fitPi_ManyCells {LineagePulse} | R Documentation |
This function fits a logistic drop-out model to a set of cells based on given gene-specific predictors (which enter the linear model). Parameter estimation of the linear model is performed by maximum likelihood based on the overall likelihood.
fitPi_ManyCells(vecParamGuess, matCounts, lsMuModel, lsDispModel, lsDropModel)
vecParamGuess |
(numeric vector length linear model) Initial parameter estimates for logit linear model for drop-out rate. |
matCounts |
(count matrix genes x cells) Observed read counts, not observed are NA. |
lsMuModel |
(list) Object containing description of gene-wise mean parameter models. |
lsDispModel |
(list) Object containing description of gene-wise dispersion parameter models. |
lsDropModel |
(list) Object containing description of cell-wise drop-out parameter models. |
vecLinModel (numeric vector length linear model) Linear model for drop-out rate in logit space for given cell.
David Sebastian Fischer
Called by drop-out estimation wrapper code in fitPi
.
Calls fitting cost function:
evalLogLikPiZINB_ManyCells_comp
.