glmnet.wrapper: Wrapper function for glmnet 'glmnet.wrapper'
In raguirreg/DeconCell: DeconCell

Description Usage Arguments Value Examples

Wrapper function for glmnet glmnet.wrapper

1
2
3

glmnet.wrapper(y, x, newx = NULL, newy = NULL, alpha.runs = NULL,
  parallel = F, return.type = "custom", method = "spearman",
  use = "pairwise.complete.obs", remove.outliers = FALSE)

`y`	numeric vector, in this case proportions which will be predicted
`x`	numeric matrix, in this case gene expression data from bulk tissues
`newx`	if not NULL, numeric matrix, in this case gene expression data from bulk tissues for which the proportions will be predicted for
`newy`	if not NULL, numeric vector,
`alpha.runs`	numeric vector of the alphas that will be testes
`parallel`	boolean, if TRUE then parallel
`return.type`	type of return: "custom", "model" or "all"
`method`	if newy != NULL, which correlation method will be used to calculate correlation coeficient between predicted proportions and measured ones.
`use`	usage of NAs within y, x, newx and newy
`remove.outliers`	boolan, if TRUE all outliers (as defined in boxplots) will be removed from y.