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rang  

Reconstructing Reproducible R Computational Environments
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rang", "0.3.0")



Attach the package and use:
library("rang")
Maintained by
Chung-hong Chan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-02-16
Latest Update: 2023-10-08
Description:
Resolve the dependency graph of R packages at a specific time point based on the information from various 'R-hub' web services . The dependency graph can then be used to reconstruct the R computational environment with 'Rocker' .
How to cite:
Chung-hong Chan (2023). rang: Reconstructing Reproducible R Computational Environments. R package version 0.3.0, https://cran.r-project.org/web/packages/rang. Accessed 21 Dec. 2024.
Previous versions and publish date:
0.1.0 (2023-02-16 16:30), 0.2.0 (2023-03-09 17:30), 0.2.1 (2023-08-09 12:40)
Other packages that cited rang R package
View rang citation profile
Other R packages that rang depends, imports, suggests or enhances
Complete documentation for rang
Functions, R codes and Examples using the rang R package
Some associated functions: apptainerize . as_pkgrefs . convert_edgelist . create_turing . dockerize . export_rang . export_renv . generate_installation_order . query_sysreqs . recipes . resolve . use_rang . 
Some associated R codes: apptainer.R . as_pkgrefs.R . cache.R . dockerfile.R . edgelist.R . installation.R . memo_misc.R . pkgref.R . resolve.R . sysreqs.R . use_rang.R .  Full rang package functions and examples
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