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lattice
and misc3d packages have become optional
(Suggests) dependencies rather than required ones, and
tkrplot is not directly connected at all. Visualisation can
now be performed by RNifti (an existing dependency through
oro.nifti), which has more easily met system requirements
than misc3d.tinytest and covr are now suggested
dependencies for testing and code-coverage support.plot.mritc() gains a method argument for
choosing the visualisation backend: the new default,
"RNifti", uses RNifti::view() and requires
only packages already needed elsewhere by mritc; the
previous behaviour is still available via method="misc3d",
which uses the Tk-based misc3d::slices3d() viewer and
requires the misc3d and tkrplot packages to be
installed.verbose argument to mritc(),
passed through to the underlying fitting methods, to allow progress
messages to be suppressed.mritc(..., method="MCMCsubbias") used
the wrong spatial neighbourhood construction (sub=FALSE
instead of sub=TRUE), affecting results for that
method.mritc.pvhmrfem() where argument checks
on mu, sigma and err were not
actually performed, which could lead to a downstream segfault for
invalid inputs.writeMRI() involving incorrect
vectorised use of ifelse(), which could fail for some input
object types.print.mritc(), summary.mritc(),
plot.mritc() and measureMRI() all used
max.col() without breaking ties consistently, which could
change reported results from run to run).LazyData field was dropped from the package
DESCRIPTION.\donttest, as requested
by CRAN."MCMCsubbias" method for mritc() and a new
getWeightsMRI() function.readMRI()/writeMRI()) now uses the
oro.nifti package, rather than the previously used
AnalyzeFMRI and fmri packages.tkrplot added as a suggested package dependency,
required for the interactive 3D viewer used by plot.mritc()
(thanks to Brian Ripley for reporting the missing dependency).plot.mritc(),
print.mritc() and summary.mritc() methods to
use standard \method{}{} markup (thanks to Achim
Zeileis).measureMRI() now uses discrete (rather than fuzzy)
classifications to calculate tissue volumes, simplifying the calculation
of rseVolume.measureMRI().checkErrors() affecting the comparison
sum(prop)==1.initProp() and initThresh()
initialisation functions, alongside initOtsu().misc3d to
0.7-1, which fixed a crosshair display bug (thanks to Brandon Whitcher
for testing and reporting the problem).These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.