| get_model_var {sctransform} | R Documentation |
This is based on the formula var = mu + mu^2 / theta
get_model_var(vst_out, cell_attr = vst_out$cell_attr, use_nonreg = FALSE, bin_size = 256, show_progress = TRUE)
vst_out |
The output of a vst run |
cell_attr |
Data frame of cell meta data |
use_nonreg |
Use the non-regularized parameter estimates; boolean; default is FALSE |
bin_size |
Number of genes to put in each bin (to show progress) |
show_progress |
Whether to print progress bar |
A named vector of variances (the average across all cells), one entry per gene.
## Not run: vst_out <- vst(pbmc) res_var <- get_model_var(vst_out) ## End(Not run)