rogue: Calculate the ROGUE value of each putative cluster for each...
In RyanYip-Kat/yipCat: Some function like ArchR style in Seurat Object

Calculate the ROGUE value of each putative cluster for each sample.

1	rogue(expr, labels, samples, platform = NULL, k= NULL, min.cell.n = 10, remove.outlier.n = 2, span = 0.5, r = 1, mt.method = c("fdr","BH"))

`expr`	The expression matrix. Rows should be genes and columns should be cells.
`labels`	A vector of cell cluster lables for all cells corresponding to 'expr' argument.
`samples`	A vector of samples (e.g. patients) to which each cell belongs, corresponding to 'expr' argument.
`min.cell.n`	Only clusters containing at least this many cells will receive ROGUE values.
`remove.outlier.n`	Remove this many outlier cells when calculating ROGUE.
`span`	The parameter α which controls the degree of smoothing.
`r`	A small fixed value to avoid log(0) of mean gene expression levels. The default value of r is set to 1, but can also be set to other values such as 0.1 and 0.01.
`filter`	Logical, whether to filter out low-abundance genes and low-quality cells.
`min.cells`	if parameter filter is "TRUE", include genes detected in at least this many cells.
`min.genes`	if parameter filter is "TRUE", Include cells where at least this many genes are detected.
`mt.method`	The multiple testing method used in p.adjust.