mean_probdropout: Find the mean of of the probabilistic dropout distribution...

In const-ae/proDD: Identifying Differentially Abundant Proteins from Label-Free Mass Spectrometry Data

Description

Find the mean of of the probabilistic dropout distribution function

Usage

mean_probdropout(mu, sigma2, rho, zeta, log = FALSE, approx = TRUE)

Arguments

mu	double. The mean of the observed values.
sigma2	double. The variance of the mu estimate.
rho	vector. The positions of the inflection points of the dropout curves for each sample. Can also be a single number that is repeated nmis times. Defaults to an empty vector.
zeta	vector. The scale of the dropout curves for each sample. Can also be a single number that is repeated nmis times. Defaults to an empty vector.
log	boolean if the log of the density is returned.
approx	boolean. If TRUE match the probabilistic dropout distribution to a skewed normal distribution and use its mean as an approximation. If FALSE calculate the first moment using numerical integration

Warning

This function is not vectorized

const-ae/proDD documentation built on Jan. 14, 2020, 9:34 a.m.