plusminus.fit

An open-source implementation of latent variable methods and multivariate modeling tools. The focus is on exploratory analyses using dimensionality reduction methods including low dimensional embedding, classical multivariate statistical tools, and tools for enhanced interpretation of machine learning methods (i.e. intelligible models to provide important information for end-users).   Target domains include extension to dedicated applications e.g. for manufacturing process modeling, spectroscopic analyses, and data mining.

Nelson Afanador

mvdalab

Multivariate Data Analysis Laboratory

plusminus.fit function

<dl><dt>XX</dt>
<dd>a matrix of observations. <code>NAs</code> and <code>Infs</code> are not allowed.</dd><dt>YY</dt>
<dd>a vector. <code>NAs</code> and <code>Infs</code> are not allowed.</dd><dt>...</dt>
<dd>additional arguments. Currently ignored.</dd></dl>

Arguments

Richard Baumgartner (<a href="/link/richard_baumgartner%40merck.com?package=mvdalab&version=1.7" data-mini-rdoc="mvdalab::richard_baumgartner@merck.com">richard_baumgartner@merck.com</a>), Nelson Lee Afanador (<a href="/link/nelson.afanador%40mvdalab.com?package=mvdalab&version=1.7" data-mini-rdoc="mvdalab::nelson.afanador@mvdalab.com">nelson.afanador@mvdalab.com</a>)

Author

PlusMinus (Mas-o-Menos) — plusminus.fit

<dl>

<dt>XX</dt>
<dd>a matrix of observations. <code>NAs</code> and <code>Infs</code> are not allowed.</dd>

<dt>YY</dt>
<dd>a vector. <code>NAs</code> and <code>Infs</code> are not allowed.</dd>

<dt>...</dt>
<dd>additional arguments. Currently ignored.</dd>

</dl>

Richard Baumgartner (<a href='mailto:richard_baumgartner@merck.com'>richard_baumgartner@merck.com</a>), Nelson Lee Afanador (<a href='mailto:nelson.afanador@mvdalab.com'>nelson.afanador@mvdalab.com</a>)

plusminus.fit: PlusMinus (Mas-o-Menos)

Description

Usage

Value

Arguments

Author

Details

References

See Also