EgoCor: Simple Presentation of Estimated Exponential Semi-Variograms
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.
| Version: |
1.3.3 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
graphics, grDevices, gstat, Rdpack, shiny, sp, SpatialTools, stats, methods, utils |
| Suggests: |
knitr, rmarkdown, lme4, testthat (≥ 3.0.0) |
| Published: |
2025-05-19 |
| DOI: |
10.32614/CRAN.package.EgoCor |
| Author: |
Julia Dyck [aut, cre],
Odile Sauzet [aut],
Jan-Ole Koslik [aut] |
| Maintainer: |
Julia Dyck <j.dyck at uni-bielefeld.de> |
| BugReports: |
https://github.com/julia-dyck/EgoCor/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/julia-dyck/EgoCor |
| NeedsCompilation: |
no |
| CRAN checks: |
EgoCor results |
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