Exact-package: Unconditional Exact Tests R Package
In Exact: Unconditional Exact Test
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Unconditional Exact Tests R Package
Description
This package performs unconditional exact tests using exact.test for independent samples or paired.exact.test function for paired samples. The unconditional exact tests for independent samples are referred to as Barnard's (1945, 1947) test and also extended to test two paired proportions. This package also includes the power.exact.test and power.paired.test functions to calculate the power of various tests and the exact.reject.region and paired.reject.region functions to determine the rejection region of a test.
Details
Unconditional exact tests are a more powerful alternative than conditional exact tests. This package can compute p-values, confidence intervals, and power calculations for various tests. Details of the tests are given in the exact.test documentation for independent samples and paired.exact.test documentation for paired samples.
Note
Thoughout the years I have received help while creating this package.
Special thanks goes to Philo Calhoun, Tal Galili, Kamil Erguler, Roger Berger, Karl Hufthammer, and the R community.
Author(s)
Peter Calhoun [aut, cre]
Maintainer: Peter Calhoun <calhoun.peter@gmail.com>
References
Barnard, G.A. (1945) A new test for 2x2 tables. Nature, 156, 177
Barnard, G.A. (1947) Significance tests for 2x2 tables. Biometrika, 34, 123–138
Boschloo, R. D. (1970), Raised Conditional Level of Significance for the 2x2-table when Testing the Equality of Two Probabilities. Statistica Neerlandica, 24, 1–35
Berger, R.L. and Sidik, K. (2003) Exact unconditional tests for 2 x 2 matched-pairs design. Statistical Methods in Medical Research, 12, 91–108
Hsueh, H., Liu, J., and Chen, J.J. (2001) Unconditional exact tests for equivalence or noninferiority for paired binary endpoints. Biometrics, 57, 478–483
Exact documentation built on Sept. 11, 2024, 6:17 p.m.
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Unconditional Exact Tests R Package
Description
This package performs unconditional exact tests using exact.test for independent samples or paired.exact.test function for paired samples. The unconditional exact tests for independent samples are referred to as Barnard's (1945, 1947) test and also extended to test two paired proportions. This package also includes the power.exact.test and power.paired.test functions to calculate the power of various tests and the exact.reject.region and paired.reject.region functions to determine the rejection region of a test.
Details
Unconditional exact tests are a more powerful alternative than conditional exact tests. This package can compute p-values, confidence intervals, and power calculations for various tests. Details of the tests are given in the exact.test documentation for independent samples and paired.exact.test documentation for paired samples.
Note
Thoughout the years I have received help while creating this package. Special thanks goes to Philo Calhoun, Tal Galili, Kamil Erguler, Roger Berger, Karl Hufthammer, and the R community.
Author(s)
Peter Calhoun [aut, cre]
Maintainer: Peter Calhoun <calhoun.peter@gmail.com>
References
Barnard, G.A. (1945) A new test for 2x2 tables. Nature, 156, 177
Barnard, G.A. (1947) Significance tests for 2x2 tables. Biometrika, 34, 123–138
Boschloo, R. D. (1970), Raised Conditional Level of Significance for the 2x2-table when Testing the Equality of Two Probabilities. Statistica Neerlandica, 24, 1–35
Berger, R.L. and Sidik, K. (2003) Exact unconditional tests for 2 x 2 matched-pairs design. Statistical Methods in Medical Research, 12, 91–108
Hsueh, H., Liu, J., and Chen, J.J. (2001) Unconditional exact tests for equivalence or noninferiority for paired binary endpoints. Biometrics, 57, 478–483
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