bn.results.samples: Calculate Results
In thogaertner/cinof1: Analyse causal inferences in N-of-1 studies
Description
Usage
Arguments
Value
Examples
Description
This function calculates for each exposure the mean outcome on a sample and was implemented to deliver fast results. Nevertheless, the function should not used extensively for giving results as they are not reproducable.
Usage
1
bn.results.samples(fitted.model, dag, exposure_levels, verbose = TRUE)
Arguments
fitted.model
bn.fitted model
dag
result from bn.prep.dag
exposure_levels
levels to test exposure for
verbose
Identify if the function should print the results.
Value
data frame
Examples
1
bn.results.samples(fitted.bn, bn.dag, exposure_levels, FALSE)
thogaertner/cinof1 documentation built on Jan. 8, 2022, 10:37 a.m.
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Description Usage Arguments Value Examples
Description
This function calculates for each exposure the mean outcome on a sample and was implemented to deliver fast results. Nevertheless, the function should not used extensively for giving results as they are not reproducable.
Usage
1 | bn.results.samples(fitted.model, dag, exposure_levels, verbose = TRUE)
|
Arguments
fitted.model |
bn.fitted model |
dag |
result from bn.prep.dag |
exposure_levels |
levels to test exposure for |
verbose |
Identify if the function should print the results. |
Value
data frame
Examples
1 | bn.results.samples(fitted.bn, bn.dag, exposure_levels, FALSE)
|
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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