Package: cir 2.5.0
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_2.5.0.tar.gz
cir_2.5.0.zip(r-4.5)cir_2.5.0.zip(r-4.4)cir_2.5.0.zip(r-4.3)
cir_2.5.0.tgz(r-4.4-any)cir_2.5.0.tgz(r-4.3-any)
cir_2.5.0.tar.gz(r-4.5-noble)cir_2.5.0.tar.gz(r-4.4-noble)
cir_2.5.0.tgz(r-4.4-emscripten)cir_2.5.0.tgz(r-4.3-emscripten)
cir.pdf |cir.html✨
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 8 months agofrom:1614fb04fb. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 23 2024 |
R-4.5-win | NOTE | Nov 23 2024 |
R-4.5-linux | NOTE | Nov 23 2024 |
R-4.4-win | NOTE | Nov 23 2024 |
R-4.4-mac | NOTE | Nov 23 2024 |
R-4.3-win | OK | Nov 23 2024 |
R-4.3-mac | OK | Nov 23 2024 |
Exports:agcouCIcirPAVAdeltaInversedoseFinddoseResponseDRshrinkDRtraceis.doseResponseis.DRtraceisotIntervaliterCIRjeffCImorrisCIoldPAVAquickInversequickIsotoneslopewilsonCI
Dependencies: