mode_probdropout: Find the mode of the probabilistic dropout distribution...
In const-ae/proDD: Identifying Differentially Abundant Proteins from Label-Free Mass Spectrometry Data

Find the mode of the probabilistic dropout distribution function

1	mode_probdropout(mu, sigma2, rho, zeta)

`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.

This function is not vectorized

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

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