gendistBasic: Generate basic data set for testing
In ivmte: Instrumental Variables: Extrapolation by Marginal Treatment Effects
Description
This code generates population level data to test the estimation
function. This is a simpler dataset, one in which we can more
easily estimate a correctly specified model. The data presented
below will have already integrated over the # unobservable terms
U, where U | X, Z ~ Unif[0, 1].
Usage
1
Value
a list of two data.frame objects. One is the distribution
of the simulated data, the other is the full simulated data
set.
ivmte documentation built on Sept. 17, 2021, 5:06 p.m.
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Description
This code generates population level data to test the estimation function. This is a simpler dataset, one in which we can more easily estimate a correctly specified model. The data presented below will have already integrated over the # unobservable terms U, where U | X, Z ~ Unif[0, 1].
Usage
1 |
Value
a list of two data.frame objects. One is the distribution of the simulated data, the other is the full simulated data set.
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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