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dppmix  

Determinantal Point Process Mixture Models
View on CRAN: Click here


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

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

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



Attach the package and use:
library("dppmix")
Maintained by
David J. H. Shih
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-14
Latest Update: 2020-01-14
Description:
Multivariate Gaussian mixture model with a determinant point process prior to promote the discovery of parsimonious components from observed data. See Xu, Mueller, Telesca (2016) .
How to cite:
David J. H. Shih (2020). dppmix: Determinantal Point Process Mixture Models. R package version 0.1.1, https://cran.r-project.org/web/packages/dppmix. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:33), 0.1.1 (2020-01-14 11:00)
Other packages that cited dppmix R package
View dppmix citation profile
Other R packages that dppmix depends, imports, suggests or enhances
Complete documentation for dppmix
Functions, R codes and Examples using the dppmix R package
Some associated functions: dgammapois . dppmix_mvnorm . estimate . rbern . rbvec . rdirichlet . rmvnorm_clusters . 
Some associated R codes: covariance.R . distribs.R . dppmix_mvnorm.R . estimate.R . methods.R . simulate.R .  Full dppmix package functions and examples
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