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LudvigOlsen/cvms: cvms 2.0.0

Authors: Ludvig Renbo Olsen; Daniel; Indrajeet Patil; Elio Campitelli; Xavier Robin;

LudvigOlsen/cvms: cvms 2.0.0

Abstract

Breaking: Fixes bug in all functions that takes fold_cols. When passing non-sequential fold indices (or sequential but not starting at 1), or string fold IDs, these were not properly matched with the fold index when extracting training and testing data for a cross-validation iteration. Now checks current iteration index against the fold ID's level index instead of its raw value. Fold column factor levels are reset to avoid levels with no observations. NOTE: Users of groupdata2::fold should not be affected by this, unless you sampled the already folded data and ended up with non-sequential (i.e., not 1:num_folds) fold IDs. combine_predictors() now handles when max_effect_frequency is NULL. Removes deprecated arguments: link, models, model_verbose. These were deprecated in v/1.0.0. Improves code formatting for readability.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average