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:Sandie Ferrigno [cre, aut], Dounia Essaket [ctb], Arthur Mouchot [ctb], Hugo Breton [ctb], Myriam Maumy [ctb]

quantCurves_1.0.0.tar.gz
quantCurves_1.0.0.zip(r-4.7)quantCurves_1.0.0.zip(r-4.6)quantCurves_1.0.0.zip(r-4.5)
quantCurves_1.0.0.tgz(r-4.6-any)quantCurves_1.0.0.tgz(r-4.5-any)
quantCurves_1.0.0.tar.gz(r-4.7-any)quantCurves_1.0.0.tar.gz(r-4.6-any)
quantCurves_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
quantCurves/json (API)

# Install 'quantCurves' in R:
install.packages('quantCurves', repos = c('https://nparamestimcurves.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 734 downloads 12 exports 15 dependencies

Last updated from:498963ea9c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK155
source / vignettesOK183
linux-release-x86_64OK132
macos-release-arm64OK183
macos-oldrel-arm64OK175
windows-develOK99
windows-releaseOK95
windows-oldrelOK98
wasm-releaseOK107

Exports:bandwidthbsplinesbSplinesDataCentCurvcompareCurvfourCurvlocNormCstlocNormCstDatalocNormLinlocNormLinDatapolylocLinpolylocLinData

Dependencies:bootcubatureKernSmoothlatticelocpolMASSMatrixMatrixModelsnpquadprogquantregquantregGrowthRcppSparseMsurvival