Explicitly uses current value of
mclust.options("hcUse") for initializing the EM iterative
estimation process.
Fixed anchors in Rd \link{} targets that were not
within the package, addressing CRAN requirements.
clustvarsel 2.3.4 (2020-12)
Bug fixes and polish.
clustvarsel 2.3.3 (2018-11)
Added the final estimated model to the clustvarsel
object.
Solved a bug that stop execution in the greedy-backward search when
no variables could be removed.
clustvarsel 2.3.2 (2018-04)
Package version accompanying JSS paper.
Bug fixes in the extreme case no clustering variable is selected
using the greedy forward/backward search.
clustvarsel 2.3.1 (2017-06)
Fix bug on a if executed with a condition that has
length greater than 1.
clustvarsel 2.3 (2017-01)
Add optional argument verbose to
clustvarsel() for printing steps info during the
search.
New print method for clustvarsel objects.
A parallel cluster is automatically stopped unless a registered
parallel back end is provided as argument to parallel
argument in the clustvarsel() function call.
Add “A quick tour of clustvarsel” vignette.
clustvarsel 2.2 (2015-11)
Reformat summary output from clustvarsel object.
Add and update references in main help page.
clustvarsel 2.1 (2014-10)
Version associated with JSS paper submission.
Add explicitly stop of clusters if parallel is used.
Specifically included in the hc() function call the
argument name data = ... so that works with both mclust
version 4.4 and upper.
Other bug fixes and improvements.
clustvarsel 2.0 (2013-10)
Partial rewriting of the package.
“greedy” search has option for forward and backward direction.
“headlong” search has option only for forward direction in this
release.
In clustvarsel() argument G is not the
maximum number of clusters but it must be a vector of number of cluster
to look for.
No separate code for sampling and no-sampling version of each search
algorithm.
Inclusion of argument hcModel to control the initial
hierarchical clustering.
Include subset selection in the regression of proposed variable on
the variables already included.
“greedy” search algorithms can be executed either sequentially or
using the parallel computing facilities available in R.
This version of the package requires R (>= 3.0.0) and mclust
(>= 4.0).
clustvarsel 1.3 (2009-08)
Last version on CRAN available for R-2.14.x and mclust version
3.5