# EgoCor:
Simple Presentation of Estimated Exponential Semi-Variograms

## 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.

## Installation

You can install the development version of the EgoCor package from GitHub with:

```
# install.packages("devtools") # if not installed, yet
# remove.packages("EgoCor") # if an old version of the package is installed
devtools::install_github(repo = "julia-dyck/EgoCor", build_vignettes = TRUE)
library(EgoCor)
```

## Documentation

Take a look at the vignette “Introduction to EgoCor” with:

`browseVignettes("EgoCor")`