package doMC NOT available for R version 3.0.0 warning in install.packages

Question

For some packages like doMC & doSMP, i get the warning & inability to library(doMC). As shown below, i have no problem with subselect thus no file/directory permission issue. Also tried repo=http://cran.us.r-project.org & others, no luck. please advise.

ps: for the unexpected Japanese characters, i have no clue; i assume that is a separable issue; no response yet from support.rstudio.org/help/discussions/problems/6009-japanese-characters-show-unexpectedly

> install.packages('doMC')
Warning in install.packages :
  package 租oMC・is not available (for R version 3.0.0)
Installing package into 舛:/Users/YULE/Documents/R/win-library/3.0・(as 鼠ib・is unspecified)
Warning in install.packages :
  package 租oMC・is not available (for R version 3.0.0)
> install.packages('subselect')
Installing package into 舛:/Users/YULE/Documents/R/win-library/3.0・(as 鼠ib・is unspecified)
trying URL 'http://cran.rstudio.com/bin/windows/contrib/3.0/subselect_0.12-2.zip'
Content type 'application/zip' length 1295653 bytes (1.2 Mb)
opened URL
downloaded 1.2 Mb

package 壮ubselect・successfully unpacked and MD5 sums checked

The downloaded binary packages are in
    C:\Users\YULE\AppData\Local\Temp\Rtmp6DK5mn\downloaded_packages
> library(subselect)
---------------------------------------------------------------------------------
> sessionInfo()
R version 3.0.0 (2013-04-03)
Platform: x86_64-w64-mingw32/x64 (64-bit)

locale:
[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252   
[3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C                          
[5] LC_TIME=English_United States.1252    

attached base packages:
[1] graphics  grDevices datasets  stats     utils     methods   base     

other attached packages:
[1] subselect_0.12-2 XML_3.96-1.1     colorspace_1.2-2 RGtk2_2.20.25    rattle_2.6.26   

loaded via a namespace (and not attached):
[1] tools_3.0.0

Answer 1

I assume it's not available to you because you're using Windows. The doMC package has never been available on Windows because it depends on the mclapply function, before in the multicore package and now in parallel. I haven't heard of any issues with doMC in R 3.0.0.

The doSMP package was intended to be the Windows alternative to doMC. I believe it was eventually taken off CRAN because of problems building it on newer versions of GCC.

The doParallel and doSNOW packages are probably the most popular foreach backends available for Windows.

Answer 2

If you want to install it for windows, here it how you can:

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

I did it for R 3.2.3 version and it works well.

As Erdogan mentioned, it works for R 4.x.x versions as well.

Answer 3

I was facing the same issue with RTextTools, as RTextTools is now not available on CRAN. I have Download RTextTools From Given Link


https://cran.r-project.org/src/contrib/Archive/RTextTools/

and copy RTextTools_1.4.2.tar.gz file in project root folder then run this command in project folder in terminal

"R CMD INSTALL RTextTools_1.4.2.tar.gz" After running this command I receive below error "ERROR: dependencies ‘SparseM’, ‘randomForest’, ‘tree’, ‘e1071’, ‘ipred’, ‘caTools’, ‘maxent’, ‘glmnet’, ‘tau’ are not available for package ‘RTextTools’" Now install each dependencies from RStudio or RConsole (Any Editor used by you) by simply running this code

install.packages("caTools")

Install all 9 required packages One By One (In My Case it was 9 Packages Dependencies required by RTextTools) all packages will be installed except 'maxent'

Now download maxent from the given link

https://cran.r-project.org/src/contrib/Archive/maxent/

and copy maxent_1.3.3.1.tar file in project folder then run this command in project folder in terminal

"R CMD INSTALL maxent_1.3.3.1.tar"

Now For RTextTools Run this command again in Terminal

"R CMD INSTALL RTextTools_1.4.2.tar.gz"

All is done Now.. But the Last Step is Load the RTextTools using

library(RTextTools)

You will see one more Error: Load SparseM Now Loading SparseM use code below library(SparseM) and in the last Load RTextTools library(RTextTools)