locus_variance_explained: locus_variance_explained
In CshlSiepelLab/DENR: Deconvolution of Expression for Nascent RNA Sequencing Data

Calculates fraction of variance in the data explained jointly by all models at a locus

1	locus_variance_explained(models, abundance, data, masks)

`models`	the matrix of transcript models
`abundance`	a matrix or vector of abundance values. When it is a matrix each column is a set of abundance values for all models at that loci. This is a more efficient way to calculate the variance explained at the locus for multiple different combinations of abundance values. If it is a vector it must have length equal to the number of models at the loci.
`data`	a vector of count data
`masks`	an integer vector of positions to be masked

a vector of the total variance explained at the locus by all models with one entry corresponding to each column of the aundance matrix or a single value if abundance is a vector

CshlSiepelLab/DENR documentation built on July 16, 2021, 10:42 p.m.