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bmco

Bayesian methods for comparing groups on multiple binary outcomes.

Installation

# From CRAN (when accepted)
install.packages("bmco")

# Development version
# devtools::install_github("XynthiaKavelaars/bmco")

Quick Example

library(bmco)

# Generate data
set.seed(123)
data <- data.frame(
  treatment = rep(c("control", "drug"), each = 50),
  outcome1 = rbinom(100, 1, 0.5),
  outcome2 = rbinom(100, 1, 0.5)
)

# Analyze
result <- bmvb(
  data = data,
  grp = "treatment",
  grp_a = "control",
  grp_b = "drug",
  y_vars = c("outcome1", "outcome2"),
  n_it = 10000
)

print(result)

Functions

• bmvb(): Basic group comparison
• bglm(): Subgroup analysis
  
• bglmm(): Multilevel data

Getting Help

See vignette("introduction") for detailed examples.

Acknowledgements

The statistical underpinnings of this package were developed with financial support of a NWO (Dutch Research Council) research talent grant (no. 406.18.505) and the theoretical insights of Maurits Kaptein (Eindhoven University of Technology, The Netherlands) and Joris Mulder (Tilburg University, The Netherlands).

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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