Nothing
goodness.of.fit
.runGMCM()
for
a local instance.classify()
function to ease classification after fitting a general
GMCM.EMAlgorithm
is now exported to the user interface with slight
tweaks. Better docs and examples are also provided.as.theta()
and fixed issue incorrect default axis
labels in plot.theta
.vector2theta
and
theta2vector
) causing the first anchored component to be scaled
slightly incorrectly. Note, fitted results will be changed compared to
earlier versions (although hopefully not much).S3
object of class theta
and
print.theta()
, summary.theta()
, and plot.theta()
functions have
been made to fit the usually expected generic functions.rtheta
has been updated substantially to allow for finer and
more explicit control if needed. Default is the old behavior.anyNA
on R versions older than 3.1.0).EStep
has been implemented in
Rcpp
and thus GMCM now features a faster pseudo EM algorithm.rmvnormal
and dmvnormal
are now exported and
visible to the user. These are now both implemented in \cpkg{Rcpp}
and are faster versions of rmvnorm
and
dmvnorm
from \cpkg{mvtnorm}.verbose
and max.ite
in
fit.meta.GMCM
has been swapped to make it consistent with
fit.full.GMCM
. Apologies for any inconveniences.get.idr
is no longer exported and visible to the user.
Use get.IDR
to get the local (posterior class probabilities)
and adjusted irreproducibility discovery rates (IDR).pgmm_marginal
and other functions in src/GMCM.cpp
have
been rewritten to address memory issues. \cpkg{GMCM} should now be more
stable and faster.Any scripts or data that you put into this service are public.
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