simdata: Simulated multi-level data.
In nln6/psmultilevel: Functions to estimate ATT/ ATE for clustered data using matching and weighting-based methods.
Description
Usage
Format
Examples
Description
This data set is simulated to demonstrate the use of the
package psmultilevel. The treatment is randomly assigned to 30% of the
observations. The outcome is generated from a cluster-specific random effects
model. The true ATE/ ATT is fixed at -1.
Usage
1
Format
simdata is a dataframe with 1000 observations (rows) and 5
variables (columns) named X1, X2, cluster, Z,
and Y. The first two are independent observed variables.
cluster identifies the cluster to which the observation belongs.
Z denotes the treatment assignment (1 = Treated, 0 = Untreated).
Y is the outcome of interest.
Examples
1
2
nln6/psmultilevel documentation built on May 29, 2019, 7:18 a.m.
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Description Usage Format Examples
Description
This data set is simulated to demonstrate the use of the
package psmultilevel. The treatment is randomly assigned to 30% of the
observations. The outcome is generated from a cluster-specific random effects
model. The true ATE/ ATT is fixed at -1.
Usage
1 |
Format
simdata is a dataframe with 1000 observations (rows) and 5
variables (columns) named X1, X2, cluster, Z,
and Y. The first two are independent observed variables.
cluster identifies the cluster to which the observation belongs.
Z denotes the treatment assignment (1 = Treated, 0 = Untreated).
Y is the outcome of interest.
Examples
1 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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