Package: nisone 0.0.2
nisone: Inference for Samples of Size at Least One
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>.
Authors:
nisone_0.0.2.tar.gz
nisone_0.0.2.zip(r-4.7-any)nisone_0.0.2.zip(r-4.6-any)nisone_0.0.2.zip(r-4.5-any)
nisone_0.0.2.tgz(r-4.6-any)nisone_0.0.2.tgz(r-4.5-any)
nisone_0.0.2.tar.gz(r-4.7-any)nisone_0.0.2.tar.gz(r-4.6-any)
nisone_0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
nisone/json (API)
| # Install 'nisone' in R: |
| install.packages('nisone', repos = c('https://dcgerard.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dcgerard/nisone/issues
Pkgdown/docs site:https://dcgerard.github.io
Last updated from:8537d7bce5. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 122 | ||
| source / vignettes | OK | 156 | ||
| linux-release | OK | 120 | ||
| macos-release | OK | 113 | ||
| macos-oldrel | OK | 109 | ||
| windows-devel | OK | 86 | ||
| windows-release | OK | 77 | ||
| windows-oldrel | OK | 88 | ||
| wasm-release | OK | 92 |
Exports:aug_tbci1bcinbftblevelci1d_wcdginvnormdidistdinvnormdn1postmean_augmginvnormnun1postp_wcpginvnormpidistpinvnormpn1postqginvnormqidistqinvnormqn1postrginvnormridistrinvnormrn1postvar_augwc_alphawc_covwc_widthxginvnorm
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Augmented t-interval | aug_t |
| Bayesian credible interval when n=1 | bci1 |
| Bayesian credible interval when n >= 1 | bcin |
| Bayes factor from t-statistic | bft |
| True level of the Bayesian credible interval at a given coefficient of variation | blevel |
| n=1 confidence interval | ci1 |
| Confidence density based on n=1 confidence interval | d_wc |
| The generalized inverse normal distribution | dginvnorm ginvnorm mginvnorm pginvnorm qginvnorm rginvnorm xginvnorm |
| General inverse distribution | didist idist pidist qidist ridist |
| The inverse normal distribution | dinvnorm invnorm pinvnorm qinvnorm rinvnorm |
| Augmented mean | mean_aug |
| Posterior Distribution for n=1 Data | dn1post n1post nun1post pn1post qn1post rn1post |
| Confidence distribution CDF based on n=1 confidence interval | p_wc |
| Augmented variance | var_aug |
| Worst case exclusion probability of a n=1 confidence interval | wc_alpha |
| Worst-case coefficient of variation | wc_cov |
| Given confidence level, provide half-width of CI | wc_width |
