Package: dsdp 0.1.1
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/>.
Authors:
dsdp_0.1.1.tar.gz
dsdp_0.1.1.tar.gz(r-4.5-noble)dsdp_0.1.1.tar.gz(r-4.4-noble)
dsdp_0.1.1.tgz(r-4.4-emscripten)dsdp_0.1.1.tgz(r-4.3-emscripten)
dsdp.pdf |dsdp.html✨
dsdp/json (API)
NEWS
# Install 'dsdp' in R: |
install.packages('dsdp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tsuchiya-lab/dsdp/issues
Pkgdown:https://tsuchiya-lab.github.io
- mix2gauss - Datasets of Mixture of 2 Gaussian Distributions
- mix2gaussHist - Dataset of Mixture of 2 Gaussian Distributions: Histogram version
- mix3gauss - Datasets of Mixture of 3 Gaussian Distributions
- mixExpGammaHist - Dataset of Mixture of Exponential Distribution and Gamma Distribution: Histogram Version
- mixexpgamma - Dataset of Mixture of Exponential Distribution and Gamma Distribution
Last updated 2 years agofrom:53f709d862. Checks:OK: 1 WARNING: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 24 2024 |
R-4.5-linux-x86_64 | WARNING | Nov 24 2024 |
Exports:cdf_expmodelcdf_gaussmodeldatabinningdatastatsestimateeval_polyexp_estexpmodelfuncgauss_estgaussmodelhistmeanigammaigammacmix2gauss_funmix2gauss_genmix3gauss_funmix3gauss_genmixexpgamma_funmixexpgamma_genpdf_expmodelpdf_gaussmodelpolyaxbprintf
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr