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>.

Version:	1.0.0
Imports:	graphics, KernSmooth, locpol, np, quantreg, quantregGrowth, stats
Published:	2022-03-11
DOI:	10.32614/CRAN.package.quantCurves
Author:	Sandie Ferrigno [cre, aut], Dounia Essaket [ctb], Arthur Mouchot [ctb], Hugo Breton [ctb], Myriam Maumy [ctb]
Maintainer:	Sandie Ferrigno <sandie.ferrigno at univ-lorraine.fr>
License:	CeCILL version 2 | CECILL-2.1 [expanded from: CeCILL]
NeedsCompilation:	no
CRAN checks:	quantCurves results

Documentation:

Reference manual:

quantCurves.html , quantCurves.pdf

Downloads:

Package source:	quantCurves_1.0.0.tar.gz
Windows binaries:	r-devel: quantCurves_1.0.0.zip, r-release: quantCurves_1.0.0.zip, r-oldrel: quantCurves_1.0.0.zip
macOS binaries:	r-release (arm64): quantCurves_1.0.0.tgz, r-oldrel (arm64): quantCurves_1.0.0.tgz, r-release (x86_64): quantCurves_1.0.0.tgz, r-oldrel (x86_64): quantCurves_1.0.0.tgz

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