summary.clusbootemm: Summarize estimated marginal means for cluster bootstrap GLM...
In ClusterBootstrap: Analyze Clustered Data with Generalized Linear Models using the Cluster Bootstrap
Description
Usage
Arguments
Author(s)
Examples
Description
Returns the summary of the EMM for a clusbootglm class object.
Usage
1
2
Arguments
object
object of class clusbootemm.
...
other arguments.
Author(s)
Mathijs Deen
Examples
1
2
3
4
5
6
7
8
## Not run:
medication <- medication[medication$time %% 1 == 0,]
medication$time_f <- as.factor(medication$time)
set.seed(1)
model.1 <- clusbootglm(pos~time_f*treat, clusterid=id, data=medication)
emm.1 <- emm(object = model.1)
summary(object = emm.1)
## End(Not run)
ClusterBootstrap documentation built on Feb. 16, 2021, 5:06 p.m.
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Description Usage Arguments Author(s) Examples
Description
Returns the summary of the EMM for a clusbootglm class object.
Usage
1 2 |
Arguments
object |
object of class |
... |
other arguments. |
Author(s)
Mathijs Deen
Examples
1 2 3 4 5 6 7 8 | ## Not run:
medication <- medication[medication$time %% 1 == 0,]
medication$time_f <- as.factor(medication$time)
set.seed(1)
model.1 <- clusbootglm(pos~time_f*treat, clusterid=id, data=medication)
emm.1 <- emm(object = model.1)
summary(object = emm.1)
## End(Not run)
|
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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