crwN2ll | R Documentation |
This function is designed for primary use within the crwMLE
model fitting function. But, it can be accessed for advanced R
and
crawl
users. Uses the state-space parameterization and Kalman filter
method presented in Johnson et al. (2008).
crwN2ll( theta, fixPar, y, noObs, delta, mov.mf, err.mfX, err.mfY, rho = NULL, activity = NULL, n.errX, n.errY, n.mov, driftMod, prior, need.hess, constr = list(lower = -Inf, upper = Inf) )
theta |
parameter values. |
fixPar |
values of parameters held fixed (contains |
y |
N by 2 matrix of coordinates with the longitude coordinate in the first column. |
noObs |
vector with 1 for unobserved locations, and 0 for observed locations. |
delta |
time difference to next location. |
mov.mf |
Movement covariate data. |
err.mfX |
longitude error covariate data. |
err.mfY |
latitude error covariate data. |
rho |
A vector of known correlation coefficients for the error model, typically used for modern ARGOS data. |
activity |
Stopping covariate (= 0 if animal is not moving). |
n.errX |
number or longitude error parameters. |
n.errY |
number of latitude error parameters. |
n.mov |
number or movement parameters. |
driftMod |
Logical. indicates whether a drift model is specified. |
prior |
Function of theta that returns the log-density of the prior |
need.hess |
Whether or not the Hessian will need to be calculated from this call |
constr |
Named list giving the parameter constraints |
This function calls compiled C++ code which can be viewed in the
src
directory of the crawl source package.
-2 * log-likelihood value for specified CTCRW model.
Devin S. Johnson
Johnson, D., J. London, M. -A. Lea, and J. Durban. 2008. Continuous-time model for animal telemetry data. Ecology 89:1208-1215.
crwMLE
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