dsdive.fwdsample.dive: Simulate dive trajectories across discrete depth bins

In jmhewitt/dsdive: Discrete Space Models for Dive Trajectories of Animals

Description

The method will simulate a complete dive from its beginning to end.

Usage

dsdive.fwdsample.dive(depth.bins, beta, lambda, t0, steps.max, T1, T2)

Arguments

depth.bins	n x 2 Matrix that defines the depth bins. The first column defines the depth at the center of each depth bin, and the second column defines the half-width of each bin.
beta	Directional preference model parameters. See dsdive.tx.params for more details.
lambda	Diving rate model parameters. See dsdive.tx.params for more details.
t0	Initial time for the dive
steps.max	maximum number of transitions to sample before stopping, regardless of whether dive has finished.
T1	stage 1 duration
T2	stage 2 duration

Value

A dsdive object, which is a list with the following vectors:

depths

Record of which depth bin indices the trajectory visited

durations

Record of amount of time spent in each depth bin

times

The time at which each depth bin was entered

stages

The stage at which each depth bin was entered

Examples

data('dive.sim')
attach(dive.sim)
attach(dive.sim$params)

# simulate dive
x = dsdive.fwdsample.dive(depth.bins = depth.bins, beta = beta, 
                          lambda = lambda, t0 = 0, steps.max = 1e3, 
                          T1 = 15*60, T2 = 12*60)

pl = plot(x = x, depth.bins = depth.bins)

detach(dive.sim$params)
detach(dive.sim)

jmhewitt/dsdive documentation built on May 29, 2020, 5:18 p.m.