splancs: triblik – R documentation

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splancs

triblik

Log-likelihood for the Diggle-Rowlingson raised incidence model

Description

Calculates the log-likelihood for the Diggle-Rowlingson raised incidence model.

Usage

triblik(ccflag, vars=NULL, alphas=NULL, betas=NULL, rho, 
 which=1:length(alphas), covars=NULL, thetas=NULL)

Arguments

`ccflag`	Case-control flag : a vector of ones and zeroes.
`vars`	A matrix where `vars[i,j]` is the distance squared from point `i` to source `j`.
`alphas`	The `alpha` parameters.
`betas`	The `beta` parameters.
`rho`	The `rho` parameter.
`which`	Defines the mapping from sources to parameters.
`covars`	A matrix of covariates to be modelled as log-linear terms. The element `covars[i,j]` is the value of covariate `j` for case/control `i`.
`thetas`	The covariate parameters.

Value

The log-likelihood for the given parameters and the given distances and optional covariates is returned.

References

Rowlingson, B. and Diggle, P. 1993 Splancs: spatial point pattern analysis code in S-Plus. Computers and Geosciences, 19, 627-655; the original sources can be accessed at: https://www.maths.lancs.ac.uk/~rowlings/Splancs/. See also Bivand, R. and Gebhardt, A. 2000 Implementing functions for spatial statistical analysis using the R language. Journal of Geographical Systems, 2, 307-317.