eb.pseudo: empirical Bayes adjustment of sparse counts matrix

In ldiao/Gimp: Good-Turing and empirical Bayes pseudocounts for sparse count matrices

Description

eb.pseudo performs empirical Bayes adjustment for sparse count matrix "counts", where each sample is independently adjusted.

Usage

eb.pseudo(counts)

Arguments

counts

Integer count matrix with features in rows and samples in columns

Details

Essentially a wrapper funtion for eb.pseudo.sample, which performs empirical Bayes adjustment for a feature counts vector for a single sample.

See Also

eb.pseudo.sample for adjustment of a single sample. See sim.groups for a simple example.

ldiao/Gimp documentation built on May 20, 2019, 11:29 p.m.