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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("MCRestimate")
In most cases, you don't need to download the package archive at all.
MCRestimate
Misclassification error estimation with cross-validation
Bioconductor version: 3.0
This package includes a function for combining preprocessing and classification methods to calculate misclassification errors
Author: Marc Johannes, Markus Ruschhaupt, Holger Froehlich, Ulrich Mansmann, Andreas Buness, Patrick Warnat, Wolfgang Huber, Axel Benner, Tim Beissbarth
Maintainer: Marc Johannes <m.johannes at dkfz.de>
Citation (from within R,
enter citation("MCRestimate")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("MCRestimate")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MCRestimate")
| R Script | HOW TO use MCRestimate | |
| Reference Manual |
Details
| biocViews | Classification, Software |
| Version | 2.22.0 |
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier |
| License | GPL (>= 2) |
| Depends | R (>= 2.7.2), golubEsets(>= 1.4.6) |
| Imports | e1071 (>= 1.5-12), pamr (>= 1.22), randomForest (>= 3.9-6), RColorBrewer (>= 0.1-3), Biobase(>= 2.5.5), graphics, grDevices, stats, utils |
| LinkingTo | |
| Suggests | xtable (>= 1.2-1), ROC(>= 1.8.0), genefilter(>= 1.12.0), gpls(>= 1.6.0) |
| 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 | MCRestimate_2.22.0.tar.gz |
| Windows Binary | MCRestimate_2.22.0.zip |
| Mac OS X 10.6 (Snow Leopard) | MCRestimate_2.22.0.tgz |
| Mac OS X 10.9 (Mavericks) | MCRestimate_2.22.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
- RNA-Seq workflow: gene-level exploratory analysis and differential expression
- Changing genomic coordinate systems with rtracklayer::liftOver
- Mass spectrometry and proteomics data analysis
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