fitZigResults-class: Class "fitZigResults" - a formal class for storing results...
In HCBravoLab/metagenomeSeq: Statistical analysis for sparse high-throughput sequencing
fitZigResults-class R Documentation
Class "fitZigResults" – a formal class for storing results from a fitZig call
Description
This class contains all of the same information expected from a fitZig call,
but it is defined in the S4 style as opposed to being stored as a list.
Slots
callthe call made to fitZig
fit'MLArrayLM' Limma object of the weighted fit
countResidualsstandardized residuals of the fit
zmatrix of the posterior probabilities. It is defined as $z_ij = pr(delta_ij=1 | data)$
zUsedused in getZ
eboutput of eBayes, moderated t-statistics, moderated F-statistics, etc
taxavector of the taxa names
countsthe original count matrix input
zeroModthe zero model matrix
zeroCoefthe zero model fitted results
stillActiveconvergence
stillActiveNLLnll at convergence
dupcorcorrelation of duplicates
HCBravoLab/metagenomeSeq documentation built on Dec. 20, 2024, 4:06 p.m.
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| fitZigResults-class | R Documentation |
Class "fitZigResults" – a formal class for storing results from a fitZig call
Description
This class contains all of the same information expected from a fitZig call, but it is defined in the S4 style as opposed to being stored as a list.
Slots
callthe call made to fitZig
fit'MLArrayLM' Limma object of the weighted fit
countResidualsstandardized residuals of the fit
zmatrix of the posterior probabilities. It is defined as $z_ij = pr(delta_ij=1 | data)$
zUsedused in
getZeboutput of eBayes, moderated t-statistics, moderated F-statistics, etc
taxavector of the taxa names
countsthe original count matrix input
zeroModthe zero model matrix
zeroCoefthe zero model fitted results
stillActiveconvergence
stillActiveNLLnll at convergence
dupcorcorrelation of duplicates
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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