SDALGCP Package now on cran!

I am very pleased to announce that SDALGCP package is now on cran!

SDALGCP package provides a computationally efficient discrete approximation
to log-Gaussian Cox process model for spatially aggregated disease count
data. It uses Monte Carlo Maximum Likelihood for model parameter estimation
and delivers a spatial prediction of the relative risk both on a discrete
and continuous scale.

On cran: https://cran.r-project.org/web/packages/SDALGCP/index.html
On GitHub: https://github.com/olatunjijohnson/SDALGCP

The vignette to the package can be found here
https://cran.r-project.org/web/packages/SDALGCP/vignettes/SDALGCP-vignette.html

Any suggestions and comment are welcome.

Cheers
Olatunji Johnson
Lancaster Medical School