Package: kde1d 1.0.6
kde1d: Univariate Kernel Density Estimation
Provides an efficient implementation of univariate local polynomial kernel density estimators that can handle bounded and discrete data. See Geenens (2014) <arxiv:1303.4121>, Geenens and Wang (2018) <arxiv:1602.04862>, Nagler (2018a) <arxiv:1704.07457>, Nagler (2018b) <arxiv:1705.05431>.
Authors:
kde1d_1.0.6.tar.gz
kde1d_1.0.6.zip(r-4.5)kde1d_1.0.6.zip(r-4.4)kde1d_1.0.6.zip(r-4.3)
kde1d_1.0.6.tgz(r-4.4-x86_64)kde1d_1.0.6.tgz(r-4.4-arm64)kde1d_1.0.6.tgz(r-4.3-x86_64)kde1d_1.0.6.tgz(r-4.3-arm64)
kde1d_1.0.6.tar.gz(r-4.5-noble)kde1d_1.0.6.tar.gz(r-4.4-noble)
kde1d_1.0.6.tgz(r-4.4-emscripten)kde1d_1.0.6.tgz(r-4.3-emscripten)
kde1d.pdf |kde1d.html✨
kde1d/json (API)
NEWS
| # Install 'kde1d' in R: |
| install.packages('kde1d', repos = c('https://tnagler.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tnagler/kde1d/issues
Last updated 9 months agofrom:7e7bb7f84b. Checks:OK: 2 NOTE: 3 WARNING: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 10 2024 |
| R-4.5-win-x86_64 | NOTE | Nov 10 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 10 2024 |
| R-4.4-win-x86_64 | NOTE | Nov 10 2024 |
| R-4.4-mac-x86_64 | WARNING | Nov 10 2024 |
| R-4.4-mac-aarch64 | WARNING | Nov 10 2024 |
| R-4.3-win-x86_64 | OK | Nov 10 2024 |
| R-4.3-mac-x86_64 | WARNING | Nov 10 2024 |
| R-4.3-mac-aarch64 | WARNING | Nov 10 2024 |
Exports:dkde1dequi_jitterkde1dpkde1dqkde1drkde1d
Dependencies:BHrandtoolboxRcppRcppEigenrngWELL
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| One-Dimensional Kernel Density Estimation | kde1d-package |
| Working with a kde1d object | dkde1d pkde1d pkde1d, qkde1d qkde1d, rkde1d |
| Conditionally equidistant jittering | equi_jitter |
| Univariate local-polynomial likelihood kernel density estimation | kde1d |
| Plotting kde1d objects | lines.kde1d plot.kde1d |
