calculateEffectiveSamples: Estimated effective samples per feature

View source: R/calculateEffectiveSamples.R

calculateEffectiveSamplesR Documentation

Estimated effective samples per feature

Description

Calculates the number of estimated effective samples per feature from the output of a fitZig run. The estimated effective samples per feature is calculated as the sum_1^n (n = number of samples) 1-z_i where z_i is the posterior probability a feature belongs to the technical distribution.

Usage

calculateEffectiveSamples(obj)

Arguments

obj

The output of fitZig run on a MRexperiment object.

Value

A list of the estimated effective samples per feature.

See Also

fitZig MRcoefs MRfulltable


HCBravoLab/metagenomeSeq documentation built on Dec. 20, 2024, 4:06 p.m.