Obtaining UD estimate of an animal using Langevin movement model

Obtaining UD estimate of an animal using Langevin movement model

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.