Changes in version 1.0.0 (2025-11-21)                  

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