Alanocallaghan/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.
Getting started
Browse package contents
Package details |
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| Bioconductor views | Bayesian CellBiology DifferentialExpression GeneExpression ImmunoOncology Normalization RNASeq Sequencing SingleCell Software Transcriptomics |
| Maintainer | |
| License | GPL-3 |
| Version | 1.5.1 |
| URL | https://github.com/Alanocallaghan/BASiCStan |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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