change.poisson: Changepoint Model with Poisson Distribution

In hollicam/DiscreteChoiceModels: Various models for marketing and social research

Description

The changepoint model is used to test if there is a significant change in distribution of a variable (assumed to have Poisson distribution), over the course of some threshold, typically time or sequential order.

Usage

change.poisson(v, pre = NA)

Arguments

v	Vector that contains response variable of interest.
pre	Numerical value that represents preselected changepoint for any model, should the user wish to test a specific point in data, NA by default.

Value

List of the following:

• Table containing location(s) of changepoint(s) – either preselected or determined rigorously – ranked by significance and associated significance value(s)

• Numerical value representing the MBIC threshold by which to base significance of a changepoint, i.e. penalty values LARGER than MBIC threshold indicate significance.

Examples

#Examples you wish to use, in demonstration of function
a = rpois(200,1)
b = rpois(200,2)
c = rpois(200,3)
v = c(a,b,c)

change.poisson(v)
change.poisson(v, pre=400)

hollicam/DiscreteChoiceModels documentation built on May 3, 2019, 8:59 p.m.