postACF: Estimate the autocorrelation function before interpolating...

In lawlerem/markmodmover: Analyze animal movement data using the Markov-modulated movement model.

Description

Estimate the acf for step length after interpolating the data.

Usage

postACF(object, ...)

## S4 method for signature 'Data4M'
postACF(object, lag.max = 30)

Arguments

object	An object of or inheriting from class Data4M.
lag.max	The maximum lag to compute.

Value

An object of class acf, which is a list containing the following elements:

• lag: A vector containing the lags at which the acf is estimated.

• acf: An vector with the same length as 'lag' containing the estimated acf.

• type: Always set to "correlation".

• n.used A vector giving the sum of kernel values for each lag.

• series The name of the series 'object'.

• snames Always set to NULL.

lawlerem/markmodmover documentation built on Feb. 12, 2020, 8:30 p.m.