- recipe bioconductor-basicstan
Stan implementation of BASiCS
- Homepage:
https://bioconductor.org/packages/3.16/bioc/html/BASiCStan.html
- License:
GPL-3
- Recipe:
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.
- package bioconductor-basicstan¶
-
- Versions:
1.0.0-0
- Depends:
bioconductor-basics
>=2.10.0,<2.11.0
bioconductor-glmgampoi
>=1.10.0,<1.11.0
bioconductor-scran
>=1.26.0,<1.27.0
bioconductor-scuttle
>=1.8.0,<1.9.0
bioconductor-singlecellexperiment
>=1.20.0,<1.21.0
bioconductor-summarizedexperiment
>=1.28.0,<1.29.0
libblas
>=3.9.0,<4.0a0
libgcc-ng
>=12
liblapack
>=3.9.0,<4.0a0
libstdcxx-ng
>=12
r-base
>=4.2,<4.3.0a0
r-bh
>=1.66.0
r-rcpp
>=0.12.0
r-rcppeigen
>=0.3.3.3.0
r-rcppparallel
>=5.0.1
r-rstan
>=2.18.1
r-rstantools
>=2.1.1
r-stanheaders
>=2.18.0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-basicstan
and update with:
conda update bioconductor-basicstan
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-basicstan:<tag>
(see bioconductor-basicstan/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-basicstan/README.html)