To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("MIMOSA")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.2
Modeling count data using Dirichlet-multinomial and beta-binomial mixtures with applications to single-cell assays.
Author: Greg Finak <gfinak at fhcrc.org>
Maintainer: Greg Finak <gfinak at fhcrc.org>
Citation (from within R,
enter citation("MIMOSA")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("MIMOSA")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MIMOSA")
MIMOSA: Mixture Models For Single Cell Assays | ||
Reference Manual | ||
Text | NEWS |
biocViews | CellBasedAssays, FlowCytometry, Software |
Version | 1.8.1 |
In Bioconductor since | BioC 2.14 (R-3.1) (2 years) |
License | Artistic-2.0 |
Depends | R (>= 3.0.2), MASS, plyr, reshape, Biobase, ggplot2 |
Imports | methods, Formula, data.table, pracma, MCMCpack, coda, modeest, testthat, Rcpp, scales, Kmisc |
LinkingTo | Rcpp, RcppArmadillo |
Suggests | parallel, knitr |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | MIMOSA_1.8.1.tar.gz |
Windows Binary | MIMOSA_1.8.1.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | MIMOSA_1.8.0.tgz |
Mac OS X 10.9 (Mavericks) | MIMOSA_1.8.1.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/MIMOSA/tree/release-3.2 |
Package Short Url | http://bioconductor.org/packages/MIMOSA/ |
Package Downloads Report | Download Stats |
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