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