PrevMap - Geostatistical Modelling of Spatially Referenced Prevalence Data
Provides functions for both likelihood-based and Bayesian analysis of spatially referenced prevalence data. For a tutorial on the use of the R package, see Giorgi and Diggle (2017) <doi:10.18637/jss.v078.i08>.
Last updated 2 years ago
4.36 score 46 scripts 456 downloadsRiskMap - Geo-Statistical Modeling of Spatially Referenced Data
Provides functions for geo-statistical analysis of both continuous and count data using maximum likelihood methods. The models implemented in the package use stationary Gaussian processes with Matern correlation function to carry out spatial prediction in a geographical area of interest. The underpinning theory of the methods implemented in the package are found in Diggle and Giorgi (2019, ISBN: 978-1-138-06102-7).
Last updated 5 months ago
3.18 score 5 scripts 525 downloads