tribble | R Documentation |
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)
ccflag |
Case-control flag : a vector of ones and zeroes. |
vars |
A matrix where |
alphas |
Initial value of the |
betas |
Initial value of the |
rho |
Initial value of the |
which |
Defines the mapping from sources to parameters. |
covars |
A matrix of covariates to be modelled as log-linear terms. The element
|
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 |
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 |
For further information see Diggle and Rowlingson (1993).
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
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