Introduction | Getting Started | Central quantile subspace | Overview | The algorithm at a glance | Output of cqs | Value-at-Risk Estimation | Output of ValAR | Conclusion | References
Package: quantdr 1.3.2
quantdr: Dimension Reduction Techniques for Conditional Quantiles
An implementation of dimension reduction techniques for conditional quantiles. Nonparametric estimation of conditional quantiles is also available.
Authors:
quantdr_1.3.2.tar.gz
quantdr_1.3.2.zip(r-4.7-any)quantdr_1.3.2.zip(r-4.6-any)quantdr_1.3.2.zip(r-4.5-any)
quantdr_1.3.2.tgz(r-4.6-any)quantdr_1.3.2.tgz(r-4.5-any)
quantdr_1.3.2.tar.gz(r-4.7-any)quantdr_1.3.2.tar.gz(r-4.6-any)
quantdr_1.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
quantdr/json (API)
| # Install 'quantdr' in R: |
| install.packages('quantdr', repos = c('https://elianachristou.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/elianachristou/quantdr/issues
Last updated from:4bab7d54d5. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 158 | ||
| source / vignettes | OK | 185 | ||
| linux-release | OK | 178 | ||
| macos-release | OK | 120 | ||
| macos-oldrel | OK | 147 | ||
| windows-devel | OK | 79 | ||
| windows-release | OK | 80 | ||
| windows-oldrel | OK | 71 | ||
| wasm-release | OK | 129 |
Dependencies:KernSmoothlatticeMASSMatrixMatrixModelsmvtnormquantregSparseMsurvival
