metadata

<p>Mock communities and calibration samples created for measuring and validating model
of PCR bias. This data has been preprocessed as in the original manuscript.</p>

Provides methods for fitting and inspection of Bayesian Multinomial Logistic Normal Models using MAP estimation and Laplace Approximation as developed in Silverman et. Al. (2022) <https://www.jmlr.org/papers/v23/19-882.html>. Key functionality is implemented in C++ for scalability. 'fido' replaces the previous package 'stray'.

Justin Silverman

fido

Bayesian Multinomial Logistic Normal Regression

Kim Roche

Michelle Nixon

metadata function

<p>a data.frame metadata associated with the counts matrix `Y`</p>

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metadata: Data from Silverman et al. (2019) bioRxiv

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