variance.tx.effects: Calculate correlation matrix for multinomial heterogeneity...
In MikeJSeo/network-meta: Bayesian Network Meta-Analysis
Description
Usage
Arguments
Examples
Description
This function calculates correlation matrix from the variance matrix for heterogeneity parameter. Only used for multinomial.
Usage
1
variance.tx.effects(result)
Arguments
result
Object created by network.run function
Examples
1
2
3
4
5
6
#cardiovascular
network <- with(cardiovascular, {
network.data(Outcomes, Study, Treat, N, response = "multinomial")
})
result <- network.run(network)
variance.tx.effects(result)
MikeJSeo/network-meta documentation built on May 3, 2019, 4:31 p.m.
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Description Usage Arguments Examples
Description
This function calculates correlation matrix from the variance matrix for heterogeneity parameter. Only used for multinomial.
Usage
1 | variance.tx.effects(result)
|
Arguments
result |
Object created by |
Examples
1 2 3 4 5 6 | #cardiovascular
network <- with(cardiovascular, {
network.data(Outcomes, Study, Treat, N, response = "multinomial")
})
result <- network.run(network)
variance.tx.effects(result)
|
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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