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).

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