dat_obs: Observed data in a partially nested design.
In xliu12/IPWpn: Inverse-Propensity-Weighting for Partially Nested Designs
dat_obs R Documentation
Observed data in a partially nested design.
Description
A dataset simulated from a partially nested design containing two types of pre-treatment confounders, treatment assignments,
cluster assignments, and outcome scores.
Usage
data("dat_obs")
Format
A data frame on the following 5 variables.
Trta numeric vector
Ka numeric vector
Ya numeric vector
Ca numeric vector
Wa numeric vector
Examples
data(dat_obs)
xliu12/IPWpn documentation built on Aug. 14, 2022, 12:53 p.m.
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| dat_obs | R Documentation |
Observed data in a partially nested design.
Description
A dataset simulated from a partially nested design containing two types of pre-treatment confounders, treatment assignments, cluster assignments, and outcome scores.
Usage
data("dat_obs")
Format
A data frame on the following 5 variables.
Trta numeric vector
Ka numeric vector
Ya numeric vector
Ca numeric vector
Wa numeric vector
Examples
data(dat_obs)
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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