tribble: Diggle-Rowlingson Raised Incidence Model

In splancs: Spatial and Space-Time Point Pattern Analysis

Diggle-Rowlingson Raised Incidence Model

Description

Fits the Diggle-Rowlingson Raised Incidence Model.

Usage

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)

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	Initial value of the alpha parameters.
betas	Initial value of the beta parameters.
rho	Initial value of 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	Initial values of covariate parameters.
steps	Step sizes for the Nelder-Mead simplex algorithm.
reqmin	Tolerance for simplex algorithm
icount	Iteration count for simplex algorithm
hessian	by default NULL, any other value causes hessian to be computed and returned

Value

The return value is a list with many components, and class ribfit.

alphas	A vector of the alpha parameters at the maximum
betas	A vector of the beta values at the maximum
rho	The value of rho at the maximum
logl	The maximised log-likelihood
null.logl	The null log-likelihood
call	The function call to tribble

For further information see Diggle and Rowlingson (1993).

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

triblik, dsquare

splancs documentation built on May 29, 2024, 6:22 a.m.