Fits the Diggle-Rowlingson Raised Incidence Model.
tribble(ccflag, vars=NULL, alphas=NULL, betas=NULL, rho,
which=1:length(alphas), covars=NULL, thetas=NULL,
steps=NULL, reqmin=0.001, icount=50, hessian=NULL)The return value is a list with many components, and class ribfit.
A vector of the alpha parameters at the maximum
A vector of the beta values at the maximum
The value of rho at the maximum
The maximised log-likelihood
The null log-likelihood
The function call to tribble
For further information see Diggle and Rowlingson (1993).
Case-control flag : a vector of ones and zeroes.
A matrix where vars[i,j] is the distance squared from point i
to source j.
Initial value of the alpha parameters.
Initial value of the beta parameters.
Initial value of the rho parameter.
Defines the mapping from sources to parameters.
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.
Initial values of covariate parameters.
Step sizes for the Nelder-Mead simplex algorithm.
Tolerance for simplex algorithm
Iteration count for simplex algorithm
by default NULL, any other value causes hessian to be computed and returned
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.
triblik, dsquare