RcppArmadillo 0.3.0 is now on CRAN

Conrad Sanderson has released a new major version 3.0.0 of his excellent Armadillo C++ template library for linear algebra. A corresponding new release 0.3.0 of RcppArmadillo is now on CRAN. This follows four pre-releases of Armadillo which we packaged as before, but for reasons detailed in another post did not send to CRAN.

All that said, here are the NEWS entries for all release since the last non-test release:

0.3.0   2012-04-10

    o   Upgraded to Armadillo release 3.0.0 "Antarctic Chilli Ranch"

          * added non-contiguous submatrix views
          * added shorthand for inverse: .i()
          * added hist() and histc()
          * faster repmat()
          * faster handling of submatrix views with one row or column 
          * faster generation of random numbers
          * faster element access in fixed size matrices
          * better detection of vector expressions by sum(), cumsum(),
            prod(), min(), max(), mean(), median(), stddev(), var() 
          * expressions X=A.i()*B and X=inv(A)*B are automatically converted
            to X=solve(A,B) 

0.2.40  2012-04-04

    o   Upgraded to Armadillo release 2.99.4 "Antarctic Chilli Ranch (Beta 4)"

          * fixes for handling expressions with fixed size matrices

0.2.39  2012-04-02

    o   Upgraded to Armadillo release 2.99.3 "Antarctic Chilli Ranch (Beta 3)"

          * faster repmat()
          * workarounds for braindead compilers (eg. Visual Studio)

0.2.38  2012-03-28

    o   Upgraded to Armadillo release 2.99.2 "Antarctic Chilli Ranch (Beta 2)"

          * added .i()
          * much faster handling of .col() and .row()
          * expressions X=A.i()*B and X=inv(A)*B are automatically converted
            to X=solve(A,B) 

0.2.37  2012-03-19

    o   Upgraded to Armadillo release 2.99.1 "Antarctic Chilli Ranch (Beta 1)"

          * added non-contiguous submatrix views
          * added hist() and histc()
          * faster handling of submatrix views
          * faster generation of random numbers
          * faster element access in fixed size matrices
          * better detection of vector expressions by sum(), cumsum(),
            prod(), min(), max(), mean(), median(), stddev(), var() 

Courtesy of CRANberries, there is also a diffstat report for 0.3.0 relative to 0.2.36 As always, more detailed information is on the RcppArmadillo page. Questions, comments etc should go to the rcpp-devel mailing list off the R-Forge page.