fitZigResults-class: Class "fitZigResults" - a formal class for storing results...
In metagenomeSeq: Statistical analysis for sparse high-throughput sequencing

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.

call: the call made to fitZig
fit: 'MLArrayLM' Limma object of the weighted fit
countResiduals: standardized residuals of the fit
z: matrix of the posterior probabilities. It is defined as $z_ij = pr(delta_ij=1 | data)$
zUsed: used in getZ
eb: output of eBayes, moderated t-statistics, moderated F-statistics, etc
taxa: vector of the taxa names
counts: the original count matrix input
zeroMod: the zero model matrix
zeroCoef: the zero model fitted results
stillActive: convergence
stillActiveNLL: nll at convergence
dupcor: correlation of duplicates