#
#
##################### Install the packages listed at R_SC. #####################
#
### Note: dprep is no longer supported and thus not available.
#
### First, select a mirror. 
# Click 'Packages' then 'Set CRAN mirror...' and choose the site closest to you.
### Then run the following script; all dependencies will be installed as well. 

install.packages(c("foreign", "Rcmdr", "car", "Hmisc", "mix", "mvnmle", "MBESS", "MASS",
 "psych", "relaimpo", "boot", "mvoutlier", "robust", "robustbase", "leaps", "chemometrics",
 "sem", "VIM", "Amelia", "latticist", "lmtest", "polycor", "nls2", "locfit", "tseries",
 "sm", "homals", "mlogit", "ca", "bootStepAIC", "BMA", "lavaan", "RcmdrPlugin.epack",
 "GPArotation", "simpleR", "SeqKnn", "rrcovNA", "lme4", "prettyR", "multilevel", "arm",
 "MCMCpack", "coda", "scatterplot3d", "gvlma", "lmSupport", "mvtnorm", "LearnBayes",
 "MatchIt", "norm", "DAAG", "Design", "plspm", "semPLS", "perturb", "fortunes",
 "RColorBrewer", "quantmod", "rrp", "fdrtool", "BayesFactor", "yhat", "yacca"))

# Note: some of the packages listed above are no longer available at CRAN; this 
# can occur for a variety of reasons: 1.) the package author(s) no longer 
# maintain the package -- keeping it up-to-date with new versions of R; 2.) 
# the package is maintained at a repository other than CRAN (e.g., R-Forge); 
# 3.) the package has been replaced by a newer package which has a different 
# name (but does all the things the old package did).  

# The 'Design' package is obsolete and has been replaced by the 'rms' 
# package:

install.packages("rms")

# Some of the packages listed above can be downloaded / installed from 
# R-Forge and other places.

# https://r-forge.r-project.org/R/?group_id=1480

install.packages("rrp", repos="http://R-Forge.R-project.org")

# http://r-forge.r-project.org/R/?group_id=468

install.packages("WRS", repos="http://R-Forge.R-project.org")

# Another repository which has some useful packages is Bioconductor. 

source("http://bioconductor.org/biocLite.R")
biocLite("multtest")

# Lastly, the SeqKNN (Sequential k - Nearest Neighbor imputation) package 
# can be downloaded from us; simply download the file and then 
# un-zip (un-compress) into your 'library' directory inside your R installation. 
# Simply copy and past the following URL into your browser to download the file. 
# http://www.unt.edu/rss/class/Jon/MiscDocs/SeqKnn.zip



# End; March 5, 2013.