Package: fdq 0.12

Caíque de Oliveira de Souza

fdq: Forest Data Quality

Forest data quality is a package containing nine methods of analysis for forest databases, from databases containing inventory data and growth models, the focus of the analyzes is related to the quality of the data present in the database with a focus on consistency , punctuality and completeness of data.

Authors:Caíque de Oliveira de Souza [aut, cre], Clayton Vieira Fraga Filho [ctb, dtc], Gilson Fernandes da Silva [ctb, dtc], Miquéias Fernandes [ctb]

fdq_0.12.tar.gz
fdq_0.12.zip(r-4.7-any)fdq_0.12.zip(r-4.6-any)fdq_0.12.zip(r-4.5-any)
fdq_0.12.tgz(r-4.6-any)fdq_0.12.tgz(r-4.5-any)
fdq_0.12.tar.gz(r-4.7-any)fdq_0.12.tar.gz(r-4.6-any)
fdq_0.12.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
fdq/json (API)

# Install 'fdq' in R:
install.packages('fdq', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

On CRAN:

Conda:

archivedpackagesr-universe

1.70 score 5 stars 3 scripts 285 downloads 1 exports 47 dependencies

Last updated from:138b86639f (on package/fdq). Checks:7 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develNOTE185
source / vignettesOK263
linux-releaseNOTE140
macos-releaseNOTE114
macos-oldrelNOTE101
windows-develNOTE89
windows-releaseNOTE116
windows-oldrelNOTE103
wasm-releaseOK95

Exports:hello

Dependencies:bitbit64blobcachemchroncliclustercolorspacecpp11curldata.tableDBIdevEMFfarverfastmapFgmutilsggplot2gluegridExtragsubfngtableisobandjsonlitelabelinglifecyclemagrittrmemoisepkgconfigplyrpngprotoR6randomcoloRRColorBrewerRcpprlangRSQLiteRtsneS7scalessqldfstringistringrV8vctrsviridisLitewithr