Get nuisance parameters and an initial estimation of the detection probability curve (DPC)

The `getNuisance` function fits a logistic-linear model for detection proportion to the observed average intensity in each precursor. It also returns a list of nuisance parameters for convenience of use when estimating DPC, such as the vector of observed mean intensity in each precursor, the total samples size and the eBayes-trended observed variances in each precursor.

Usage

getNuisance(Y)

Arguments

Y

The log2-transformed intensity matrix where rows are precursors and columns are samples.

Value

A list of nuisance parameters for use to estimate the detection probability curve.

Examples

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