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fitSplineHDM()
for fitting a hierarchical data model,
predict.psHDM()
for making predictions based on this model,
and plot.psHDM()
for plotting the results. The methods used
are described in a new vignette.detectSingleOutMaize()
is fixed.
Observations with a missing value for one of the involved traits are no
longer tagged as outliers.removeSerieOut()
function now has an extra argument
reason allowing for restricting removal of outliers to one or more
reason the outliers where tagged.plot
function for serieOut
objects now
has an extra argument reason allowing for restricting the plotting of
outliers to one or more reason the outliers where tagged.detectSerieOut()
function is now able to handle
plotIds with irregular naming, i.e. plotIds starting with a number.estimateSplineParameters()
can now be
plotted in a box plot and histogram.estimateSplineParameters()
function multiple
parameters can now be estimated at once.detectSerieOut()
that caused slope outliers to
be never detected is fixed.fitSpline()
for
missing values at the beginning or end of a time course is fixed.detectSerieOut()
function now checks for number of
plotIds per plant in the correct location leading to a more user
friendly error message.detectSerieOut()
function now uses an extra
criterion for checking if time courses our outlying. See the function
documentation and vignettes for a full explanation of this new
criterion.trait
in the
removeSerieOut()
function is renamed to traits
and now accepts a vector of traits that for which outlier values can be
replaced by NA
.detectSerieOut()
now has an
extra parameter geno.decomp
to restrict the output to
selected levels of the geno.decomp variable in the data.estimateSplineParameters()
now allows the specification of
the time unit used on the x-axis.centered = TRUE
by default.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.