fastshap (version 0.1.0). The usage of the
functions remains unchanged.detect_envi_change to use Shapley values
technique to analyze the potential impacts of changing environmental
variables in space.isotree_po to take presence-absence
dataset as well (as described in issue #7). To make this happen
smoothly, another function format_observation is created to
help the users to convert their data to fit into itsdm
workflow.print.VariableAnalysis mentioned
in issue #2: if any value is negative then it would fail.plot.ShapDependence when the number of records is larger
than 1000. In order to keep the overall trend, the sampling is
stratified by bins. So the points cloud can be clearer to
interpret..cont_boyce) in utils.R to reduce the pool of
dependencies.print.POEvaluation.inherits function to check “try-error” in dataset
functions.evaluate_po,
plot.POEvaluation, and print.POEvaluation
related to dependency ecospat 3.2.1. Because now function
ecospat.boyce supports Kendall method, itsdm
changed to use Kendall method to calculate CBI.isotree to use more flexible way for argument
passing of isolation.forest.sample_rate from isotree_po. Only use
sample_size for sub-sampling.This is the first release. It includes all planned features.