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Provides different interval estimates of a location parameter when the sample size is one or more. These include classical methods when n=1, new Bayesian analogues of these classical methods, and extensions of these methods to larger sample sizes in the normal case. Other functions calculate Bayes factors based on t-statistics, and implement the (generalized) inverse normal distribution. These methods are described in Gerard (2026) <doi:10.48550/arXiv.2607.25007>.
| Version: | 0.0.2 |
| Depends: | R (≥ 3.5) |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-09-08 |
| DOI: | 10.32614/CRAN.package.nisone (may not be active yet) |
| Author: | David Gerard |
| Maintainer: | David Gerard <gerard.1787 at gmail.com> |
| BugReports: | https://github.com/dcgerard/nisone/issues |
| License: | GPL (≥ 3) |
| URL: | https://dcgerard.github.io/nisone/ |
| NeedsCompilation: | no |
| Citation: | nisone citation info |
| Materials: | README |
| CRAN checks: | nisone results |
| Reference manual: | nisone.html , nisone.pdf |
| Vignettes: |
Introduction to nisone (source, R code) |
| Package source: | nisone_0.0.2.tar.gz |
| Windows binaries: | r-devel: not available, r-release: nisone_0.0.2.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): nisone_0.0.2.tgz, r-oldrel (x86_64): nisone_0.0.2.tgz |
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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.