dafishr: Download, Wrangle, and Analyse Vessel Monitoring System Data

Allows to download, clean and analyse raw Vessel Monitoring System, VMS, data from Mexican government. You can use the vms_download() function to download raw data, or you can use the sample_dataset provided within the package. You can follow the tutorial in the vignette available at <https://cbmc-gcmp.github.io/dafishr/index.html>.

Version:	1.0.1
Depends:	R (≥ 3.5.0)
Imports:	dplyr, fst, ggplot2, lubridate, magrittr, mixtools, readr, readxl, rlang, sf, stringr, tibble, tidyr, tidyselect, utils, vroom
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2024-07-22
DOI:	10.32614/CRAN.package.dafishr
Author:	Fabio Favoretto [aut, cre], Eduardo Leon Solorzano [ctb]
Maintainer:	Fabio Favoretto <fabio at gocmarineprogram.org>
BugReports:	https://github.com/CBMC-GCMP/dafishr/issues/
License:	MIT + file LICENSE
URL:	https://github.com/CBMC-GCMP/dafishr, https://cbmc-gcmp.github.io/dafishr/
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	dafishr results

Documentation:

Reference manual:	dafishr.pdf
Vignettes:	Where to start

Downloads:

Package source:	dafishr_1.0.1.tar.gz
Windows binaries:	r-devel: dafishr_1.0.1.zip, r-release: dafishr_1.0.1.zip, r-oldrel: dafishr_1.0.1.zip
macOS binaries:	r-release (arm64): dafishr_1.0.1.tgz, r-oldrel (arm64): dafishr_1.0.1.tgz, r-release (x86_64): dafishr_1.0.1.tgz, r-oldrel (x86_64): dafishr_1.0.1.tgz
Old sources:	dafishr archive

Linking:

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