clusterperm.glmer: Cluster-based permutation tests for time series data, based...
In permutes: Permutation Tests for Time Series Data
clusterperm.glmer R Documentation
Cluster-based permutation tests for time series data, based on generalized linear mixed-effects models or other buildmer models. This is an alias for clusterperm.lmer provided for discoverability.
Description
Cluster-based permutation tests for time series data, based on generalized linear mixed-effects models or other buildmer models. This is an alias for clusterperm.lmer provided for discoverability.
Usage
clusterperm.glmer(...)
Arguments
...
Arguments to be passed to clusterperm.lmer.
See Also
clusterperm.lmer
Examples
# Testing a single EEG electrode, with random effects by participants
perms <- perm.glmer(Fz ~ Deviant * Session + (Deviant * Session | Subject),data=MMN)
# Testing a single EEG electrode, with random effects by participants, ANOVA inference
perms <- perm.glmer(Fz ~ Deviant * Session + (Deviant * Session | Subject),data=MMN,type='anova')
permutes documentation built on Sept. 28, 2023, 5:07 p.m.
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.
| clusterperm.glmer | R Documentation |
Cluster-based permutation tests for time series data, based on generalized linear mixed-effects models or other buildmer models. This is an alias for clusterperm.lmer provided for discoverability.
Description
Cluster-based permutation tests for time series data, based on generalized linear mixed-effects models or other buildmer models. This is an alias for clusterperm.lmer provided for discoverability.
Usage
clusterperm.glmer(...)
Arguments
... |
Arguments to be passed to |
See Also
clusterperm.lmer
Examples
# Testing a single EEG electrode, with random effects by participants
perms <- perm.glmer(Fz ~ Deviant * Session + (Deviant * Session | Subject),data=MMN)
# Testing a single EEG electrode, with random effects by participants, ANOVA inference
perms <- perm.glmer(Fz ~ Deviant * Session + (Deviant * Session | Subject),data=MMN,type='anova')
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.