To install this package, start R and enter:

## try http if https is not available
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 (3.1)

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")):

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("MIMOSA")

Documentation

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

Details

biocViews CellBasedAssays, FlowCytometry, Software
Version 1.6.0
In Bioconductor since BioC 2.14 (R-3.1) (1.5 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  

Package Archives

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

Package Source MIMOSA_1.6.0.tar.gz
Windows Binary MIMOSA_1.6.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) MIMOSA_1.6.0.tgz
Mac OS X 10.9 (Mavericks) MIMOSA_1.6.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/MIMOSA/tree/release-3.1
Package Short Url http://bioconductor.org/packages/MIMOSA/
Package Downloads Report Download Stats

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