dot-gets2: Obtain variances of logged counts.

In HCBravoLab/Wrench: Wrench normalization for sparse count data

Description

Obtain variances of logged counts.

Usage

.gets2(mat, design = model.matrix(mat[1, ] ~ 1), plot = FALSE,
  ebs2 = TRUE, smoothed = FALSE, ...)

Arguments

mat	count matrix; rows are features and columns are samples.
design	model matrix for the count matrix
plot	if the mean-variance trend function (the same as that of voom) needs to be plot.
ebs2	if regularization of variances needs to be performed.
smoothed	TRUE if all the variance estimates must be based on the mean-variance trend function.
...	other parameters

Value

a vector with variance estimates for logged feature-wise counts.

HCBravoLab/Wrench documentation built on May 13, 2019, 5:35 p.m.