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fdq

Forest Data Quality

v0.12 · Jan 27, 2021 · GPL-3

Description

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.

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CRAN Check Status

2 NOTE
11 OK
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang NOTE
r-devel-linux-x86_64-fedora-gcc NOTE
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK
Check details (2 non-OK)
NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespaces in Imports field not imported from:
  ‘data.table’ ‘ggplot2’ ‘randomcoloR’ ‘sqldf’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespaces in Imports field not imported from:
  ‘data.table’ ‘ggplot2’ ‘randomcoloR’ ‘sqldf’
  All declared Imports should be used.

Check History

NOTE 9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespaces in Imports field not imported from:
  ‘data.table’ ‘ggplot2’ ‘randomcoloR’ ‘sqldf’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespaces in Imports field not imported from:
  ‘data.table’ ‘ggplot2’ ‘randomcoloR’ ‘sqldf’
  All declared Imports should be used.
NOTE r-oldrel-macos-arm64

LazyData

'LazyData' is specified without a 'data' directory
NOTE r-oldrel-macos-x86_64

LazyData

'LazyData' is specified without a 'data' directory
NOTE r-oldrel-windows-x86_64

LazyData

'LazyData' is specified without a 'data' directory

Dependency Network

Dependencies Reverse dependencies Fgmutils data.table sqldf randomcoloR ggplot2 fdq

Version History

5 tracked
new 0.12 Mar 10, 2026
updated 0.12 ← 0.11 diff Jan 27, 2021
updated 0.11 ← 0.2 diff Nov 18, 2018
updated 0.2 ← 0.1 diff Dec 10, 2016
new 0.1 Nov 11, 2016