reghelper

reghelper-package

The reghelper package offers numerous functions to make some aspects of
regression models (and similar types of modelling) simpler.

internal

A set of functions used to automate commonly used methods in
regression analysis. This includes plotting interactions, and calculating
simple slopes, standardized coefficients, regions of significance
(Johnson & Neyman, 1936; cf. Spiller et al., 2012), etc. See the reghelper
documentation for more information, documentation, and examples.

Jeffrey Hughes

Helper Functions for Regression Analysis

David Beiner

reghelper-package function

Maintainer: Jeffrey Hughes <a href="/link/jeff.hughes%40gmail.com?package=reghelper&version=1.1.2" data-mini-rdoc="reghelper::jeff.hughes@gmail.com">jeff.hughes@gmail.com</a>
Authors:<ul>
<li>David Beiner <a href="/link/beiner.reghelper%40gmail.com?package=reghelper&version=1.1.2" data-mini-rdoc="reghelper::beiner.reghelper@gmail.com">beiner.reghelper@gmail.com</a></li>
</ul>

Author

reghelper: A package to help with running regression analyses. — reghelper-package

Maintainer: Jeffrey Hughes <a href='mailto:jeff.hughes@gmail.com'>jeff.hughes@gmail.com</a>
Authors:<ul>
<li>David Beiner <a href='mailto:beiner.reghelper@gmail.com'>beiner.reghelper@gmail.com</a></li>
</ul>

`beta`	Calculates standardized beta coefficients.
`build_model`	Allows variables to be added to a series of regression models sequentially.
`ICC`	Calculates the intra-class correlation for a multi-level model.
`cell_means`	Calculate the estimated means for a fitted model.
`graph_model`	Easily graph interactions at +/- 1 SD (uses ggplot2 package).
`simple_slopes`	Easily calculate the simple effects of an interaction.
`sig_regions`	Calculate the Johnson-Neyman regions of significance for an interaction.

reghelper-package: reghelper: A package to help with running regression analyses.

Description

Arguments

Author

Details

See Also