causal_quartet: Causal Quartet Data
In quartets: Datasets to Help Teach Statistics
causal_quartet R Documentation
Causal Quartet Data
Description
This dataset contains 400 observations, each generated under a different
data generating mechanism:
(1) A collider
(2) A confounder
(3) A mediator
(4) M-bias
Usage
causal_quartet
Format
A dataframe with 400 rows and 6 variables:
-
dataset: The data generating mechanism
-
exposure: exposure
-
outcome: outcome
-
covariate: a known factor
-
u1: an unknown factor
-
u2: an unknown factor
References
D'Agostino McGowan L, Barrett M (2023). Causal inference is not a statistical problem. Preprint arXiv:2304.02683v1.
quartets documentation built on April 14, 2023, 12:25 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.
| causal_quartet | R Documentation |
Causal Quartet Data
Description
This dataset contains 400 observations, each generated under a different data generating mechanism:
(1) A collider
(2) A confounder
(3) A mediator
(4) M-bias
Usage
causal_quartet
Format
A dataframe with 400 rows and 6 variables:
-
dataset: The data generating mechanism -
exposure: exposure -
outcome: outcome -
covariate: a known factor -
u1: an unknown factor -
u2: an unknown factor
References
D'Agostino McGowan L, Barrett M (2023). Causal inference is not a statistical problem. Preprint arXiv:2304.02683v1.
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.