Package: quantCurves 1.0.0
quantCurves: Estimate Quantiles Curves
Non-parametric methods as local normal regression, polynomial local regression and penalized cubic B-splines regression are used to estimate quantiles curves. See Fan and Gijbels (1996) <doi:10.1201/9780203748725> and Perperoglou et al.(2019) <doi:10.1186/s12874-019-0666-3>.
Authors:
quantCurves_1.0.0.tar.gz
quantCurves_1.0.0.zip(r-4.5)quantCurves_1.0.0.zip(r-4.4)quantCurves_1.0.0.zip(r-4.3)
quantCurves_1.0.0.tgz(r-4.4-any)quantCurves_1.0.0.tgz(r-4.3-any)
quantCurves_1.0.0.tar.gz(r-4.5-noble)quantCurves_1.0.0.tar.gz(r-4.4-noble)
quantCurves_1.0.0.tgz(r-4.4-emscripten)quantCurves_1.0.0.tgz(r-4.3-emscripten)
quantCurves.pdf |quantCurves.html✨
quantCurves/json (API)
| # Install 'quantCurves' in R: |
| install.packages('quantCurves', repos = c('https://nparamestimcurves.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:498963ea9c. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 08 2024 |
| R-4.5-win | OK | Nov 08 2024 |
| R-4.5-linux | OK | Nov 08 2024 |
| R-4.4-win | OK | Nov 08 2024 |
| R-4.4-mac | OK | Nov 08 2024 |
| R-4.3-win | OK | Nov 08 2024 |
| R-4.3-mac | OK | Nov 08 2024 |
Exports:bandwidthbsplinesbSplinesDataCentCurvcompareCurvfourCurvlocNormCstlocNormCstDatalocNormLinlocNormLinDatapolylocLinpolylocLinData
Dependencies:bootcubatureKernSmoothlatticelocpolMASSMatrixMatrixModelsnpquadprogquantregquantregGrowthRcppSparseMsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| bandwidth selection function | bandwidth |
| Cubic Penalized B-splines quantile regression | bsplines |
| Centile curves using B-splines compared to noise data | bSplinesData |
| Centile curves based on one of the different methods | CentCurv |
| Centile curves according to different methods | compareCurv |
| Centile curves based on each of the four different methods | fourCurv |
| Normal local constant estimator | locNormCst |
| Centile curves using local polynomial compared to noise data | locNormCstData |
| Normal local Linear estimator | locNormLin |
| Centile curves using local linear polynomial compared to noise data | locNormLinData |
| Polynomial local linear estimator | polylocLin |
| Polynomial local linear estimator compared to noise data | polylocLinData |
