match_probdropout_skewed_normal: Match a skewed normal distribution to the probabilistic...

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

Description

Find the mode of probdropout density and take 5 points around the mode with a distance according to the Laplace approximation variance and calculate the parameters of the skewed normal that most closely matches those 5 points.

Usage

match_probdropout_skewed_normal(mu, sigma2, rho, zeta)

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.

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