SpatioTemporal (version 0.9.2)

loglike.dim: Dimensions of the Model Data Structure

Description

Function that computes the dimension of several objects in the mesa.data.model data structure.

Usage

loglike.dim(mesa.data.model)

Arguments

mesa.data.model

Data structure holding observations, and information regarding which geographic and spatio-temporal covariates to use when fitting the model. See create.data.model and

Value

• Returns a list with the following components:
• T
  Number of distinct time points in the data
• m
  Number of temporal basis functions including the intercept.
• n
  Number of distinct locations in the data
• p
  A vector with m elements, containg the number of geographic covariates (LUR:s) for each of the temporal basis functions.
• L
  Number of spatio-temporal covariates
• nparam
  Total number of parameters, including covariance and regression parameters, (L+sum(p)+2*m+3)
• nparam.cov
  Number of covariance parameters (2*m+3)

encoding

latin1

See Also

See mesa.data.model for details on the data structure. Used internally by several functions in the package. For further log-likelihood computations see loglike, loglike.grad, and loglike.var.names.

Examples

##load the data
data(mesa.data.model)

##compute dimensions for the data structure
loglike.dim(mesa.data.model)