Package: BASiCStan 1.9.0

Alan OCallaghan

BASiCStan: Stan implementation of BASiCS

Provides an interface to infer the parameters of BASiCS using the variational inference (ADVI), Markov chain Monte Carlo (NUTS), and maximum a posteriori (BFGS) inference engines in the Stan programming language. BASiCS is a Bayesian hierarchical model that uses an adaptive Metropolis within Gibbs sampling scheme. Alternative inference methods provided by Stan may be preferable in some situations, for example for particularly large data or posterior distributions with difficult geometries.

Authors:Alan O'Callaghan [aut, cre], Catalina Vallejos [aut]

BASiCStan_1.9.0.tar.gz
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BASiCStan.pdf |BASiCStan.html✨
BASiCStan/json (API)
NEWS

# Install 'BASiCStan' in R:

install.packages('BASiCStan', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/alanocallaghan/basicstan/issues

Uses libs:

c++– GNU Standard C++ Library v3

On BioConductor:BASiCStan-1.7.0(bioc 3.20)BASiCStan-1.6.0(bioc 3.19)

immunooncology normalization sequencing rnaseq software geneexpression transcriptomics singlecell differentialexpression bayesian cellbiology single-cell-rna-seq

4.08 score 1 scripts 189 downloads 2 exports 153 dependencies

Last updated 25 days agofrom:a0718736d1. Checks:OK: 1 NOTE: 8. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 30 2024
R-4.5-win-x86_64	NOTE	Oct 30 2024
R-4.5-linux-x86_64	NOTE	Oct 30 2024
R-4.4-win-x86_64	NOTE	Oct 30 2024
R-4.4-mac-x86_64	NOTE	Oct 30 2024
R-4.4-mac-aarch64	NOTE	Oct 30 2024
R-4.3-win-x86_64	NOTE	Oct 30 2024
R-4.3-mac-x86_64	NOTE	Oct 30 2024
R-4.3-mac-aarch64	NOTE	Oct 30 2024