstrap Functions: Boot.Diag(), Stat.Calc()


ballengerj/FishyR documentation built on June 17, 2022, 10:33 p.m.