Description Usage Arguments Value Author(s) See Also
View source: R/srcLineagePulse_decompressParameters.R
Compute dropout rate parameter estimates from dropout rate model for a gene.
1 2 | decompressDropoutRateByGene(matDropModel, vecMu = NULL,
vecPiConstPredictors = NULL, lsDropModelGlobal)
|
matDropModel |
(numerical matrix cell x number of model parameters) offset parameter, log(mu) parameter, parameters belonging to constant predictors Parameters of dropout rate model for all cells. |
vecMu |
(numerical vector number of genes) Mean parameter estimates of all cells for given gene. |
vecPiConstPredictors |
(numerical vector number of constant model predictors) Other model predictors than offset and the dynamically changing mean parameter. Examples are GC- content and other gene-specific properties. This would be the global parameters as listed in the other decompression function. Here those are not a list as there is only one object. |
lsDropModelGlobal |
(list) Object containing meta-data of cell-wise dropout parameter models. |
vecPi (numerical vector number of cells) Dispersion parameter estimates for given gene (one per cell for given gene).
David Sebastian Fischer
Called by fitZINB
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