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.

MIMOSA

Mixture Models for Single-Cell Assays

Bioconductor version: Release (3.4)

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")

PDF	R Script	MIMOSA: Mixture Models For Single Cell Assays
PDF		Reference Manual
Text		NEWS

biocViews	CellBasedAssays, FlowCytometry, Software
Version	1.12.0
In Bioconductor since	BioC 2.14 (R-3.1) (3 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_1.12.0.tar.gz
Windows Binary	MIMOSA_1.12.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks)	MIMOSA_1.12.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/MIMOSA/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/MIMOSA/
Package Downloads Report	Download Stats

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