moveHMM (version 1.10)

predictStationary: Predict stationary state probabilities

Description

Predict stationary state probabilities

Usage

predictStationary(
  m,
  newData,
  beta = m$mle$beta,
  returnCI = FALSE,
  alpha = 0.95
)

Value

List with elements 'mle', 'lci', and 'uci' (the last two only if returnCI = TRUE). Each element is a matrix of stationary state probabilities with one row for each row of newData and one column for each state.

Arguments

m

Fitted moveHMM object, as returned by fitHMM

newData

Data frame with columns for the covariates

beta

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

returnCI

Logical indicating whether confidence intervals should be returned. Default: FALSE.

alpha

Confidence level if returnCI = TRUE. Default: 0.95, i.e., 95% confidence intervals.