NEWS

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novelforestSG 2.2.0

• Corrected novelforest_data$plot to novelforest_data$plots
• Summarised canopy and litter to the means at plot-level and de-duplicated the rows
• novelforest_data$plots is now an sf object with each plot as a point geometry in WGS84 (EPSG:4326). The package now Depends on sf.
• Updated the help files

novelforestSG 2.1.0 (2024-01-15)

• Added data for Neo et al. (2017)
• Re-named the data objects and updated the help file
• Removed the backtransform() function since it is no longer useful for the new dataset

novelforestSG 2.0.0 (2022-10-03)

This major update releases more data, corrects errors in older data version, and is thus incompatible with v1.x.x.

Major change:

• Stem-level raw data (e.g., diameter) from the novel forest study is now available as novelforest_data, and replaces the older data which is summarised to the plot level. This will be part of our continual effort to make data open and results reproducible. Come back later for more staged releases!
• Removed an unused plot that was irrelevant to the original study design.

Minor change:

• As a result, backtransform() no longer depends on novelforest_data. Instead, download_model() needs to be run at least once to use backtransform().

novelforestSG 1.2.1 (2021-02-20)

• Removed unintentional attributes in the novelforest_data data.frame

novelforestSG 1.2.0 (2021-02-17)

• CRAN release on 18 Feb 2021
• CRAN revision: took large model object out and make it downloadable with the new download_model() function instead.

novelforestSG 1.1.1

• Checks and first submission to CRAN.

novelforestSG 1.1.0

• Add backtransform() function to backtransform the predictors in the dataset to their original scales.

novelforestSG 1.0.0

• Minor revision to release with accepted manuscript https://doi.org/10.1111/avsc.12548

novelforestSG 0.9.0

• Initial pre-release with the final draft of the manuscript (DOI pending).