Package: dsdp 0.1.1

Satoshi Kakihara

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:Satoshi Kakihara [aut, cre], Takashi Tsuchiya [aut]

dsdp_0.1.1.tar.gz
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dsdp.pdf |dsdp.html✨
dsdp/json (API)
NEWS

# Install 'dsdp' in R:
install.packages('dsdp', repos = c('https://tsuchiya-lab.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/tsuchiya-lab/dsdp/issues

Uses libs:
  • openblas– Optimized BLAS
  • fortran– Runtime library for GNU Fortran applications
Datasets:
  • 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

On CRAN:

density-estimationsemidefinite-programming

24 exports 0.62 score 28 dependencies 2 scripts 173 downloads

Last updated 1 years agofrom:82d2dc9942. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-win-x86_64OKAug 20 2024
R-4.5-linux-x86_64OKAug 20 2024
R-4.4-win-x86_64OKAug 20 2024
R-4.4-mac-x86_64OKAug 20 2024
R-4.4-mac-aarch64OKAug 20 2024
R-4.3-win-x86_64OKAug 20 2024
R-4.3-mac-x86_64OKAug 20 2024
R-4.3-mac-aarch64OKAug 20 2024

Exports:cdf_expmodelcdf_gaussmodeldatabinningdatastatsestimateeval_polyexp_estexpmodelfuncgauss_estgaussmodelhistmeanigammaigammacmix2gauss_funmix2gauss_genmix3gauss_funmix3gauss_genmixexpgamma_funmixexpgamma_genpdf_expmodelpdf_gaussmodelpolyaxbprintf

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

A Tutorial for dsdp

Satoshi Kakihara^[National Graduate Institute for Policy Studies, [email protected]], Takashi Tsuchiya^[National Graduate Institute for Policy Studies, [email protected]]

Rendered fromTutorial.Rmdusingknitr::rmarkdownon Aug 20 2024.

Last update: 2022-12-14
Started: 2022-11-02

Readme and manuals

Help Manual

Help pageTopics
Cumulative distribution function of Expomemtial-based modelcdf_expmodel
Cumulative distribution function of Gaussian-based modelcdf_gaussmodel
Reduce a data set to representatives of bins and their frequenciesdatabinning
Compute the mean and the standard deviation of a data setdatastats
dsdp: Density Estimation using Semidefinite Programmingdsdp
Generic Method for estimationestimate
Estimate Exponential-based model 'expmodel'estimate.expmodel
Estimate Gaussian-based model 'gaussmodel'estimate.gaussmodel
Evaluate a polynomialeval_poly
Estimate coefficients of a polynomial in Exponential-based Modelexp_est
Constructor for S3 class 'expmodel'expmodel
Generic Method for evaluate the estimatefunc
Return the evaluation of a vector with Exponential-based modelfunc.expmodel
Return the evaluation of a vector with Gaussian-based modelfunc.gaussmodel
Estimate coefficients of a polynomial in Gaussian-based modelgauss_est
Constructor for S3 class 'gaussmodel'gaussmodel
Compute the mean of a data sethistmean
Incomplete Gamma Functionigamma
Complementary Incomplete Gamma Functionigammac
Datasets of Mixture of 2 Gaussian Distributionsmix2gauss
A density function of mixed Gaussian distributionsmix2gauss_fun
Generate mixed Gaussian random numbersmix2gauss_gen
Dataset of Mixture of 2 Gaussian Distributions: Histogram versionmix2gaussHist
Datasets of Mixture of 3 Gaussian Distributionsmix3gauss
A density function of mixed gaussian distributionmix3gauss_fun
Generate Mixed Gaussian Random Numbersmix3gauss_gen
Dataset of Mixture of Exponential Distribution and Gamma Distributionmixexpgamma
A density function of Mixed Exponential and Gamma Distributionsmixexpgamma_fun
Generate random numbers of Mixed Exponential and Gamma Distributionsmixexpgamma_gen
Dataset of Mixture of Exponential Distribution and Gamma Distribution: Histogram VersionmixExpGammaHist
Probability density function of Exponential-based modelpdf_expmodel
Probability density function of Gaussian-based modelpdf_gaussmodel
Plot a histogram and estimated densities/distributions of Exponential-based model objectplot.expmodel
Plot a histogram and estimated densities/distributions of Gaussian-based model objectplot.gaussmodel
Substitute a coefficient of polynomialpolyaxb
printfprintf
Summary of Exponential-based 'expmodel' object.summary.expmodel
Summary of Gaussian-based model 'gaussmodel' objectsummary.gaussmodel