https://olatunjijohnson.r-universe.devRecent package updates in olatunjijohnsonR-universehttps://github.com/olatunjijohnson.pnghttps://olatunjijohnson.r-universe.devThu, 02 Jul 2026 20:45:05 GMTolatunjijohnson21111@gmail.com (Olatunji Johnson)Fits a spatially discrete approximation to a log-Gaussian Cox process model for spatially aggregated disease count data, estimated by Monte Carlo Maximum Likelihood as in Christensen (2004) <doi:10.1198/106186004X2525> and Johnson, Diggle and Giorgi (2019) <doi:10.1002/sim.8339>. Performance-critical steps (aggregated correlation assembly, Metropolis-adjusted Langevin algorithm (MALA) sampling, the Monte Carlo likelihood, and the Kronecker-structured space-time likelihood) are implemented in C++ via 'RcppArmadillo'. Provides a one-line, 'glm'-like interface and statistical extensions including a nugget term, general 'Matern' smoothness, raster and misaligned covariates, restricted spatial regression, importance-sampling diagnostics and re-anchored Monte Carlo maximum likelihood (MCML).https://github.com/r-universe/olatunjijohnson/actions/runs/28646347079Thu, 02 Jul 2026 20:45:05 GMTSDALGCP20.1.1successhttps://olatunjijohnson.r-universe.devhttps://github.com/olatunjijohnson/sdalgcp2SDALGCP2-intro.RmdSDALGCP2-intro.htmlSpatial disease mapping with SDALGCP2 2026-06-16 10:44:592026-06-26 16:36:45raster-covariates.Rmdraster-covariates.htmlSpatially continuous (raster) predictors 2026-06-16 20:17:132026-06-26 16:36:45spatio-temporal.Rmdspatio-temporal.htmlSpatio-temporal disease mapping 2026-06-16 20:17:132026-06-26 16:36:45scale-grid-vs-continuous.Rmdscale-grid-vs-continuous.htmlEstimating the spatial scale: grid vs continuous 2026-06-16 20:17:132026-06-26 16:36:45spatial-confounding.Rmdspatial-confounding.htmlSpatial confounding and restricted spatial regression 2026-06-16 21:18:402026-06-26 16:36:45misaligned-covariates.Rmdmisaligned-covariates.htmlCovariates measured on a different support 2026-06-16 21:18:402026-06-26 16:36:45