GALGO

GALGO IS NOW ON CRAN. So, you should be able to install it via install.packages("galgo")

Thanks for all galgo users. We have considered all e-mails and requests to provide a version of Galgo for R 3. The new version of R 3 is a major revision, so galgo was also revised to be able to run smoothely in R 3.

Changes in Galgo 1.5:

• Small fixes to run on R >= 4.1.1

Changes in Galgo 1.4:

• Small fixes to run on R 3.3.3

Changes in Galgo 1.3:

• Small fix of compiling sources

Changes in Galgo 1.2:

• No major changes to original functionality.
• Minor Bugs corrected.
• Adaptations for R 3 was needed. All internal classifiers are now using "R" or "C", for example, knn_R_predict or mlhd_C_predict and so on for svm, nascent, knit, repeat, random forest (rainforest), etc. This has no effect on most users.
• Galgo 1.2 should be now available in CRAN soon (it was submitted on 25/March/2014). This will allow installations using the standard install.packages("galgo") in the command line. We still provide sources here.

Galgo source is available on the links below.

MANUAL INSTALLATION OF THE SOURCE PACKAGE (updated to 1.3)

On Windows:

• You may need Rtools for this. see http://cran.r-project.org/bin/windows/
• Install needed packages in R. Open R and type: install.packages(c("R.oo", "MASS", "class", "e1071", "rpart", "nnet", "randomForest"))
• Download galgo_1.x.tar.gz file.
• Open the CMD terminal program.
• cd to the folder where your compressed galgo file is.
• Make sure R is under your PATH. Type: echo %PATH%. If yes, jump to 8.
• Add R to your path (adapt your version and location), type: SET PATH=%PATH%;C:\Program Files\R\R-3.0.2\bin;
• type: R CMD INSTALL galgo_1.x.tar.gz
• Run R and type "library(galgo)". It should now work.

On Mac OS X:

• Install needed packages in R. Open R and type: install.packages(c("R.oo", "MASS", "class", "e1071", "rpart", "nnet", "randomForest"))
• Download galgo_1.x.tar.gz file.
• In R, Select option "Package Installer" from "Packages & Data" menu.
• Select "local source package" in the "Packages Repository"
• Click on "Install" button.
• Select galgo_1.x.tar.gz from the download location.
• type "library(galgo)". It should now work.

On Linux:

• Install needed packages in R. Open R and type: install.packages(c("R.oo", "MASS", "class", "e1071", "rpart", "nnet", "randomForest"))
• Download galgo_1.x.tar.gz file.
• Open a terminal.
• cd to the folder where your compressed galgo file is.
• type: R CMD INSTALL galgo_1.x.tar.gz
• Run R and type "library(galgo)". It should now work.