phia-package: Post-Hoc Interaction Analysis
In phia: Post-Hoc Interaction Analysis
phia-package R Documentation
Post-Hoc Interaction Analysis
Description
Analysis of the expected values and other terms of in linear, generalized, and
mixed linear models, on the basis of multiple comparisons of factor contrasts.
Specially suited for the analysis of interaction effects.
Details
Package: phia
Type: Package
Version: 0.3-1
Date: 2024-01-03
License: GPL (>= 3)
This package contains functions that may be used for the post-hoc analysis
of any term of linear models (univariate or multivariate), generalized and mixed
linear models. The function testFactors provides a flexible user
interface for defining combinations of factor levels and covariates, to evaluate
and test the model, using the function linearHypothesis from package
car. testInteractions uses this function for multiple comparisons
of simple effects, interaction residuals, interaction contrasts, or user-defined
contrasts. interactionMeans may be used to explore the ‘cell
means’ of factorial designs, and plot main effects or first-order interactions.
Author(s)
Helios De Rosario-Martinez, with code contributions from John Fox (package
car) and the R Core Team (stats package).
Maintainer: Helios De Rosario-Martinez <helios.derosario@gmail.com>
phia documentation built on May 29, 2024, 6:47 a.m.
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| phia-package | R Documentation |
Post-Hoc Interaction Analysis
Description
Analysis of the expected values and other terms of in linear, generalized, and mixed linear models, on the basis of multiple comparisons of factor contrasts. Specially suited for the analysis of interaction effects.
Details
| Package: | phia |
| Type: | Package |
| Version: | 0.3-1 |
| Date: | 2024-01-03 |
| License: | GPL (>= 3) |
This package contains functions that may be used for the post-hoc analysis
of any term of linear models (univariate or multivariate), generalized and mixed
linear models. The function testFactors provides a flexible user
interface for defining combinations of factor levels and covariates, to evaluate
and test the model, using the function linearHypothesis from package
car. testInteractions uses this function for multiple comparisons
of simple effects, interaction residuals, interaction contrasts, or user-defined
contrasts. interactionMeans may be used to explore the ‘cell
means’ of factorial designs, and plot main effects or first-order interactions.
Author(s)
Helios De Rosario-Martinez, with code contributions from John Fox (package car) and the R Core Team (stats package).
Maintainer: Helios De Rosario-Martinez <helios.derosario@gmail.com>
R Package Documentation
Browse R Packages
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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