The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

twoCoprimary 1.0.0

Initial Release

This is the first release of twoCoprimary, providing comprehensive tools for sample size and power calculation in clinical trials with two co-primary endpoints.

Features

• Two Continuous Endpoints
  • ss2Continuous(), power2Continuous(), twoCoprimary2Continuous()
  • Based on Sozu et al. (2011)
  • Supports known and unknown variance cases
• Two Binary Endpoints (Asymptotic Methods)
  • ss2BinaryApprox(), power2BinaryApprox(), twoCoprimary2BinaryApprox()
  • Based on Sozu et al. (2010)
  • Four test methods: AN, ANc, AS, ASc
• Two Binary Endpoints (Exact Methods)
  • ss2BinaryExact(), power2BinaryExact(), twoCoprimary2BinaryExact()
  • Based on Homma and Yoshida (2025)
  • Five exact tests: Chisq, Fisher, Fisher-midP, Z-pool, Boschloo
• Mixed Continuous and Binary Endpoints
  • ss2MixedContinuousBinary(), power2MixedContinuousBinary(), twoCoprimary2MixedContinuousBinary()
  • Based on Sozu et al. (2012)
  • Supports biserial correlation structure
• Mixed Count and Continuous Endpoints
  • ss2MixedCountContinuous(), power2MixedCountContinuous(), twoCoprimary2MixedCountContinuous()
  • Based on Homma and Yoshida (2024)
  • Handles overdispersed count data with negative binomial distribution

Utility Functions

• corrbound2Binary() - Calculate valid correlation bounds for binary endpoints
• corrbound2MixedCountContinuous() - Calculate valid correlation bounds for count and continuous endpoints
• design_table() - Create comprehensive design comparison tables
• plot.twoCoprimary() - Visualize sample size vs correlation relationships

Documentation

• Six comprehensive vignettes covering all methodologies
• Complete function documentation with examples
• Validation against published results

Testing

• Comprehensive test suite with testthat
• Tests for all major functions
• Validation against published tables and results

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.
Health stats visible at Monitor.