Computes the observation level weight based on the mean-variance relationship.

asinhVoom(counts, design = NULL, sj, span = 0.5, plot = FALSE)

Arguments

counts

A numeric matrix of otu_table.

design

A design matrix with rows corresponding to samples and columns to coefficients to be estimated. Defaults to the unit vector meaning that samples are treated as replicates.

sj

A numeric vector containing library size normalization factor based on the median-ratio method.

span

A numeric. Width of the lowess smoothing window as a proportion.

plot

A logical, should a plot of the mean-variance trend be displayed?

Value

A matrix of variance stablized counts.