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 + file LICENSE |
URL: | https://tsuchiya-lab.github.io/dsdp/ |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | dsdp results |
Reference manual: | dsdp.pdf |
Vignettes: |
Tutorial |
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 |
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