moveHMM (version 1.10)

predictTPM: Predict transition probabilities for new covariate values

Description

Predict transition probabilities for new covariate values

Usage

predictTPM(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 an array, where each layer is a transition probability matrix corresponding to a row of newData.

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.