SystemRequirements: By default, git2r uses a system installation of the
libgit2 headers and library. However, if a system installation
is not available, builds and uses a bundled version of the
libgit2 source. zlib headers and library. OpenSSL headers and
library (non-macOS). LibSSH2 (optional on non-Windows) to

Description: Interface to the libgit2 library, which is a pure C
implementation of the Git core methods. Provides access to Git
repositories to extract data and running some basic git commands.
SystemRequirements: zlib headers and library. While the package
provides git functionality without the need for dependencies,
it can make use of a few libraries to add to it: OpenSSL
(non-Windows) to talk over HTTPS and provide the SHA-1
functions. LibSSH2 to enable the SSH transport. iconv (OSX) to
handle the HFS+ path encoding peculiarities.
Collate: 'S4_classes.r' 'blame.r' 'blob.r' 'branch.r' 'checkout.r'
'commit.r' 'config.r' 'contributions.r' 'credential.r' 'diff.r'
'fetch.r' 'git2r.r' 'index.r' 'libgit2.r' 'merge.r' 'note.r'
'odb.r' 'pull.r' 'push.r' 'reference.r' 'reflog.r' 'remote.r'
'repository.r' 'reset.r' 'signature.r' 'stash.r' 'status.r'

Title: Store and Retrieve Data.frames in a Git Repository
"Thierry", "Onkelinx", role = c("aut", "cre"),
"Research Institute for Nature and Forest",
role = c("cph", "fnd"), email = "info@inbo.be"))
Description: Make versioning of data.frame easy and efficient using git repositories.
Imports: assertthat, git2r (>= 0.23.0), methods, yaml
Suggests: spelling, ggplot2, knitr, microbenchmark, rmarkdown, testthat
Packaged: 2019-06-15 09:44:56 UTC; thierry_onkelinx
Author: Thierry Onkelinx [aut, cre] (<https://orcid.org/0000-0001-8804-4216>),
Research Institute for Nature and Forest [cph, fnd]

'meta.R' 'prune.R' 'read_vc.R' 'recent_commit.R' 'reexport.R'

person(given = "Research Institute for Nature and Forest",
Description: The git2rdata package is an R package for writing and reading
dataframes as plain text files.  A metadata file stores important
information.  1) Storing metadata allows to maintain the classes of
variables.  By default, git2rdata optimizes the data for file storage.
The optimization is most effective on data containing factors.  The
optimization makes the data less human readable.  The user can turn
this off when they prefer a human readable format over smaller files.
Details on the implementation are available in vignette("plain_text",
package = "git2rdata").  2) Storing metadata also allows smaller row
based diffs between two consecutive commits.  This is a useful feature
when storing data as plain text files under version control.  Details
on this part of the implementation are available in
vignette("version_control", package = "git2rdata").  Although we
envisioned git2rdata with a git workflow in mind, you can use it in
combination with other version control systems like subversion or
mercurial.  3) git2rdata is a useful tool in a reproducible and
traceable workflow.  vignette("workflow", package = "git2rdata") gives
a toy example.  4) vignette("efficiency", package = "git2rdata")
provides some insight into the efficiency of file storage, git
repository size and speed for writing and reading.  Please cite using
Suggests: ggplot2, knitr, microbenchmark, rmarkdown, spelling, testthat