Description: Allows the user to determine minimum sample sizes that achieve target size and power at a specified alternative. For more information, see “Exact samples sizes for clinical trials subject to size and power constraints” by Lloyd, C.J. (2022) Preprint <doi:10.13140/RG.2.2.11828.94085>.

Title: Exact Conditional Tests and Confidence Intervals for 2x2 tables
Description: Calculates Fisher's exact and Blaker's exact tests with

Description: Calculates Fisher's exact test, Blaker's exact test, or
the exact McNemar's test with appropriate matching confidence

Description: Calculates Fisher's exact test, Blaker's exact test, or the exact McNemar's test with appropriate matching confidence intervals.

Description: Calculates Fisher's exact test, Blaker's exact test, or the exact McNemar's test with appropriate matching confidence intervals. Provides power and sample size calculations. Also gives melded confidence intervals for the binomial case.

Title: Exact Tests and Confidence Intervals for 2x2 Tables
Author: Michael P. Fay, Sally A. Hunsberger
Depends: stats (>= 3.1.1), exactci, ssanv
Description: Calculates conditional exact tests (Fisher's exact test, Blaker's exact test, or  exact McNemar's test) and unconditional exact tests (including score-based tests on differences in proportions, ratios of proportions, and odds ratios, and Boshcloo's test) with appropriate matching confidence intervals, and provides power and sample size calculations. Also gives melded confidence intervals for the binomial case.

Author: Michael P. Fay, Sally A. Hunsberger, Martha Nason, Erin Gabriel
Depends: R (>= 2.10), stats (>= 3.1.1), exactci, ssanv
Description: Calculates conditional exact tests (Fisher's exact test, Blaker's exact test, or  exact McNemar's test) and unconditional exact tests (including score-based tests on differences in proportions, ratios of proportions, and odds ratios, and Boshcloo's test) with appropriate matching confidence intervals, and provides power and sample size calculations. Gives melded confidence intervals for the binomial case. Gives boundary-optimized rejection region test (Gabriel, et al, 2018, <DOI:10.1002/sim.7579>), an unconditional exact test for the situation where the controls are all expected to fail.