mvtb.covex
now estimates the covariance explained matrix, it is not estimated by default mvtb
correspond directly to gbm
mvtb.fit
is now exporteddistribution
can be any supported by mvtb
, but covariance explained can only
be estimated when distribution=gaussian
mvtb.covex
that directly returns the covariance explained matrix.mvtb.plot
gains return.grid
argument to return gbm grid that is used for plotting\code{}
statements, among other thingsmvtb.heat
gains a dec
argument to specify the number of digits after the decimal to plot?mvtboost
has been updated to produce a cleaner plotmvtb
, and other functionsmvtb.summary
gains a covex
argument if covex is not wantedpredict
now drops unnecessary dimensionscluster.covex
becomes mvtb.cluster
, a more generic way to cluster any table. obtains a 'plot' argument, a call to mvtb.heat
heat.covex
becomes mvtb.heat
, a generic way to heatmap any table (e.g. covex or relative influence). Has better plotting defaults to allow room for y-axis labels. Gets cexRow
,cexCol
arguments, with sensible defaults. Clustering can also be turned off by setting clust.method=NULL
.mvtb.perspec
plots variable names by default, gets ylab, xlab, zlab
argumentsmvtb
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