SimulatedAttrition: Data with simulated attrition on unobservables.
In RydenButler/attritR: Estimating average treatment effect under attrition on observables
Description
A dataset containing simulated data for computation with attritR.
Usage
1
Format
A data frame with 1000 rows and 4 variables:
- Y
Response variable generated from the equation
Y = 1*Treatment + 1*Covariate + 0.25*Treatment*Covariate + U;
where U is an unobserved error term.
Missingness in Y is generated by the equation R = -1*Treatment + 1*Covariate + 1*Instrument + V;
where V is an unobserved error term that is correlated with U.
Specifically, U and V are drawn randomly from a multivariate standard normal distribution with a covariance of 0.8.
- D
Treatment assignment drawn randomly from a binomial distribution with equal probability.
- X
Covariate generated from random draws on a uniform distribution from -1 to 1.
- Z
Instrument generated from random draws on a uniform distribution from -1 to 2.
...
RydenButler/attritR documentation built on Aug. 25, 2020, 3:57 p.m.
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Description
A dataset containing simulated data for computation with attritR.
Usage
1 |
Format
A data frame with 1000 rows and 4 variables:
- Y
Response variable generated from the equation Y = 1*Treatment + 1*Covariate + 0.25*Treatment*Covariate + U; where U is an unobserved error term. Missingness in Y is generated by the equation R = -1*Treatment + 1*Covariate + 1*Instrument + V; where V is an unobserved error term that is correlated with U. Specifically, U and V are drawn randomly from a multivariate standard normal distribution with a covariance of 0.8.
- D
Treatment assignment drawn randomly from a binomial distribution with equal probability.
- X
Covariate generated from random draws on a uniform distribution from -1 to 1.
- Z
Instrument generated from random draws on a uniform distribution from -1 to 2.
...
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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