Package: SANple 0.1.1

Francesco Denti

SANple: Fitting Shared Atoms Nested Models via Markov Chains Monte Carlo

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) <doi:10.1080/01621459.2021.1933499>, D’Angelo, Canale, Yu, Guindani (2023) <doi:10.1111/biom.13626>.

Authors:Francesco Denti [aut, cre], Laura D'Angelo [aut, cph]

SANple_0.1.1.tar.gz
SANple_0.1.1.tar.gz(r-4.5-noble)SANple_0.1.1.tar.gz(r-4.4-noble)
SANple_0.1.1.tgz(r-4.4-emscripten)SANple_0.1.1.tgz(r-4.3-emscripten)
SANple.pdf |SANple.html
SANple/json (API)
NEWS

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

Bug tracker:https://github.com/laura-dangelo/sanple/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

cppopenmp

1.70 score 563 downloads 7 exports 16 dependencies

Last updated 9 months agofrom:bf4a4adeb8. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 28 2025
R-4.5-linux-x86_64OKFeb 28 2025

Exports:estimate_clusterssample_CAMsample_fiSANsample_fiSAN_sparsemixsample_fSANsample_fSAN_sparsemixtraceplot

Dependencies:clicolorspacefarvergluelabelinglifecyclemunsellR6RColorBrewerRcppRcppArmadilloRcppProgressrlangsalsoscalesviridisLite