d_100: Example data
In christian-gische/causalSEM: Analyze Causal Effects Using Interventional Distributions
d_100 R Documentation
Example data
Description
A dataset containing some data. The variables are as follows:
Usage
data(d_100)
Format
A data frame with 100 rows and 6 variables
Details
x1
y1
x2
y2
x3
y3
References
Gische, C., Voelkle, M.C. (2021) Beyond the mean: a flexible
framework for studying causal effects using linear models. Psychometrika
(advanced online publication). https://doi.org/10.1007/s11336-021-09811-z
christian-gische/causalSEM documentation built on April 26, 2023, 10:36 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.
| d_100 | R Documentation |
Example data
Description
A dataset containing some data. The variables are as follows:
Usage
data(d_100)
Format
A data frame with 100 rows and 6 variables
Details
x1
y1
x2
y2
x3
y3
References
Gische, C., Voelkle, M.C. (2021) Beyond the mean: a flexible framework for studying causal effects using linear models. Psychometrika (advanced online publication). https://doi.org/10.1007/s11336-021-09811-z
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.