findStep: Compute diagnostic statistics for a grid of time steps and...

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

Description

Compute diagnostic statistics for a grid of time steps and group cutoffs.

Usage

findStep(object, ...)

## S4 method for signature 'Data4M'
findStep(object,
  step.grid = seq(summary(difftime(object))[[3]],
  summary(difftime(object))[[5]], length.out = 10), cutoff.grid = seq(1,
  2, length.out = 11), units = "hrs")

Arguments

object	An object of or inheriting from class Data4M.
step.grid	A numeric vector giving the values of Time.Step to consider.
cutoff.grid	A numeric vector giving the multiples of Time.Step to use as the Group.Cutoff (all entries should be between 1 and 2).

Value

A list giving the values of n_prop and n_adj, along with the values which maximize each statistic.

Examples

sealdata<- data4M(greyseal)
findStep(sealdata,cutoff.grid = seq(1,2,length.out = 5)

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