HMMprobs: State-dependent distributions for multistate local Gibbs

In TheoMichelot/localGibbs: Local Gibbs Movement Model

State-dependent distributions for multistate local Gibbs

Description

State-dependent distributions for multistate local Gibbs

Usage

HMMprobs(xy, r = NULL, sigma = NULL, beta, gridc, gridz, cov, lim, res,
  norm = FALSE)

Arguments

xy	Matrix of observed locations
r	Vector of availability radii (one for each state – if norm=FALSE)
sigma	Vector of standard deviations (one for each state – if norm=TRUE)
beta	Vector of habitat selection parameters
gridc	Monte Carlo sample of intermediate centres c
gridz	Monte Carlo sample of endpoints z
cov	Array of covariates (one layer for each covariate)
lim	Limits of the covariate rasters
res	Resolution of the covariate rasters
norm	Logical. If TRUE, uses normal densities

Value

Matrix with one row for each observed step, and one column for each state.

TheoMichelot/localGibbs documentation built on March 24, 2022, 5:56 a.m.