Type: Package Package: EgoCor Title: Simple Presentation of Estimated Exponential Semi-Variograms Version: 1.3.4 Authors@R: c( person("Julia", "Dyck", , "j.dyck@uni-bielefeld.de", role = c("aut", "cre")), person("Odile", "Sauzet", role = "aut"), person("Jan-Ole", "Koslik", role = "aut") ) Description: User friendly interface based on the R package 'gstat' to fit exponential parametric models to empirical semi-variograms in order to model the spatial correlation structure of health data. Geo-located health outcomes of survey participants may be used to model spatial effects on health in an ego-centred approach. The package contains a range of functions to help explore the spatial structure of the data as well as visualize the fit of exponential models for various metaparameter combinations with respect to the number of lag intervals and maximal distance. Furthermore, the outcome of interest can be adjusted for covariates by fitting a linear regression in a preliminary step before the semi-variogram fitting process. License: MIT + file LICENSE URL: https://github.com/julia-dyck/EgoCor BugReports: https://github.com/julia-dyck/EgoCor/issues Depends: R (>= 3.5.0) Imports: graphics, grDevices, gstat, Rdpack, shiny, sp, SpatialTools, stats, methods, utils Suggests: knitr, rmarkdown, lme4, testthat (>= 3.0.0) VignetteBuilder: knitr RdMacros: Rdpack Encoding: UTF-8 LazyData: true RoxygenNote: 7.3.2 Config/testthat/edition: 3 Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev make libuv1-dev libssl-dev libproj-dev libsqlite3-dev libudunits2-dev zlib1g-dev Repository: https://julia-dyck.r-universe.dev Date/Publication: 2025-11-19 08:59:01 UTC RemoteUrl: https://github.com/julia-dyck/egocor RemoteRef: HEAD RemoteSha: 67b3257978262695265eee5fb1772d02116c35c8 NeedsCompilation: no Packaged: 2026-06-17 09:02:13 UTC; root Author: Julia Dyck [aut, cre], Odile Sauzet [aut], Jan-Ole Koslik [aut] Maintainer: Julia Dyck