Description Usage Arguments Value Examples
Negative loglikelihood function
1 2 3 4 
wpar 
Vector of working parameters. 
nbStates 
Number of states of the HMM. 
bounds 
Matrix with 2 columns and as many rows as there are elements in 
parSize 
Vector of two values: number of parameters of the step length distribution, number of parameters of the turning angle distribution. 
data 
An object 
stepDist 
Name of the distribution of the step lengths (as a character string). Supported distributions are: gamma, weibull, lnorm, exp. Default: gamma. 
angleDist 
Name of the distribution of the turning angles (as a character string).
Supported distributions are: vm, wrpcauchy. Set to 
angleMean 
Vector of means of turning angles if not estimated (one for each state).
Default: 
zeroInflation 

stationary 

knownStates 
Vector of values of the state process which are known prior to fitting the model (if any). Default: NULL (states are not known). This should be a vector with length the number of rows of 'data'; each element should either be an integer (the value of the known states) or NA if the state is not known. 
The negative loglikelihood of the parameters given the data.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20  ## Not run:
# data is a moveData object (as returned by prepData), automatically loaded with the package
data < example$data
simPar < example$simPar
par0 < example$par0
estAngleMean < is.null(simPar$angleMean)
bounds < parDef(simPar$stepDist,simPar$angleDist,simPar$nbStates,
estAngleMean,simPar$zeroInflation)$bounds
parSize < parDef(simPar$stepDist,simPar$angleDist,simPar$nbStates,
estAngleMean,simPar$zeroInflation)$parSize
par < c(par0$stepPar0,par0$anglePar0)
wpar < n2w(par,bounds,par0$beta0,par0$delta0,simPar$nbStates,FALSE)
l < nLogLike(wpar=wpar,nbStates=simPar$nbStates,bounds=bounds,parSize=parSize,data=data,
stepDist=simPar$stepDist,angleDist=simPar$angleDist,angleMean=simPar$angleMean,
zeroInflation=simPar$zeroInflation)
## End(Not run)

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