predictTPM: Predict transition probabilities for new covariate values

In TheoMichelot/moveHMM: Animal Movement Modelling using Hidden Markov Models

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)

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.

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.

TheoMichelot/moveHMM documentation built on March 18, 2024, 2:38 a.m.