bounds_fit: Causal inference with multiple versions of control
In sscogges/controlhet:
Description
Usage
Arguments
Value
View source: R/multipleversions_code_110316.R
Description
Finds upper and lower bounds for the unidentified parameters
along with confidence intervals for the identified region
Usage
1
bounds_fit(Y0, Y1, D0, D1, alpha_level)
Arguments
Y0
observed outcomes in the Z = 0 arm
Y1
observed outcomes in the Z = 1 arm
D0
observed treatment types in the Z = 0 arm
D1
observed treatment types in the Z = 1 arm
alpha_level
the significance level at which confidence
intervals should be constructed
Value
a 4 x 4 matrix containing the bounds estimates, standard errors
and upper and lower confidence bounds
sscogges/controlhet documentation built on May 23, 2019, 11:30 p.m.
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Description Usage Arguments Value
View source: R/multipleversions_code_110316.R
Description
Finds upper and lower bounds for the unidentified parameters along with confidence intervals for the identified region
Usage
1 | bounds_fit(Y0, Y1, D0, D1, alpha_level)
|
Arguments
Y0 |
observed outcomes in the Z = 0 arm |
Y1 |
observed outcomes in the Z = 1 arm |
D0 |
observed treatment types in the Z = 0 arm |
D1 |
observed treatment types in the Z = 1 arm |
alpha_level |
the significance level at which confidence intervals should be constructed |
Value
a 4 x 4 matrix containing the bounds estimates, standard errors and upper and lower confidence bounds
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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