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A revision to the stats::ks.test() function and the associated ks.test.Rd help page. With one minor exception, it does not change the existing behavior of ks.test(), and it adds features necessary for doing one-sample tests with hypothesized discrete distributions. The package also contains cvm.test(), for doing one-sample Cramer-von Mises goodness-of-fit tests.
| Version: | 1.4 |
| Published: | 2022-06-16 |
| Author: | Taylor B. Arnold, John W. Emerson, R Core Team and contributors worldwide |
| Maintainer: | Taylor B. Arnold <taylor.b.arnold at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] |
| NeedsCompilation: | yes |
| Citation: | dgof citation info |
| Materials: | README |
| CRAN checks: | dgof results |
| Reference manual: | dgof.pdf |
| Package source: | dgof_1.4.tar.gz |
| Windows binaries: | r-devel: dgof_1.4.zip, r-release: dgof_1.4.zip, r-oldrel: dgof_1.4.zip |
| macOS binaries: | r-release (arm64): dgof_1.4.tgz, r-oldrel (arm64): dgof_1.4.tgz, r-release (x86_64): dgof_1.4.tgz, r-oldrel (x86_64): dgof_1.4.tgz |
| Old sources: | dgof archive |
| Reverse imports: | cpd, KSgeneral, nestfs, scShapes |
| Reverse suggests: | discretefit, RVAideMemoire, sphunif |
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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.