Estimate Quantiles Curves
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 12
- Examples that run
- 100%12 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing quantCurves adds 10 packages (8 with compiled code, 9.7 MB of source tarballs). Heaviest: cubature 3.2 MB, Rcpp 1.8 MB, crs 1.5 MB.
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.0.0Latest2022-03-11 · current release
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2022-03-11
- Total releases
- 1 / 4 yrs
- License
- CeCILL
- Download size
- 8.1 KB
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