fit.cv.model: Create a model of the error in for a subset of marginal...
In jweile/tileseqMave: TileSeq MAVE Analysis pipeline
fit.cv.model R Documentation
Create a model of the error in for a subset of marginal frequencies
Description
Create a model of the error in for a subset of marginal frequencies
Usage
fit.cv.model(subscores, cond, noTryCutoff = 10)
Arguments
subcores
a subset of the count table (for a given tile)
Value
a list containing the model function (mapping counts to expected CV), and the model parameters
jweile/tileseqMave documentation built on April 5, 2024, 4:51 p.m.
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| fit.cv.model | R Documentation |
Create a model of the error in for a subset of marginal frequencies
Description
Create a model of the error in for a subset of marginal frequencies
Usage
fit.cv.model(subscores, cond, noTryCutoff = 10)
Arguments
subcores |
a subset of the count table (for a given tile) |
Value
a list containing the model function (mapping counts to expected CV), and the model parameters
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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