gt.pseudo: Good-Turing adjustment of sparse counts matrix

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

Description

gt.pseudo performs Good-Turing adjustment for sparse count matrix "counts", where each sample is independently adjusted.

Usage

gt.pseudo(counts)

Arguments

counts

Integer count matrix with features in rows and samples in columns

Details

Essentially a wrapper funtion for gt.pseudo.sample, which performs Good-Turing adjustment for a feature counts vector for a single sample.

See Also

gt.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.