By default uses a random initialization vector that you can make deterministic using
set.seed
or override by specifying opts = list(initvec = ...)
.
eig_decomp(M, n_eigs, sym, ..., opts = list())
M | A matrix (e.g. from the Matrix package) or
a function (see |
---|---|
n_eigs | Number of eigenvectors to return. |
sym | defunct and ignored. |
... | Passed to |
see eigs
.
#> Error in eigs_real_sym(A, nrow(A), k, which, sigma, opts, mattype = "sym_matrix", extra_args = list(use_lower = TRUE)): dimension of 'A' must be at least 3