Package: hddplot
Type: Package
Title: Use Known Groups in High-Dimensional Data to Derive Scores for
        Plots
Version: 0.57-5
Date: 2017-09-03
Author: John Maindonald
Maintainer: John Maindonald <jhmaindonald@gmail.com>
VignetteBuilder: knitr
Description: Cross-validated linear discriminant calculations determine
  the optimum number of features. Test and training scores from
  successive cross-validation steps determine, via a principal
  components calculation, a low-dimensional global space onto which test
  scores are projected, in order to plot them. Further functions are
  included that are intended for didactic use. The  package implements,
  and extends, methods described in J.H. Maindonald and C.J. Burden (2005)
  <https://journal.austms.org.au/V46/CTAC2004/Main/home.html>.
LazyLoad: true
LazyData: true
Depends: R (>= 3.0.0)
Imports: MASS, multtest
Suggests: knitr
ZipData: yes
License: GPL (>= 2)
URL: http://maths-people.anu.edu.au/~johnm/
Repository: CRAN
NeedsCompilation: no
Packaged: 2017-09-03 08:17:52 UTC; johnm1
Date/Publication: 2017-09-03 11:31:27 UTC
Built: R 3.2.5; ; 2017-09-04 09:34:56 UTC; unix
