2c096805eb2e71642c8a56f7c16cd133 *DESCRIPTION
df390c53434517b304ac5db487184641 *NAMESPACE
2367493fd8c81afd9949a53a731d76bc *R/Analyze.Binomial.R
31f92de3059948e055392debf6254511 *R/AnalyzeSetUp.Binomial.R
5b536638a57f60d0b8d253663c53d088 *R/CV.Binomial.R
42a08f1956859bd8f1a39effa212991a *R/CV.G.Binomial.R
5b534df489499346c4c44932bb1908a6 *R/CV.G.Poisson.R
0034fbac66e3a39ce64eae625c2551bc *R/CV.Poisson.R
1e24f06af6b749bf49284edd1c45000d *R/Performance.Binomial.R
9fa3f29a307e535f8b8aba8a0c2f714d *R/Performance.G.Binomial.R
30808031746d619c22b33ce96e6599e0 *R/Performance.G.Poisson.R
c601715bce6bac285127064e006802da *R/Performance.Poisson.R
30bbe6cc96b8bf29ebd278582f3373ae *R/SampleSize.Binomial.R
2704670f4d44df35b73452ea65a6d79e *R/SampleSize.Poisson.R
e0a0f35f71b85b146bb8ef1e16b83022 *man/Analyze.Binomial.Rd
0f1282b38166cc9cecd8ce6ed0073105 *man/AnalyzeSetUp.Binomial.Rd
c14b42f419b9b62768f28f01b8ed64d7 *man/CV.Binomial.Rd
a00c88de540f0624f50fe815b56c541f *man/CV.G.Binomial.Rd
bb21e2c0105e3c248f5a000a7b303c52 *man/CV.G.Poisson.Rd
7477ceab3269b86e1f1973e678327308 *man/CV.Poisson.Rd
2d5efa9269fd4f9fca612c66d4d20a3a *man/Performance.Binomial.Rd
6c3b3d5164c229d81d58617c09c71d46 *man/Performance.G.Binomial.Rd
61de87b15a39c4c7f169b8a35faba8cf *man/Performance.G.Poisson.Rd
76d93c1e4aec2608c5709350a4005851 *man/Performance.Poisson.Rd
c2b1a6acd1584bf4a3a76b3db98fecc0 *man/SampleSize.Binomial.Rd
e08e6b383ba6d44f5b7c4e79991e50fc *man/SampleSize.Poisson.Rd
86f43269a5767890e003ca71c34a007d *man/Sequential-package.Rd
