standardize_feature {MMUPHin} | R Documentation

## Centralize (by design matrix) and standardize (by pooled variance across all batches) feature abundances for empirical Bayes fit

### Description

Centralize (by design matrix) and standardize (by pooled variance across all batches) feature abundances for empirical Bayes fit

### Usage

    standardize_feature(y, i_design, n_batch)

### Arguments

`y` | vector of non-zero abundance of a single feature (if zero-inflated is true).
`i_design` | design matrix for the feature; samples with zeros are taken out (if zero-inflated is true).
`n_batch` | number of batches in the data.

### Value

a list with component: y_stand for vector of centralized and standardized feature abundance, and stand_mean/varpooled for the location and scale factor (these are used later to back transform the batch-shrinked feature abundance).

[Package MMUPHin version 1.0.0 Index]