Maximum Likelihood Analysis of Animal Movement Behavior Using Multivariate Hidden Markov Models
AIC
Calculate Akaike information criterion model weights
Matrix of all probabilities
Check parameter length and order for a fitHMM
(or MIfitHMM
) model
Confidence intervals for working (i.e., beta) parameters
Convert standard direction angles (in radians relative to the x-axis) ...
Confidence intervals for the natural (i.e., real) parameters
Merge crwData or crwHierData object with additional data streams and/o...
Fit and predict tracks for using crawl
Constructor of crwData
objects
Constructor of crwHierData
objects
Constructor of crwHierSim
objects
Constructor of crwSim
objects
Bernoulli density function
Probability density function of the beta distribution (written in C++)
Categorical density function
Exponential density function
Gamma density function
Calculate distance between points y and z and turning angle between po...
Log-normal density function
logistic density function
C++ implementation of multivariate Normal probability density function...
negative binomial density function
Normal density function
Poisson density function
student t density function
Von Mises density function
Weibull density function
Wrapped Cauchy density function
Example dataset
Expand vector of free working parameters to vector of all working para...
Fit a multivariate HMM to the data
Convert hierarchical HMM structure to a conventional HMM
Get names of any covariates used in probability distribution parameter...
Get design matrix
Get starting values from momentuHMM, miHMM, or miSum object returned b...
Get starting values for new model from existing momentuHMM
or `momen...
Get starting values on working scale based on design matrix and other ...
Transition probability matrix
Constructor of HMMfits
objects
Is crwData
Is crwHierData
Is crwHierSim
Is crwSim
Is HMMfits
Is miHMM
Is miSum
Is momentuHierHMM
Is momentuHierHMMData
Is momentuHMM
Is momentuHMMData
Forward log-probabilities
Backward log-probabilities
Fit HMMs to multiple imputation data
Constructor of miHMM
objects
Calculate pooled parameter estimates and states across multiple imputa...
Constructor of miSum
objects
Mixture probabilities
Constructor of momentuHierHMM
objects
Constructor of momentuHierHMMData
objects
Constructor of momentuHMM
objects
Constructor of momentuHMMData
objects
Scaling function: natural to working parameters.
Negative log-likelihood function
Negative log-likelihood
Parameters definition
Plot crwData
Plot miHMM
Plot miSum
Plot momentuHMM
Plot momentuHMMData
or momentuHierHMMData
Plot pseudo-residuals
Plot observations on satellite image
Plot observations on raster image
Plot states
Plot stationary state probabilities
Preprocessing of the data streams and covariates
Print miHMM
Print miSum
Print momentuHMM
Pseudo-residuals
Random effects estimation
Set modelName
for a momentuHMM
, miHMM
, HMMfits
, or miSum
obj...
Set stateNames
for a momentuHMM
, miHMM
, HMMfits
, or miSum
ob...
Simulation tool
Observation error simulation tool
State probabilities
Stationary state probabilities
Summary momentuHMMData
Calculate proportion of time steps assigned to each state (i.e. activi...
Transition probability matrix
Turning angle
Viterbi algorithm
Scaling function: working to natural parameters
Get XB
Extended tools for analyzing telemetry data using generalized hidden Markov models. Features of momentuHMM (pronounced ``momentum'') include data pre-processing and visualization, fitting HMMs to location and auxiliary biotelemetry or environmental data, biased and correlated random walk movement models, hierarchical HMMs, multiple imputation for incorporating location measurement error and missing data, user-specified design matrices and constraints for covariate modelling of parameters, random effects, decoding of the state process, visualization of fitted models, model checking and selection, and simulation. See McClintock and Michelot (2018) <doi:10.1111/2041-210X.12995>.
Useful links