MSclassifier classifies instances using median-supplement methods. It derives median-supplement data from a set of instances and then infer a Naive Bayes/Random Forest classifier. The resulting model predicts classes of new instances of samples.
The package can be installed via the R Console or the command line of a terminal.
1. Click here to download the MSclassifier package.
2. Extract the compressed downloaded file. In a linux terminal, this can be done with the line:
3. Set your working directory to the path that contains the uncompressed folder.
4. To install via the R console, start R and run the following commands:
library(devtools) # Ensure devtools is installed in the R package install("MSclassifier")
Alternative to step 4, the package can be installed via the command line of linux using:
R CMD INSTALL './MSclassifier'
|Description:||MSclassifier classifies instances of receptor status phenotypes using median-supplement methods. It is also applicable to supervised learning problems involving two labels.|
|Depends:||R (>= 3.3.3)|
|Imports:||e1071, randomForest (>= 4.6-12)|