ZIprop: ZIprop: A package for Zero-Inflated Proportions data (ZIprop)
In ZIprop: Permutations Tests and Performance Indicator for Zero-Inflated Proportions Response
Description
We propose a by block-permutation-based methodology (i) to identify factors (discrete or continuous)
that are potentially significant, (ii) to define a performance indicator to quantify the percentage
of correlation explained by the significant factors subset for Zero-Inflated Proportions data (ZIprop).
References
Melina Ribaud, Edith Gabriel, Joseph Hughes, Samuel Soubeyrand.
Identifying potential significant factors impacting zero-inflated proportions data.
2020. hal-02936779
ZIprop documentation built on June 9, 2021, 5:09 p.m.
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Description
We propose a by block-permutation-based methodology (i) to identify factors (discrete or continuous) that are potentially significant, (ii) to define a performance indicator to quantify the percentage of correlation explained by the significant factors subset for Zero-Inflated Proportions data (ZIprop).
References
Melina Ribaud, Edith Gabriel, Joseph Hughes, Samuel Soubeyrand. Identifying potential significant factors impacting zero-inflated proportions data. 2020. hal-02936779
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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