afex-package: The afex Package
In afex: Analysis of Factorial Experiments
Description
Analysis of Factorial Experiments.
Details
Package: afex
Type: Package
Version: 0.14-180
Date: 2015-05-18
Depends: R (>= 3.0.0), lme4 (>= 1.0.5), reshape2, lsmeans (>= 2.17)
Encoding: latin1
License: GPL (>=3)
URL: http://www.psychologie.uni-freiburg.de/Members/singmann/R/afex
Provides convenience functions for analyzing factorial experiments using ANOVA or mixed models. aov_ez(), aov_car(), and aov_4() allow convenient specification of between, within (i.e., repeated-measures), or mixed between-within (i.e., split-plot) ANOVAs for data in long format (i.e., one observation per row), potentially aggregating multiple observations per individual and cell of the design. mixed() fits mixed models using lme4::lmer() and computes p-values for all effects using either Kenward-Roger approximation for degrees of freedom (LMM only), parametric bootstrap (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex uses type 3 sums of squares as default (imitating commercial statistical software).
Author(s)
Henrik Singmann, Ben Bolker, Jake Westfall, with contributions from S<f8>ren H<f8>jsgaard, John Fox, Michael A. Lawrence, Ulf Mertens
afex documentation built on May 2, 2019, 6:08 p.m.
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Description
Analysis of Factorial Experiments.
Details
| Package: | afex |
| Type: | Package |
| Version: | 0.14-180 |
| Date: | 2015-05-18 |
| Depends: | R (>= 3.0.0), lme4 (>= 1.0.5), reshape2, lsmeans (>= 2.17) |
| Encoding: | latin1 |
| License: | GPL (>=3) |
| URL: | http://www.psychologie.uni-freiburg.de/Members/singmann/R/afex |
Provides convenience functions for analyzing factorial experiments using ANOVA or mixed models. aov_ez(), aov_car(), and aov_4() allow convenient specification of between, within (i.e., repeated-measures), or mixed between-within (i.e., split-plot) ANOVAs for data in long format (i.e., one observation per row), potentially aggregating multiple observations per individual and cell of the design. mixed() fits mixed models using lme4::lmer() and computes p-values for all effects using either Kenward-Roger approximation for degrees of freedom (LMM only), parametric bootstrap (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex uses type 3 sums of squares as default (imitating commercial statistical software).
Author(s)
Henrik Singmann, Ben Bolker, Jake Westfall, with contributions from S<f8>ren H<f8>jsgaard, John Fox, Michael A. Lawrence, Ulf Mertens
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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