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archivist  

Tools for Storing, Restoring and Searching for R Objects
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("archivist", "2.3.6")



Attach the package and use:
library("archivist")
Maintained by
Przemyslaw Biecek
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-08-30
Latest Update: 2021-05-20
Description:
Data exploration and modelling is a process in which a lot of data artifacts are produced. Artifacts like: subsets, data aggregates, plots, statistical models, different versions of data sets and different versions of results. The more projects we work with the more artifacts are produced and the harder it is to manage these artifacts. Archivist helps to store and manage artifacts created in R. Archivist allows you to store selected artifacts as a binary files together with their metadata and relations. Archivist allows to share artifacts with others, either through shared folder or github. Archivist allows to look for already created artifacts by using it's class, name, date of the creation or other properties. Makes it easy to restore such artifacts. Archivist allows to check if new artifact is the exact copy that was produced some time ago. That might be useful either for testing or caching.
How to cite:
Przemyslaw Biecek (2014). archivist: Tools for Storing, Restoring and Searching for R Objects. R package version 2.3.6, https://cran.r-project.org/web/packages/archivist
Previous versions and publish date:
1.0 (2014-08-30 23:00), 1.1 (2014-09-21 07:43), 1.2 (2014-11-29 16:17), 1.3 (2015-03-02 00:17), 1.5 (2015-07-01 05:58), 1.6 (2015-08-15 23:09), 1.7 (2015-09-25 17:03), 1.8 (2015-11-27 12:07), 2.0.1 (2016-02-21 16:50), 2.0.2 (2016-03-05 00:12), 2.0.3 (2016-03-08 00:16), 2.0.4 (2016-05-13 00:47), 2.0 (2016-02-13 01:11), 2.1.1 (2016-11-18 22:24), 2.1.2 (2016-12-31 18:45), 2.1 (2016-07-27 23:50), 2.2 (2017-11-26 00:43), 2.3.1 (2018-04-24 12:41), 2.3.2 (2019-01-02 12:30), 2.3.4 (2019-08-31 12:50), 2.3.5 (2021-02-06 06:50), 2.3 (2018-02-19 20:39)
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