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.