Statistical Analysis and Cut-Point Determination of Immunoassays
c(
person("Emma", "Gail", email = "emmahelengail@gmail.com", role = c("cre", "aut")),
person("Lidija", "Turkovic", email = "lidijat@gmail.com", role = "aut"),
person("Anil", "Dolgun", email = "anil.dolgun@csl.com.au", role="ctb"),
person("Monther", "Alhamdoosh", email = "monther.alhamdoosh@csl.com.au", role="ctb"),
person("Milica", "Ng", email = "milica.ng@csl.com.au", role="ctb"))
Systematically transform immunoassay data, evaluate if the data is normally distributed, and pick the right method for cut point determination based on that evaluation. This package can also produce plots that are needed for reports, so data analysis and visualization can be done easily.
Emma Gail [cre, aut],
Lidija Turkovic [aut],
Anil Dolgun [ctb],
Monther Alhamdoosh [ctb],
Milica Ng [ctb]

Yixuan Qiu, Jiali Mei and authors of the ARPACK library. See file
AUTHORS for details.
Previously an R wrapper of the 'ARPACK' library
<http://www.caam.rice.edu/software/ARPACK/>, and from version 0.8-0 an R
interface to the 'Spectra' library <http://yixuan.cos.name/spectra/>
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.

Previously an R wrapper of the 'ARPACK' library
<http://www.caam.rice.edu/software/ARPACK/>, and now a shell of the
R package 'RSpectra', an R interface to the 'Spectra' library
<http://yixuan.cos.name/spectra/> for solving large scale
eigenvalue/vector problems. The current version of 'rARPACK'
simply imports and exports the functions provided by 'RSpectra'.
New users of 'rARPACK' are advised to switch to the 'RSpectra' package.