fit: Fit a 4M model

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

Description

Fit a 4M model

Usage

## S4 method for signature 'Data4M,SetModel4M'
fit(object, model, max.tries = 10,
  DLL = "markmodmover", stationary.tolerance = 4, ...)

## S4 method for signature 'Data4M,missing'
fit(object, max.tries = 10,
  DLL = "markmodmover", stationary.tolerance = 4, ...)

Arguments

object	An object of class Data4M.
model	An object of class SetModel4M.
max.tries	How many times shoud the fitting process be tried before stopping? Defaults to 10.
DLL	Which DLL should be loaded? Should only be changed if the user modifies the C++ TMB template.
stationary.tolerance	Number of decimal places that any entry of the stationary distribution is allowed to be zero without restarting the fitting procedure.
...	Optional way to define a model without first creating an object. Also used to pass arguments to internal functions.

Value

Returns an object of class Model4M containing estimated model parameters, residuals, and Viterbi-decoded state estimates.

Examples

sealData<- data4M(greyseal)
sealData<- interpolate(sealData,Time.Step = 1)
seal4M2<- fit(sealData)
seal4M3<- fit(sealData,N.States = 3)

HMM3<- setModel4M(Use.HMM = T,N.States = 3)
sealHMM3<- fit(sealData,HMM3)

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