Package: scdensity 1.0.3
Mark A. Wolters
scdensity: Shape-Constrained Kernel Density Estimation
Implements methods for obtaining kernel density estimates subject to a variety of shape constraints (unimodality, bimodality, symmetry, tail monotonicity, bounds, and constraints on the number of inflection points). Enforcing constraints can eliminate unwanted waves or kinks in the estimate, which improves its subjective appearance and can also improve statistical performance. The main function scdensity() is very similar to the density() function in 'stats', allowing shape-restricted estimates to be obtained with little effort. The methods implemented in this package are described in Wolters and Braun (2017) <doi:10.1080/03610918.2017.1288247>, Wolters (2012) <doi:10.18637/jss.v047.i06>, and Hall and Huang (2002) <https://www3.stat.sinica.edu.tw/statistica/j12n4/j12n41/j12n41.htm>. See the scdensity() help for for full citations.
Authors:
scdensity_1.0.3.tar.gz
scdensity_1.0.3.tar.gz(r-4.5-noble)scdensity_1.0.3.tar.gz(r-4.4-noble)
scdensity_1.0.3.tgz(r-4.4-emscripten)scdensity_1.0.3.tgz(r-4.3-emscripten)
scdensity.pdf |scdensity.html✨
scdensity/json (API)
| # Install 'scdensity' in R: |
| install.packages('scdensity', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:a097c08cd2. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 27 2024 |
| R-4.5-linux | OK | Oct 27 2024 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Move points closer to a target while maintaining a constraint. | improve |
| Plot method for class 'scdensity'. | plot.scdensity |
| Print method for class 'scdensity'. | print.scdensity |
| Prints the information in a 'summary.scdensity' object to the console. | print.summary.scdensity |
| Shape-constrained kernel density estimation. | density scdensity |
| Minimize a function of r variables by sequential univariate searches. | SequentialLineMin |
| Summary method for class 'scdensity'. | summary.scdensity |