simpowa
Power Analysis and Sample Size Calculation for Semi-Field Vector Control Trials
Uses simulations from generalized linear mixed-effects models to incorporate random effects across multiple sources and levels of variation, and a dispersion parameter to account for overdispersion and capture unexplained variability. Covers design scenarios for both short-term and long-term trials evaluating the impact of single or combined vector control interventions. Methods build on Kipingu et al. (2025) <doi:10.1186/s12936-025-05454-y> and Johnson et al. (2015) <doi:10.1111/2041-210X.12306>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.3 |
rolling linux/jammy R-4.5 | simpowa_1.0.3.tar.gz |
977.0 KiB |
1.0.3 |
rolling linux/noble R-4.5 | simpowa_1.0.3.tar.gz |
976.9 KiB |
1.0.3 |
rolling source/ R- | simpowa_1.0.3.tar.gz |
905.4 KiB |
1.0.3 |
latest linux/jammy R-4.5 | simpowa_1.0.3.tar.gz |
977.0 KiB |
1.0.3 |
latest linux/noble R-4.5 | simpowa_1.0.3.tar.gz |
976.9 KiB |
1.0.3 |
latest source/ R- | simpowa_1.0.3.tar.gz |
905.4 KiB |
1.0.3 |
2026-04-26 source/ R- | simpowa_1.0.3.tar.gz |
905.4 KiB |
1.0.3 |
2026-04-23 source/ R- | simpowa_1.0.3.tar.gz |
905.4 KiB |
1.0.3 |
2026-04-09 windows/windows R-4.5 | simpowa_1.0.3.zip |
990.2 KiB |