Package: quantreg.nonpar 1.0
quantreg.nonpar: Nonparametric Series Quantile Regression
Implements the nonparametric quantile regression method developed by Belloni, Chernozhukov, and Fernandez-Val (2011) to partially linear quantile models. Provides point estimates of the conditional quantile function and its derivatives based on series approximations to the nonparametric part of the model. Provides pointwise and uniform confidence intervals using analytic and resampling methods.
Authors:
quantreg.nonpar_1.0.tar.gz
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quantreg.nonpar_1.0.tgz(r-4.4-any)quantreg.nonpar_1.0.tgz(r-4.3-any)
quantreg.nonpar_1.0.tar.gz(r-4.5-noble)quantreg.nonpar_1.0.tar.gz(r-4.4-noble)
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quantreg.nonpar.pdf |quantreg.nonpar.html✨
quantreg.nonpar/json (API)
| # Install 'quantreg.nonpar' in R: |
| install.packages('quantreg.nonpar', repos = c('https://ivanfernandezval.r-universe.dev', 'https://cloud.r-project.org')) |
- india - Childhood Malnutrition in India
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 years agofrom:c314d6cfbc. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 24 2024 |
| R-4.5-win | OK | Oct 24 2024 |
| R-4.5-linux | OK | Oct 24 2024 |
| R-4.4-win | OK | Oct 24 2024 |
| R-4.4-mac | OK | Oct 24 2024 |
| R-4.3-win | OK | Oct 24 2024 |
| R-4.3-mac | OK | Oct 24 2024 |
Exports:ddpolydpolyformulaDerivgausgbootstrapload.summsqrtno.processnpqrpivotalpoly.wrapremoveIwbootstrap
Dependencies:ashbitopscliclustercolorspacedeSolvefansifarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixMatrixModelsmclustmgcvmnormtmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaquantregR6rainbowRColorBrewerRcppRCurlRearrangementrlangscalesSparseMsurvivaltibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Nonparametric Series Quantile Regression | quantreg.nonpar-package quantreg.nonpar |
| Compute Second Derivative of Orthogonal Polynomials | ddpoly |
| Compute Derivative of Orthogonal Polynomials | dpoly |
| Derivative of Right Hand Side of Formula | formulaDeriv |
| Gaussian Process Inference for NPQR | gaus |
| Gradient Bootstrap Inference for NPQR | gbootstrap |
| Childhood Malnutrition in India | india |
| Appropriate Summary Statistics for Factors, Ordered Factors, and Numeric Variables | load.sum |
| Square Root of Matrix by Spectral Decomposition | msqrt |
| Estimation for NPQR with No Inference | no.process |
| Nonparametric Series Quantile Regression | npqr |
| Pivotal Process Inference for NPQR | pivotal |
| Orthogonal Polynomial Wrapper | poly.wrap |
| Remove I() Tags From Formula | removeI |
| Weighted Bootstrap Inference for NPQR | wbootstrap |
