Package: statip 0.2.3
statip: Statistical Functions for Probability Distributions and Regression
A collection of miscellaneous statistical functions for probability distributions: 'dbern()', 'pbern()', 'qbern()', 'rbern()' for the Bernoulli distribution, and 'distr2name()', 'name2distr()' for distribution names; probability density estimation: 'densityfun()'; most frequent value estimation: 'mfv()', 'mfv1()'; other statistical measures of location: 'cv()' (coefficient of variation), 'midhinge()', 'midrange()', 'trimean()'; construction of histograms: 'histo()', 'find_breaks()'; calculation of the Hellinger distance: 'hellinger()'; use of classical kernels: 'kernelfun()', 'kernel_properties()'; univariate piecewise-constant regression: 'picor()'.
Authors:
statip_0.2.3.tar.gz
statip_0.2.3.zip(r-4.7)statip_0.2.3.zip(r-4.6)statip_0.2.3.zip(r-4.5)
statip_0.2.3.tgz(r-4.6-x86_64)statip_0.2.3.tgz(r-4.6-arm64)statip_0.2.3.tgz(r-4.5-x86_64)statip_0.2.3.tgz(r-4.5-arm64)
statip_0.2.3.tar.gz(r-4.7-arm64)statip_0.2.3.tar.gz(r-4.7-x86_64)statip_0.2.3.tar.gz(r-4.6-arm64)statip_0.2.3.tar.gz(r-4.6-x86_64)
statip_0.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
statip/json (API)
NEWS
| # Install 'statip' in R: |
| install.packages('statip', repos = c('https://paulponcet.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/paulponcet/statip/issues
Last updated from:ed5cfd7d00. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 108 | ||
| linux-devel-x86_64 | OK | 122 | ||
| source / vignettes | OK | 206 | ||
| linux-release-arm64 | OK | 103 | ||
| linux-release-x86_64 | OK | 146 | ||
| macos-release-arm64 | OK | 129 | ||
| macos-release-x86_64 | OK | 248 | ||
| macos-oldrel-arm64 | OK | 92 | ||
| macos-oldrel-x86_64 | OK | 168 | ||
| windows-devel | OK | 77 | ||
| windows-release | OK | 73 | ||
| windows-oldrel | OK | 79 | ||
| wasm-release | OK | 103 |
Exports:.kernelsListas.stepfunbandwidthcvdberndensityfundistr2nameerffind_breakshellingerhistokernel_propertieskernelfunknotslagkmfvmfv1midhingemidrangena.passname2distrpbernpicorplotpredictqbernrberntableNAtrimean
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bandwidth calculation | bandwidth |
| Coefficient of variation | cv |
| The Bernoulli distribution | dbern pbern qbern rbern |
| Kernel density estimation | densityfun |
| Conversion between abbreviated distribution names and proper names | distr2name name2distr |
| Error function | erf |
| Breakpoints to be passed to a Histogram | find_breaks |
| Hellinger distance | hellinger |
| Alternative Histograms | histo |
| Smoothing kernels | .kernelsList kernelfun kernelfun.character kernelfun.function kernel_properties |
| Lag a vector | lagk |
| Most frequent value(s) | mfv mfv.default mfv.tableNA mfv1 |
| Midhinge | midhinge |
| Mid-range | midrange |
| Piecewise-constant regression | knots.picor picor plot.picor predict.picor print.picor |
| Basic plot of a loess object | plot.loess |
| Default model predictions | predict.default |
| Alternative Table Creation | tableNA |
| Tukey's trimean | trimean |
