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# metacal 0.2.0 | ||
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## New features | ||
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### New estimation and calibration functions | ||
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`estimate_bias()` and `calibrate()` provide easy-to-use high-level interfaces to the original metacal bias-estimation and calibration method. | ||
Their use is illustrated in the new tutorial. | ||
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### New utility functions | ||
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* `pairwise_ratios()` allows computing ratios between pairs of taxa and/or samples. | ||
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* `perturb()` applies a compositional perturbation to all observations in an abundance matrix (or phyloseq object). | ||
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### Support for phyloseq objects | ||
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The new functions `estimate_bias()`, `perturb()`, `calibrate()`, and `pairwise_ratios()` all work with objects from the [phyloseq](https://joey711.github.io/phyloseq/) package as well as plain matrices. | ||
Phyloseq is now a required dependency, though may be made optional in the future. | ||
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### New tutorial | ||
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The [new tutorial](https://mikemc.github.io/metacal/articles/tutorial.html) demonstrates the new estimation and calibration functions on a new dataset from [Leopold and Busby (2020)](https://doi.org/10.1016/j.cub.2020.06.011). | ||
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## Minor fixes | ||
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* Fixed failure of `coocurrence_matrix()` when names were missing (#5). | ||
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# metacal 0.1.0 | ||
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Direct implementation of the methods described in [McLaren MR, Willis AD, Callahan BJ (2019)](https://elifesciences.org/articles/46923) and used for [the analysis of that paper](https://github.com/mikemc/mgs-bias-manuscript). |