regmir | R Documentation |
miRNA enrichment analysis using regularized regression
regmir(
signal,
sets,
binary = NULL,
alpha = 1,
do.plot = FALSE,
use.intercept = FALSE,
keepAll = TRUE
)
regmir.bb(signal, sets, ...)
regmir.bc(signal, sets, ...)
regmir.cc(signal, sets, ...)
signal |
A vector of logical or numeric values, with gene symbols as names. |
sets |
A data.frame with at least the following columns: 'set', 'feature', and (if binary=FALSE) 'score'. Alternatively, a sparse logical (if binary=TRUE) or numeric matrix with features as rows and sets as columns. |
binary |
Logical; whether to consider target prediction as binary. |
alpha |
elastic net mixing param (0=ridge, 1=lasso) |
do.plot |
Logical, whether to plot coefficients against lambda |
use.intercept |
Logical, whether to use an intercept in the model. |
keepAll |
Logical, whether to return all families. |
A DataFrame.
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