Animal Movement Modelling using Hidden Markov Models


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Documentation for package ‘moveHMM’ version 1.1

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AIC.moveHMM AIC
allProbs Matrix of all probabilities
angleCI Confidence intervals for angle parameters
CI Confidence intervals
dexp_rcpp Exponential density function
dgamma_rcpp Gamma density function
dlnorm_rcpp Log-normal density function
dvm_rcpp Von Mises density function
dweibull_rcpp Weibull density function
dwrpcauchy_rcpp Wrapped Cauchy density function
example Example dataset
exGen Example data simulation
fitHMM Fit an HMM to the data
is.moveData Is moveData
is.moveHMM Is moveHMM
logAlpha Forward log-probabilities
logBeta Backward log-probabilities
moveData Constructor of 'moveData' objects
moveHMM Constructor of 'moveHMM' objects
n2w Scaling function: natural to working parameters.
nLogLike Negative log-likelihood function
nLogLike_rcpp Negative log-likelihood
parDef Parameters definition
plot.moveData Plot 'moveData'
plot.moveHMM Plot 'moveHMM'
plotPR Plot pseudo-residuals
plotStates Plot states
prepData Preprocessing of the tracking data
print.moveHMM Print 'moveHMM'
pseudoRes Pseudo-residuals
simData Simulation tool
stateProbs State probabilities
summary.moveData Summary 'moveData'
trMatrix_rcpp Transition probability matrix
turnAngle Turning angle
viterbi Viterbi algorithm
w2n Scaling function: working to natural parameters