smp: Fit the Selection Model for Proteomics
In ColtoCaro/missMS: Missing Data Models for Label-Free Mass Spectrometry Proteomics
Description
Fit the Selection Model for Proteomics
Usage
1
Arguments
dat
Correctly formated and normalized data frame
ndraws
Number of draws of the Gibbs Sampler
burn
Number of draws to discard before summarizing the posterior
fc_prior
Explicitly set a prior for the variance of the fold change
parameter. By default this is set to zero which uses the usual shared
variance component. Specifying a weak prior will avoid shrinkage in the
estimates.
ColtoCaro/missMS documentation built on May 7, 2019, 2:52 a.m.
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Description
Fit the Selection Model for Proteomics
Usage
1 |
Arguments
dat |
Correctly formated and normalized data frame |
ndraws |
Number of draws of the Gibbs Sampler |
burn |
Number of draws to discard before summarizing the posterior |
fc_prior |
Explicitly set a prior for the variance of the fold change parameter. By default this is set to zero which uses the usual shared variance component. Specifying a weak prior will avoid shrinkage in the estimates. |
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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