XBloop_rcpp

Xvec

nbObs

indicator for whether or not circular-circular regression model

circularAngleMean

indicator for whether or not circular-circular regression consensus model

consensus

rindex

cindex

nbStates

Loop for computation of design matrix (X) times the working scale parameters (B). Written in C++. Used in <code><a rd-options="" href="/link/w2n?package=momentuHMM&version=1.4.3" data-mini-rdoc="momentuHMM::w2n">w2n</a></code>.

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, multiple imputation for incorporating location measurement error and missing data, user-specified design matrices and constraints for covariate modelling of parameters, 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>.

Brett T McClintock

momentuHMM

Maximum Likelihood Analysis of Animal Movement Behavior Using
Multivariate Hidden Markov Models

XBloop_rcpp function

Loop for computation of design matrix (X) times the working scale parameters (B). Written in C++. Used in <code><a rd-options='' href='w2n'>w2n</a></code>.

XBloop_rcpp: Get XB

Description

Usage

Arguments

Value