moveHMM (version 1.9)

stationary: Stationary state probabilities

Description

Calculates the stationary probabilities of each state, for given covariate values.

Usage

stationary(m, covs, beta = m$mle$beta)

Value

Matrix of stationary state probabilities. Each row corresponds to a row of covs, and each column corresponds to a state.

Arguments

m

Fitted model (as output by fitHMM).

covs

Either a data frame or a design matrix of covariates.

beta

Optional matrix of regression coefficients for the transition probability model. By default, uses estimates in m.

Examples

# m is a moveHMM object (as returned by fitHMM), automatically loaded with the package
m <- example$m

# data frame of covariates
stationary(m, covs = data.frame(cov1 = 0, cov2 = 0))

# design matrix (each column corresponds to row of m$mle$beta)
stationary(m, covs = matrix(c(1,0,cos(0)),1,3))