View source: R/get_matrix_feasibility.R
get_matrix_feasibility | R Documentation |
this is encapsulated to account for cases in which the matrix is not invertible, and we add a small amount of noise
get_matrix_feasibility(
A = NULL,
bootstrap.replicates = 1000,
noise.threshold = c(0, 1),
noise.type = c("random", "targeted")
)
A |
interaction matrix |
bootstrap.replicates |
replicates in case A is not invertible |
noise.threshold |
numeric vector with a minimum and a maximum amount of noise to be incorporated in case A is not invertible |
noise.type |
'random' or 'targeted'. Noise added to any column at random, or to columns which are linear combinations of the rest |
dataframe with feasibility domain, the condition number (see base function 'kappa'), and other info if A is not invertible.
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