Description Usage Arguments Value
Computation of the negative loglikelihood (forward algorithm  written in C++)
1 2  nLogLike_rcpp(nbStates, beta, covs, data, stepDist, angleDist, stepPar,
anglePar, delta, aInd, zeroInflation, stationary, knownStates)

nbStates 
Number of states 
beta 
Matrix of regression coefficients for the transition probabilities 
covs 
Covariates 
data 
A 
stepDist 
The name of the step length distribution 
angleDist 
The name of the turning angle distribution 
stepPar 
Statedependent parameters of the step length distribution 
anglePar 
Statedependent parameters of the turning angle distribution 
delta 
Stationary distribution 
aInd 
Vector of indices of the rows at which the data switches to another animal 
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. 
Negative loglikelihood
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