ssn_params {SSN2} | R Documentation |
Create covariance parameter objects.
Description
Create a covariance parameter object for us with other functions.
See spmodel::randcov_params()
for documentation regarding
random effect covariance parameter objects.
Usage
tailup_params(tailup_type, de, range)
taildown_params(taildown_type, de, range)
euclid_params(euclid_type, de, range, rotate, scale)
nugget_params(nugget_type, nugget)
Arguments
tailup_type |
The tailup covariance function type. Available options
include |
de |
The spatially dependent (correlated) random error variance. Commonly referred to as a partial sill. |
range |
The correlation parameter. |
taildown_type |
The taildown covariance function type. Available options
include |
euclid_type |
The euclidean covariance function type. Available options
include |
rotate |
Anisotropy rotation parameter (from 0 to |
scale |
Anisotropy scale parameter (from 0 to 1) for the euclidean portion of the covariance. A value of 1 (the default) implies no scaling. |
nugget_type |
The nugget covariance function type. Available options
include |
nugget |
The spatially independent (not correlated) random error variance. Commonly referred to as a nugget. |
Value
A parameter object with class that matches the relevant type
argument.
References
Peterson, E.E. and Ver Hoef, J.M. (2010) A mixed-model moving-average approach to geostatistical modeling in stream networks. Ecology 91(3), 644–651.
Ver Hoef, J.M. and Peterson, E.E. (2010) A moving average approach for spatial statistical models of stream networks (with discussion). Journal of the American Statistical Association 105, 6–18. DOI: 10.1198/jasa.2009.ap08248. Rejoinder pgs. 22–24.
Examples
tailup_params("exponential", de = 1, range = 20)
taildown_params("exponential", de = 1, range = 20)
euclid_params("exponential", de = 1, range = 20, rotate = 0, scale = 1)
nugget_params("nugget", nugget = 1)