Message-ID: <CA+Nm-7_He7Wc2ruHf9v9j5RX14-eiic2XpmQ0KJtXFm5pPB8=A@mail.gmail.com>
Date: 2018-08-24T13:20:23Z
From: Olatunji Johnson
Subject: 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
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