R: Log-likelihood for the Diggle-Rowlingson raised incidence...

triblik {splancs} | R Documentation

## 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.

### See Also

`tribble`, `dsquare`

[Package splancs version 2.01-43 Index]