lr2glm: Build a Generalized Linear Model from CLR Data
In propr: Calculating Proportionality Between Vectors of Compositional Data

This function builds a generalized linear model from log-ratio transformed data.

1	lr2glm(lr, model.matrix, ...)

`lr`	A data.frame. A log-ratio transformed counts matrix.
`model.matrix`	A `model.matrix`.
`...`	Arguments passed to `glm`.

Returns a data.frame of the estimated coefficients and their p-values for each feature, with FDR appended as a BH column.

propr documentation built on Dec. 16, 2019, 9:30 a.m.

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