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EgoCor  

Simple Presentation of Estimated Exponential Semi-Variograms
View on CRAN: Click here


Download and install EgoCor package within the R console
Install from CRAN:
install.packages("EgoCor")

Install from Github:
library("remotes")
install_github("cran/EgoCor")

Install by package version:
library("remotes")
install_version("EgoCor", "1.3.4")



Attach the package and use:
library("EgoCor")
Maintained by
Julia Dyck
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-03
Latest Update: 2025-05-19
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.
How to cite:
Julia Dyck (2022). EgoCor: Simple Presentation of Estimated Exponential Semi-Variograms. R package version 1.3.4, https://cran.r-project.org/web/packages/EgoCor. Accessed 15 Jul. 2026.
Previous versions and publish date:
0.1.0 (2022-03-03 10:10), 1.0.0 (2022-08-11 12:40), 1.1.0 (2023-08-08 15:50), 1.2.0 (2024-03-28 19:10), 1.3.0 (2025-01-21 00:10), 1.3.2 (2025-01-25 07:50), 1.3.3 (2025-05-19 15:50), (2026-07-09 08:03)
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Complete documentation for EgoCor
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