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just partook in a workshop organised by the IBS and am pretty stoked on your package here. Wanting to run an example as simple as possible during the workshop, I opted for a model with only two environmental covariates to my binary outcome of species-presence/absence.
Unfortunately, that caused a few issues in particular with the variable.step function which seems to accommodate exclusively models with three or more covariates. I propose a check to be implemented in this function that alerts users to this fact.
Cheers,
Erik
The text was updated successfully, but these errors were encountered:
Great idea! I'll work on implementing that. I would definitely not suggest using a regression tree approach with only one or two variables so a warning message is a good thought
Hiya,
just partook in a workshop organised by the IBS and am pretty stoked on your package here. Wanting to run an example as simple as possible during the workshop, I opted for a model with only two environmental covariates to my binary outcome of species-presence/absence.
Unfortunately, that caused a few issues in particular with the variable.step function which seems to accommodate exclusively models with three or more covariates. I propose a check to be implemented in this function that alerts users to this fact.
Cheers,
Erik
The text was updated successfully, but these errors were encountered: