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SANple  

Fitting Shared Atoms Nested Models via Markov Chains Monte Carlo
View on CRAN: Click here


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

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

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



Attach the package and use:
library("SANple")
Maintained by
Francesco Denti
[Scholar Profile | Author Map]
First Published: 2023-10-10
Latest Update: 2023-10-10
Description:
Estimate Bayesian nested mixture models via Markov Chain Monte Carlo methods. Specifically, the package implements the common atoms model (Denti et al., 2023), its finite version (D'Angelo et al., 2023), and a hybrid finite-infinite model. All models use Gaussian mixtures with a normal-inverse-gamma prior distribution on the parameters. Additional functions are provided to help analyzing the results of the fitting procedure. References: Denti, Camerlenghi, Guindani, Mira (2023) , D
How to cite:
Francesco Denti (2023). SANple: Fitting Shared Atoms Nested Models via Markov Chains Monte Carlo. R package version 0.1.1, https://cran.r-project.org/web/packages/SANple. Accessed 23 Feb. 2025.
Previous versions and publish date:
0.1.0 (2023-10-10 19:20)
Other packages that cited SANple R package
View SANple citation profile
Other R packages that SANple depends, imports, suggests or enhances
Complete documentation for SANple
Functions, R codes and Examples using the SANple R package
Full SANple package functions and examples
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