R wrapper of ARPACK for large scale eigenvalue/vector problems,
on both dense and sparse matrices
Yixuan Qiu and authors of the ARPACK library. See file AUTHORS for
details.
rARPACK is an R wrapper of the ARPACK library
(http://www.caam.rice.edu/software/ARPACK/) to solve large scale
eigenvalue/vector problems. It is typically used to compute a few
eigenvalues/vectors of an n by n matrix, e.g., the k largest eigenvalues,
which is usually more efficient than eigen() if k << n. This package
provides the eigs() function which does the similar job as in Matlab,
Octave, Python SciPy and Julia. It also provides the svds() function
to calculate the largest k singular values and corresponding
singular vectors of a real matrix. Matrices can be given in either dense
or sparse form.

An R wrapper of the 'ARPACK' library
<http://www.caam.rice.edu/software/ARPACK/> to solve large scale
eigenvalue/vector problems. It is typically used to compute a few
eigenvalues/vectors of an n by n matrix, e.g., the k largest eigenvalues,
which is usually more efficient than eigen() if k << n. This package
provides the 'eigs()' function which does the similar job as in 'Matlab',
'Octave', 'Python SciPy' and 'Julia'. It also provides the 'svds()' function
to calculate the largest k singular values and corresponding
singular vectors of a real matrix. Matrices can be given in either dense
or sparse form.

person(given = "Michael",
family = "Schramm",
role = c("aut", "cre", "cph"),
email = "mpschramm@gmail.com",
comment = c(ORCID = "0000-0003-1876-6592"))
An R interface to United States Environmental Protection Agency (EPA)
Assessment, Total Maximum Daily Load (TMDL) Tracking and Implementation System
('ATTAINS') data. 'ATTAINS' is the EPA database used to track information
provided by states about water quality assessments conducted under federal
Clean Water Act requirements. ATTAINS information and API information is available at <https://www.epa.gov/waterdata/attains>.
checkmate, crul, dplyr, fauxpas, fs, hoardr, janitor,
magrittr, purrr, rlang, rlist, tibble, tidyjson, tidyr
vcr (>= 0.6.0), testthat (>= 3.0.0), knitr, rmarkdown
Michael Schramm [aut, cre, cph]
(<https://orcid.org/0000-0003-1876-6592>)