  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 the
individual level. Existing tools for the analysis of spatial data in R might
appear too complex to non-specialists which could limit the use of the
approach. We present the R package 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 best either raw data or residuals. This function is based on the functions
of the R package gstat. Moreover, we implemented a function providing the
measure of uncertainty proposed by Dyck and Sauzet. With the R package EgoCor
the modelling of spatial correlation structure of health outcomes or spatially
structured predictors of health with a measure of uncertainty is made available
to non-specialists.
