surrogateCrawlModel | R Documentation |
Generate Transition and Covariance Matrices for a simple Crawl Model
surrogateCrawlModel(fit, dt)
fit |
a fitted crawl object |
dt |
the fixed time increment |
Generates the transition and covariance matrices of the state
space model for time increment dt
, corresponding to a
fitted crawl model with no drift and no covariates.
Currently no polar adjustment is made.
The matrices are generated assuming the state variables are stored
as a vector in the order longitude mu and nu then latitude mu and
nu. The parametrization is defined as in the crawl source not the
paper, which differs by a factor of \beta^{2}
in the
definition of \sigma^{2}
.
A list containing
A |
the transition matrix |
Q |
the covariance matrix |
dt |
the time increment |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.