causal_mediator: Mediator Data
In quartets: Datasets to Help Teach Statistics
causal_mediator R Documentation
Mediator Data
Description
This dataset contains 100 observations, generated under the following mechanism:
X ~ N(0, 1) (exposure)
Z ~ X + N(0,1) (measured factor: mediator)
Y ~ Z + N(0, 1) (outcome)
Usage
causal_mediator
Format
A dataframe with 100 rows and 3 variables:
-
exposure: exposure
-
covariate: a known factor (mediator)
-
outcome: outcome
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.
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| causal_mediator | R Documentation |
Mediator Data
Description
This dataset contains 100 observations, generated under the following mechanism: X ~ N(0, 1) (exposure) Z ~ X + N(0,1) (measured factor: mediator) Y ~ Z + N(0, 1) (outcome)
Usage
causal_mediator
Format
A dataframe with 100 rows and 3 variables:
-
exposure: exposure -
covariate: a known factor (mediator) -
outcome: outcome
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.
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