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dsdp: Density Estimation with Semidefinite Programming

The models of probability density functions are Gaussian or exponential distributions with polynomial correction terms. Using a maximum likelihood method, 'dsdp' computes parameters of Gaussian or exponential distributions together with degrees of polynomials by a grid search, and coefficient of polynomials by a variant of semidefinite programming. It adopts Akaike Information Criterion for model selection. See a vignette for a tutorial and more on our 'Github' repository <https://github.com/tsuchiya-lab/dsdp/>.

Version:0.1.1
Depends:R (≥ 2.10)
Imports:ggplot2,rlang, stats
Suggests:rmarkdown,knitr
Published:2023-02-11
DOI:10.32614/CRAN.package.dsdp
Author:Satoshi Kakihara [aut, cre], Takashi Tsuchiya [aut]
Maintainer:Satoshi Kakihara <skakihara at gmail.com>
BugReports:https://github.com/tsuchiya-lab/dsdp/issues
License:MIT + fileLICENSE
URL:https://tsuchiya-lab.github.io/dsdp/
NeedsCompilation:yes
Materials:README,NEWS
CRAN checks:dsdp results

Documentation:

Reference manual:dsdp.html ,dsdp.pdf
Vignettes:Tutorial (source,R code)

Downloads:

Package source: dsdp_0.1.1.tar.gz
Windows binaries: r-devel:dsdp_0.1.1.zip, r-release:dsdp_0.1.1.zip, r-oldrel:dsdp_0.1.1.zip
macOS binaries: r-release (arm64):dsdp_0.1.1.tgz, r-oldrel (arm64):dsdp_0.1.1.tgz, r-release (x86_64):dsdp_0.1.1.tgz, r-oldrel (x86_64):dsdp_0.1.1.tgz
Old sources: dsdp archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=dsdpto link to this page.


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