example_multilevel: Dataset example_multilevel.
In EffectLiteR: Average and Conditional Effects
example_multilevel R Documentation
Dataset example_multilevel.
Description
A simulated dataset with a cluster ID and sampling weights to test multilevel options. The variables are:
Format
A data frame with 800 rows and 7 variables.
Details
y. Coninuous dependent variable.
x. Treatment variable with values 0, 1.
z. Continuous covariate.
xz. Product of x and z.
cid. Cluster ID.
weights. Sampling weights.
iptw. Classic inverse probability of treatment weights based on a logistic regression of x on z. Use with care (only for average effects).
EffectLiteR documentation built on July 9, 2023, 7:02 p.m.
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| example_multilevel | R Documentation |
Dataset example_multilevel.
Description
A simulated dataset with a cluster ID and sampling weights to test multilevel options. The variables are:
Format
A data frame with 800 rows and 7 variables.
Details
y. Coninuous dependent variable.
x. Treatment variable with values 0, 1.
z. Continuous covariate.
xz. Product of x and z.
cid. Cluster ID.
weights. Sampling weights.
iptw. Classic inverse probability of treatment weights based on a logistic regression of x on z. Use with care (only for average effects).
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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