CRAN/E | EgoCor

EgoCor

Simple Presentation of Estimated Exponential Semi-Variograms

Installation

About

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.

github.com/julia-dyck/EgoCor
Bug report File report

Key Metrics

Version 1.2.0
R ≥ 3.5.0
Published 2024-03-28 28 days ago
Needs compilation? no
License MIT
License File
CRAN checks EgoCor results

Downloads

Yesterday 17 +89%
Last 7 days 67 -23%
Last 30 days 389 +90%
Last 90 days 805 -11%
Last 365 days 3.135 +44%

Maintainer

Maintainer

Julia Dyck

j.dyck@uni-bielefeld.de

Authors

Julia Dyck

aut / cre

Odile Sauzet

aut

Jan-Ole Koslik

aut

Material

Reference manual
Package source

Vignettes

Introduction to EgoCor

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

EgoCor archive

Depends

R ≥ 3.5.0

Imports

graphics
grDevices
gstat
Rdpack
shiny
sp
SpatialTools
stats
methods
utils

Suggests

knitr
rmarkdown
lme4