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novelforestSG: Dataset from the Novel Forests of Singapore

The raw dataset and model used in Lai et al. (2021) Decoupled responses of native and exotic tree diversities to distance from old-growth forest and soil phosphorous in novel secondary forests. Applied Vegetation Science, 24, e12548.

Version:	2.1.0
Depends:	R (≥ 3.5.0)
Suggests:	brms (≥ 2.10.0), testthat
Published:	2024-01-15
DOI:	10.32614/CRAN.package.novelforestSG
Author:	Hao Ran Lai [aut, cre], Kwek Yan Chong [aut], Alex Thiam Koon Yee [aut], Germaine Su Yin Tan [ctb], Louise Neo [ctb], Carmen Yingxin Kee [ctb], Hugh Tiang Wah Tan [ths]
Maintainer:	Hao Ran Lai <hrlai.ecology at gmail.com>
BugReports:	https://github.com/hrlai/novelforestSG/issues
License:	CC BY 4.0
URL:	https://hrlai.github.io/novelforestSG/, https://github.com/hrlai/novelforestSG
NeedsCompilation:	no
Citation:	novelforestSG citation info
Materials:	README NEWS
CRAN checks:	novelforestSG results

Documentation:

Reference manual:

novelforestSG.pdf

Downloads:

Package source:	novelforestSG_2.1.0.tar.gz
Windows binaries:	r-devel: novelforestSG_2.1.0.zip, r-release: novelforestSG_2.1.0.zip, r-oldrel: novelforestSG_2.1.0.zip
macOS binaries:	r-release (arm64): novelforestSG_2.1.0.tgz, r-oldrel (arm64): novelforestSG_2.1.0.tgz, r-release (x86_64): novelforestSG_2.1.0.tgz, r-oldrel (x86_64): novelforestSG_2.1.0.tgz
Old sources:	novelforestSG archive

Linking:

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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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