Man pages for moveHMM
Animal Movement Modelling using Hidden Markov Models
| 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 |
| elk_data | Elk data set from Morales et al. (2004, Ecology) |
| example | Example dataset |
| exGen | Example data simulation |
| fitHMM | Fit an HMM to the data |
| getPalette | Discrete colour palette for states |
| getPlotData | Data to produce plots of fitted model |
| haggis_data | Wild haggis data set from Michelot et al. (2016, Methods Eco... |
| 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 |
| plotSat | Plot observations on satellite image |
| plotStates | Plot states |
| plotStationary | Plot stationary state probabilities |
| predictStationary | Predict stationary state probabilities |
| predictTPM | Predict transition probabilities for new covariate values |
| prepData | Preprocessing of the tracking data |
| print.moveHMM | Print 'moveHMM' |
| pseudoRes | Pseudo-residuals |
| simData | Simulation tool |
| stateProbs | State probabilities |
| stationary | Stationary state probabilities |
| summary.moveData | Summary 'moveData' |
| trMatrix_rcpp | Transition probability matrix |
| turnAngle | Turning angle |
| viterbi | Viterbi algorithm |
| w2n | Scaling function: working to natural parameters |
