Significance test which produces p-values and confidence intervals for each pair of input features.

`cor.mtest(mat, ...)`

mat

Input matrix of size `FxS`

, with `F`

columns that
represent features and `S`

rows that represent samples.

…

Additional arguments passed to function `cor.test`

,
e.g. `conf.level = 0.95`

.

Return a list containing:

Square matrix of size `FxF`

with p-values as cells

Square matrix of size `FxF`

, each cell represents the
*lower part* of a confidence interval

Square matrix of size `FxF`

, each cell represents the
*upper part* of a confidence interval

Function `cor.test`