auxdat_medisc: A simulated auxiliary data to show how to use 'bndovbme'...
In bndovb: Bounding Omitted Variable Bias Using Auxiliary Data
Description
Usage
Format
Source
Description
A simulated auxiliary data to show how to use 'bndovbme' function with discrete proxy variables
Usage
1
Format
A data frame with 3000 rows and 5 variables:
- w1
A common covariate in both main and auxiliary data
- x
A common covariate in both main and auxiliary data
- z1
A discrete proxy variable
- z2
A discrete proxy variable
- z3
A discrete proxy variable
Source
This dataset was simulated by simulatePackageData.R in data-raw folder
bndovb documentation built on July 31, 2021, 1:06 a.m.
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.
Description Usage Format Source
Description
A simulated auxiliary data to show how to use 'bndovbme' function with discrete proxy variables
Usage
1 |
Format
A data frame with 3000 rows and 5 variables:
- w1
A common covariate in both main and auxiliary data
- x
A common covariate in both main and auxiliary data
- z1
A discrete proxy variable
- z2
A discrete proxy variable
- z3
A discrete proxy variable
Source
This dataset was simulated by simulatePackageData.R in data-raw folder
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.