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BASiCStan

This is the development version of BASiCStan; for the stable release version, see BASiCStan.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16

Stan implementation of BASiCS


Bioconductor version: Development (3.24)

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.

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

Maintainer: Alan O'Callaghan <alan.ocallaghan at outlook.com>

Citation (from within R, enter citation("BASiCStan")):

Alan O'Callaghan, Catalina Vallejos. BASiCStan: Stan implementation of BASiCS. doi:10.18129/B9.bioc.BASiCStan, R package version 1.15.1, https://bioconductor.org/packages/BASiCStan.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("BASiCStan")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("BASiCStan")
An introduction to BASiCStan HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews Bayesian, CellBiology, DifferentialExpression, GeneExpression, ImmunoOncology, Normalization, RNASeq, Sequencing, SingleCell, Software, Transcriptomics
Version1.15.1
In Bioconductor sinceBioC 3.16 (R-4.2) (4 years)
License GPL-3
Depends R (>= 4.2), BASiCS, rstan (>= 2.18.1)
Imports methods, glmGamPoi, scran, scuttle, stats, utils, SingleCellExperiment, SummarizedExperiment, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstantools (>= 2.1.1)
System RequirementsGNU make
URLhttps://github.com/Alanocallaghan/BASiCStan
Bug Reportshttps://github.com/Alanocallaghan/BASiCStan/issues
See More
Suggests testthat (>= 3.0.0), knitr, rmarkdown
Linking To BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
Enhances
Depends On Me
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Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package BASiCStan_1.15.1.tar.gz
Windows Binary (x86_64) BASiCStan_1.15.1.zip (64-bit only)
macOS Binary (big-sur-x86_64) BASiCStan_1.15.1.tgz
macOS Binary (sonoma-arm64) BASiCStan_1.15.1.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/BASiCStan
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/BASiCStan
Package Short Url https://bioconductor.org/packages/BASiCStan/
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