R: Build a Generalized Linear Model from CLR Data

lr2glm {propr} | R Documentation

## Build a Generalized Linear Model from CLR Data

### Description

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

### Usage

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

### Arguments

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

### Value

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

[Package propr version 4.1.6 Index]