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summary_graph()
function was accidentally left
out of the CRAN submission.summary_graph()
(#75) and
heat_map()
(#19) functionsrow
, column
,
block
and treatment
columns to be provided in
the autoplot.design()
function, to enable more general
plotting of designs. (#28)install_asreml()
to check if there is a later
version before downloading.autoplot.design()
.multiple_comparisons()
to prevent breaking. (#53)predictmeans()
. (#50)ar1()
component in
variogram()
. (#49)multiple_comparisons()
via classify
.
(#48)present
argument passed to
predict.asreml()
. (#41)multiple_comparisons()
now accepts power
transformations and automatically back-transforms. It gains a new
argument power
to provide the transformation power applied
in the model to undo. This enables more general Box-Cox transformations.
(#36)multiple_comparisons()
no longer produces an error when
the trans
argument is supplied and offset
is
not. It now produces a warning and sets offset
to 0 when
not provided. (#37)options(biometryassist.check = FALSE)
to your .Rprofile
file to disable. Partially fixes #6.autoplot.mct()
(#35)multiple_comparisons()
(#33)NA
s have been produced. (#24 and #25)multiple_comparisons()
no longer requires calls to
predict.asreml()
to be passed into the function, as the
predicted values are now calculated internally. Additional arguments can
be passed to predict.asreml()
via the ...
argument. (#27)order
argument of
multiple_comparisons()
has been deprecated in favour of a
new argument descending
. This takes logical
(TRUE
or FALSE
) values only, so
default
is no longer possible as it was producing incorrect
results. (#8)resplt()
has been deprecated in favour of
resplot()
and will be removed in a future version
(#20).logl_test()
. (#17)multiple_comparisons()
now. (#14)asreml()
call
on resplot()
if not explicitly provided. (#21)install_asreml()
would not work on
macOS Monterey. (#16)mct.out()
has been renamed to
multiple_comparisons()
logl.test()
has been renamed to
logl_test()
des.info()
has been renamed to
des_info()
For changes prior to biometryassist 1.0.0 see the BiometryTraining package at https://biometryhub.github.io/BiometryTraining/news/index.html.
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.
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