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dsdp  

Density Estimation with Semidefinite Programming
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("dsdp", "0.1.1")



Attach the package and use:
library("dsdp")
Maintained by
Satoshi Kakihara
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-12-05
Latest Update: 2023-02-11
Description:
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 .
How to cite:
Satoshi Kakihara (2022). dsdp: Density Estimation with Semidefinite Programming. R package version 0.1.1, https://cran.r-project.org/web/packages/dsdp. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2022-12-05 11:30)
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