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Contains functions for random generation of R x C and 2 x 2 x K contingency tables. In addition to the generation of contingency tables over predetermined intraclass-correlated clusters, it is possible to generate contingency tables without intraclass correlations under product multinomial, multinomial, and Poisson sampling plans. It also consists of a function for generation of random data from a given discrete probability distribution function. See Demirhan (2016) <https://journal.r-project.org/archive/2016-1/demirhan.pdf> for more information.
| Version: | 1.0.9 |
| Depends: | partitions, aster, stats |
| Published: | 2023-08-21 |
| DOI: | 10.32614/CRAN.package.rTableICC |
| Author: | Haydar Demirhan |
| Maintainer: | Haydar Demirhan <haydar.demirhan at rmit.edu.au> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Citation: | rTableICC citation info |
| CRAN checks: | rTableICC results |
| Reference manual: | rTableICC.pdf |
| Package source: | rTableICC_1.0.9.tar.gz |
| Windows binaries: | r-devel: rTableICC_1.0.9.zip, r-release: rTableICC_1.0.9.zip, r-oldrel: rTableICC_1.0.9.zip |
| macOS binaries: | r-release (arm64): rTableICC_1.0.9.tgz, r-oldrel (arm64): rTableICC_1.0.9.tgz, r-release (x86_64): rTableICC_1.0.9.tgz, r-oldrel (x86_64): rTableICC_1.0.9.tgz |
| Old sources: | rTableICC archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.