DAMisc-package: Dave Armstrong's Miscellaneous Functions
In DAMisc: Dave Armstrong's Miscellaneous Functions
Description
Details
Author(s)
References
Description
Functions to aid in the presentation of linear model results
Details
Package: DAMisc
Type: Package
Version:
1.4-8
Date: 2018-05-16
License: GPL (>=2)
LazyLoad:
yes
These are functions that help present linear model results.
Largely, the represent alternatives in presentation to other R packages.
For example, the factorplot function offers an alternative to David
Firth's qvcalc package. This function calculates and presents exact
variances of all simple contrasts. Both DAintfun and
DAintfun2 are alternative ways of presenting interactions between two
continuous variables. DAintfun2 gives results in line with the
suggestions in Brambor, Clark and Golder (2006).
Author(s)
Dave Armstrong
Maintainer: Dave Armstrong
<davearmstrong.ps@gmail.com>
References
Armstrong, D.A. (2013) factorplot: Improving Presentation of
Simple Contrasts in GLMs. The R Journal. 5, 4-15. Brambor, T., W.R. Clark
and M. Golder. (2006) Understanding Interaction Models: Improving Empirical
Analyses. Political Analysis 14, 63-82.
Berrym, W., M. Golder and D.
Milton. (2012) Improving Tests of Theories Positing Interaction. Journal
of Politics 74, 653-671.
DAMisc documentation built on Jan. 12, 2022, 1:07 a.m.
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Description Details Author(s) References
Description
Functions to aid in the presentation of linear model results
Details
| Package: | DAMisc |
| Type: | Package |
| Version: | 1.4-8 |
| Date: | 2018-05-16 |
| License: | GPL (>=2) |
| LazyLoad: | yes |
These are functions that help present linear model results.
Largely, the represent alternatives in presentation to other R packages.
For example, the factorplot function offers an alternative to David
Firth's qvcalc package. This function calculates and presents exact
variances of all simple contrasts. Both DAintfun and
DAintfun2 are alternative ways of presenting interactions between two
continuous variables. DAintfun2 gives results in line with the
suggestions in Brambor, Clark and Golder (2006).
Author(s)
Dave Armstrong
Maintainer: Dave Armstrong
<davearmstrong.ps@gmail.com>
References
Armstrong, D.A. (2013) factorplot: Improving Presentation of
Simple Contrasts in GLMs. The R Journal. 5, 4-15. Brambor, T., W.R. Clark
and M. Golder. (2006) Understanding Interaction Models: Improving Empirical
Analyses. Political Analysis 14, 63-82.
Berrym, W., M. Golder and D.
Milton. (2012) Improving Tests of Theories Positing Interaction. Journal
of Politics 74, 653-671.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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