zeroCheck: Expected zeros from a Poisson model

Description Usage Arguments Examples

View source: R/zeroCheck.R

Description

Posterior predictive checks for zero-inflation (MCMCglmm course notes pg. 104). Runs simulation NITT times, using individual realizations from the model to simulate a poisson distribution. The number of zeros from each simulation are plotted along with the actual number of zeros from the dataset, in order to decide if the model requires a zero-inflation term ('zipoisson')

Usage

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zeroCheck(mod, dat)

Arguments

dat

Data frame used to fit mod1

mod1

MCMCglmm model

Examples

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load(data)
mod1<-MCMCglmm(Count~x,data=data,family='poisson')
zeroCheck(mod1,data)

samuelVJrobinson/MCMCglmmExtras documentation built on May 29, 2019, 1:04 p.m.