generate_ipdnma_example: Generate a simualted IPD-NMA data for demonstration
In bipd: Bayesian Individual Patient Data Meta-Analysis using 'JAGS'
View source: R/generate.example.data.R
generate_ipdnma_example R Documentation
Generate a simualted IPD-NMA data for demonstration
Description
Generate a simulated IPD-NMA data for demonstration
Usage
generate_ipdnma_example(type = "continuous")
Arguments
type
"continuous" for continuous outcome and "binary" for binary outcome
Value
return simulated IPD-NMA data
ds <- generate_ipdnma_example(type = "continuous")
head(ds)
bipd documentation built on June 7, 2022, 1:11 a.m.
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View source: R/generate.example.data.R
| generate_ipdnma_example | R Documentation |
Generate a simualted IPD-NMA data for demonstration
Description
Generate a simulated IPD-NMA data for demonstration
Usage
generate_ipdnma_example(type = "continuous")
Arguments
type |
"continuous" for continuous outcome and "binary" for binary outcome |
Value
return simulated IPD-NMA data ds <- generate_ipdnma_example(type = "continuous") head(ds)
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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