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scdensity  

Shape-Constrained Kernel Density Estimation
View on CRAN: Click here


Download and install scdensity package within the R console
Install from CRAN:
install.packages("scdensity")

Install from Github:
library("remotes")
install_github("cran/scdensity")

Install by package version:
library("remotes")
install_version("scdensity", "1.0.3")



Attach the package and use:
library("scdensity")
Maintained by
Mark A. Wolters
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-30
Latest Update: 2018-01-30
Description:
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) , Wolters (2012) , and Hall and Huang (2002) . See the scdensity() help for for full citations.
How to cite:
Mark A. Wolters (2018). scdensity: Shape-Constrained Kernel Density Estimation. R package version 1.0.3, https://cran.r-project.org/web/packages/scdensity. Accessed 07 Nov. 2024.
Previous versions and publish date:
1.0.2 (2018-01-30 11:52)
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