Background As an alternative to using administrative areas for the evaluation of small-area health inequalities, Sauzet et al suggested to take an ego-centred approach and model the spatial correlation structure of health outcomes at individual level. Existing tools for the analysis of spatial data in \code{R} may appear too complex to non-specialists which may limit the use of the approach.
Result We present the R-package \code{EgoCor} which offers a user friendly interface displaying in one function a range of graphics and tables of parameters to facilitate the decision making about which exponential parameters fit either raw data or residuals best. This function is based on the functions of the \code{R} packages \code{geoR}. A further function providing the measure of uncertainty proposed by Dyck and Sauzet has been implemented in the package.
Conclusion With the R-package EgoCor modelling the spatial correlation structure of health outcome with a measure of uncertainly is made available to non specialists