langevinUD: Obtaining UD estimate of an animal using Langevin movement...

In papayoun/Rhabit: Estimation of animal habitat selection using the Langevin movement model

Obtaining UD estimate of an animal using Langevin movement model

Description

Obtaining UD estimate of an animal using Langevin movement model

Usage

langevinUD(
  locs,
  times,
  ID = NULL,
  grad_list,
  with_speed = TRUE,
  alpha = 0.95,
  leverage = FALSE
)

Arguments

locs	Matrix of locations having size, say, n
times	Vector of observation times, must be of length n
ID	Vector of track identifiers, must be of length n
grad_list	list of gradients of covariates, evaluated at the locations of the observations, must be 3d array of dim(n, 2, J) where J is the amount of covariates
with_speed	Logical. If TRUE, the speed parameter is estimated Other wise it is set to one
alpha	Confidence level (default: 0.95, i.e. 95% confidence intervals)
leverage	Logical. If TRUE, the standardized residuals and the leverage are returned. Default: FALSE. Might not work when there are many observations, because it creates an n times n matrix.

Value

A list of: est, the vector of estimates, and var, the covariance matrix of the estimates.

papayoun/Rhabit documentation built on July 19, 2023, 8:04 p.m.