Package: cir 2.5.2
cir: Centered Isotonic Regression and Dose-Response Utilities
Isotonic regression (IR) and its improvement: centered isotonic regression (CIR). CIR is recommended in particular with small samples. Also, interval estimates for both, and additional utilities such as plotting dose-response data. For dev version and change history, see GitHub assaforon/cir.
Authors:
cir_2.5.2.tar.gz
cir_2.5.2.zip(r-4.7-any)cir_2.5.2.zip(r-4.6-any)cir_2.5.2.zip(r-4.5-any)
cir_2.5.2.tgz(r-4.6-any)cir_2.5.2.tgz(r-4.5-any)
cir_2.5.2.tar.gz(r-4.7-any)cir_2.5.2.tar.gz(r-4.6-any)
cir_2.5.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
cir/json (API)
| # Install 'cir' in R: |
| install.packages('cir', repos = c('https://assaforon.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/assaforon/cir/issues
Last updated from:5300b745a0. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 102 | ||
| source / vignettes | OK | 152 | ||
| linux-release | OK | 100 | ||
| macos-release | OK | 180 | ||
| macos-oldrel | OK | 167 | ||
| windows-devel | OK | 71 | ||
| windows-release | OK | 69 | ||
| windows-oldrel | OK | 73 | ||
| wasm-release | OK | 74 |
Exports:agcouCIcirPAVAdeltaInversedoseFinddoseResponseDRshrinkDRtraceis.doseResponseis.DRtraceisotIntervaljeffCImorrisCIoldPAVAquickInversequickIsotoneslopewilsonCI
Dependencies:
