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Machine-learning Boosted Regression Tree software suite for species distribution modelling in R

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Hi, I have zero-inflated data which lead me to your package for BRT analysis. However, there is also spatial autocorrelation in my data. I currently use the `fold.vector` parameter in...

Agustín María De Wysiecki paper, see email, code already got: /home/simon/Dropbox/Galway/Analysis/R/Augustin Narrownose BRT tweaks/ ![image](https://user-images.githubusercontent.com/4599748/70936382-076a1f80-1ff7-11ea-956f-c06f569be15f.png)

gbm.auto allow entry for user preference elements, google, etc.

unrep exponential breaks for RSB legend: breaks = exp01seq gbm.auto L1847 linear01seq

https://zenodo.org/account/settings/github/

Maybe run this only for variable combinations with significant interactions to see if there's a shape?

Gbm.report function using markdown to create a word document with the full results section and model interpretation, data units n sources (get via gbm.call, have user fill em in, generate...

Now built. 1. Load samples & multiple grids files into environment 2. Set WD for grids1 e.g. autumn 3. Run BRT normally with samples & grids1 4. setWD for grids2...

Currently takes average min & average max & average average, I think, meaning 3 lines which are identical just with different Y values. Instead: plot all [10] lines overlapping, coloured...

individual line plots: add a horizontal line at 0 to visually split pos & neg absolute values of marginal effect? currently Y scale tied to values, which gives impression that...