getNuisance: Get nuisance parameters and an initial estimation of the...
In Mengbo-Li/protDP: Estimation of the Detection Probability Curve in Label Free Shotgun Proteomics Data
getNuisance R Documentation
Get nuisance parameters and an initial estimation of the detection
probability curve (DPC)
Description
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
## NOT RUN
Mengbo-Li/protDP documentation built on Oct. 26, 2023, 9:50 p.m.
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| getNuisance | R Documentation |
Get nuisance parameters and an initial estimation of the detection probability curve (DPC)
Description
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
## NOT RUN
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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