acfplot

This function computes the autocorrelation function estimates for a selected parameter.

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

acfplot function

<dl><dt>object</dt>
<dd>an object of class <code>mvdareg</code>, i.e., <code>plsFit</code>.</dd><dt>parm</dt>
<dd>a chosen predictor variable; if <code>NULL</code> a random predictor variable is chosen</dd></dl>

Arguments

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

Plot of Auto-correlation Funcion — acfplot

<dl>

<dt>object</dt>
<dd>an object of class <code>mvdareg</code>, i.e., <code>plsFit</code>.</dd>

<dt>parm</dt>
<dd>a chosen predictor variable; if <code>NULL</code> a random predictor variable is chosen</dd>

</dl>

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

acfplot: Plot of Auto-correlation Funcion

Description

Usage

Arguments

Author

Details

References

See Also

Examples