dsn_data: Simulated dataset to illustrate how 'ds_function' in the...
In Ngendahimana/sensitivityR5: This package supports implementation of sensitivity analyisis using objects from Match, MatchIt and bmatch
Description
The data set has one outcome, one exposure and 9 covariates, with no missing observations anywhere.
Usage
1
Format
A data frame with 1000 rows and 11 variables. 300 treated and 700 controls :
- V1 - V6, V8
Continious variables
- V7,V9
Binary variables
- Y2
Outcome
- exposure
Treatment indicator
.
.
.
Ngendahimana/sensitivityR5 documentation built on June 24, 2020, 4:09 a.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
The data set has one outcome, one exposure and 9 covariates, with no missing observations anywhere.
Usage
1 |
Format
A data frame with 1000 rows and 11 variables. 300 treated and 700 controls :
- V1 - V6, V8
Continious variables
- V7,V9
Binary variables
- Y2
Outcome
- exposure
Treatment indicator
. . .
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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