testdata: A test data set for the glmmplus package
In google/glmmplus: Multiple Imputation and Model Selection
Description
Usage
Details
Examples
Description
Completely made up. y or y.binary are meant to be the response variables.
x, w, and z are continuous predictors, and factor.1 and factor.2 are categorical predictors.
The categorical predictors are also used as the id variable corresponding to a random effect
for testing of the lme4 based function calls.
Usage
1
Details
The data set was generated using R's random number generators.
Examples
1
2
google/glmmplus documentation built on May 17, 2019, 7:47 a.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.
Description Usage Details Examples
Description
Completely made up. y or y.binary are meant to be the response variables. x, w, and z are continuous predictors, and factor.1 and factor.2 are categorical predictors. The categorical predictors are also used as the id variable corresponding to a random effect for testing of the lme4 based function calls.
Usage
1 |
Details
The data set was generated using R's random number generators.
Examples
1 2 |
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.