GCMMpdens: Predict activity probability density at a time point

In activityGCMM: Circular Mixed Effect Mixture Models of Animal Activity Patterns

Description

Calculates predicted activity probability density from GCMM model at a specific time point

Usage

GCMMpdens(model, timepoint, HDI = TRUE, sample = 1000, scale = "2pi")

Arguments

model	Object of class GCMM with output from GCMM function
timepoint	Time point for which to predict activity probability density
HDI	Logical argument for whether to calculate 95% HDI; default=TRUE
sample	Number of posterior samples from which to build HDI; default=1000
scale	Scale of the data, either "2pi" for 0,2pi or "pi" for -pi,pi; default="2pi"

Value

Returns numeric vector of estimated probability density if HDI=FALSE or posterior probability distribution if HDI=TRUE

activityGCMM documentation built on June 15, 2021, 1:06 a.m.