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baizer: Useful Functions for Data Processing

In ancient Chinese mythology, Bai Ze is a divine creature that knows the needs of everything. 'baizer' provides data processing functions frequently used by the author. Hope this package also knows what you want!

Version: 0.8.0
Depends: R (≥ 3.5.0)
Imports: curl, diffobj, dplyr (≥ 1.1.0), grDevices, magrittr, methods, openxlsx, purrr, readr, readxl, rematch2, rlang (≥ 0.4.11), rmarkdown, seriation, stats, stringr, tibble (≥ 3.1), tidyr, utils, vctrs
Suggests: covr, roxygen2, testthat (≥ 3.0.0), withr
Published: 2023-10-19
DOI: 10.32614/CRAN.package.baizer
Author: William Song [aut, cre]
Maintainer: William Song <william_swl at 163.com>
BugReports: https://github.com/william-swl/baizer/issues
License: MIT + file LICENSE
URL: https://william-swl.github.io/baizer/, https://github.com/william-swl/baizer
NeedsCompilation: no
Materials: README NEWS
CRAN checks: baizer results

Documentation:

Reference manual: baizer.pdf

Downloads:

Package source: baizer_0.8.0.tar.gz
Windows binaries: r-devel: baizer_0.8.0.zip, r-release: baizer_0.8.0.zip, r-oldrel: baizer_0.8.0.zip
macOS binaries: r-release (arm64): baizer_0.8.0.tgz, r-oldrel (arm64): baizer_0.8.0.tgz, r-release (x86_64): baizer_0.8.0.tgz, r-oldrel (x86_64): baizer_0.8.0.tgz
Old sources: baizer archive

Reverse dependencies:

Reverse imports: plutor

Linking:

Please use the canonical form https://CRAN.R-project.org/package=baizer to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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