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:Mark A. Wolters [aut, cre]

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)

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3 exports 0.00 score 2 dependencies 10 scripts 120 downloads

Last updated 21 days agofrom:a097c08cd2. Checks:OK: 2. Indexed: yes.

Exports:improvescdensitySequentialLineMin

Dependencies:lpSolvequadprog