Package: EgoCor 1.2.0

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.

Authors:Julia Dyck [aut, cre], Odile Sauzet [aut], Jan-Ole Koslik [aut]

EgoCor_1.2.0.tar.gz
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EgoCor.pdf |EgoCor.html
EgoCor/json (API)

# Install 'EgoCor' in R:
install.packages('EgoCor', repos = c('https://julia-dyck.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/julia-dyck/egocor/issues

Datasets:
  • birth - Spatially correlated birthweight data with artificial coordinates

On CRAN:

4.00 score 2 stars 4 scripts 251 downloads 5 exports 61 dependencies

Last updated 8 months agofrom:01499765d2. Checks:ERROR: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesFAILNov 23 2024
R-4.5-winWARNINGNov 23 2024
R-4.5-linuxWARNINGNov 23 2024
R-4.4-winWARNINGNov 23 2024
R-4.4-macWARNINGNov 23 2024
R-4.3-winWARNINGNov 23 2024
R-4.3-macWARNINGNov 23 2024

Exports:coords.plotdistance.infopar.uncertaintyvario.modvario.reg.prep

Dependencies:abindbase64encbslibcachemclassclassIntclicodacommonmarkcrayonDBIdigeste1071fastmapFNNfontawesomeFormulafsgluegstathtmltoolshttpuvintervalsjquerylibjsonliteKernSmoothlaterlatticelifecyclemagicmagrittrMASSMatrixmemoisemimepromisesproxyR6rappdirsrbibutilsRcppRcppArmadilloRdpackrlangs2sasssfsftimeshinysourcetoolsspspacetimeSpatialToolsspBayesstarsunitswithrwkxtablextszoo