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eoR  

Data Management Package (Exposure and Occurrence Data in R)
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("eoR", "0.4.0")



Attach the package and use:
library("eoR")
Maintained by
Rainer Walke
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-10
Latest Update: 2019-11-10
Description:
This data management package provides some helper classes for publicly available data sources (HMD, DESTATIS) in Demography. Similar to ideas developed in the Bioconductor project we strive to encapsulate data in easy to use S4 objects. If original data is provided in a text file, the resulting S4 object contains all information from that text file. But the information is somehow structured (header, footer, etc). Further the classes provide methods to make a subset for selected calendar years or selected regions. The resulting subset objects still contain the original header and footer information.
How to cite:
Rainer Walke (2019). eoR: Data Management Package (Exposure and Occurrence Data in R). R package version 0.4.0, https://cran.r-project.org/web/packages/eoR. Accessed 05 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited eoR R package
View eoR citation profile
Other R packages that eoR depends, imports, suggests or enhances
Complete documentation for eoR
Functions, R codes and Examples using the eoR R package
Some associated functions: AllGenerics . EX1-class . LT1-class . RD1-class . RE1-class . 
Some associated R codes: AllGeneric.R . GENESISClasses.R . HMDClasses.R .  Full eoR package functions and examples
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