devn.fac to a fixed term and ensures that the same term, with
trend.num replacing devn.fac, is included if any
other term with trend.num is included in terms.devn.fac to a fixed term and ensures that the same term with
trend.num replacing devn.fac is included if any
other term with trend.num is included in terms. It also
ansures that any term with spl{trend.num} replacing
devn.fac in a term being reparameterized is removed from the model.sig.devn.reparam.asrtests(terms = NULL, asrtests.obj,
trend.num = NULL, devn.fac = NULL,
denDF = "default", trace = FALSE, update = TRUE,
set.terms = NULL, ignore.suffices = TRUE,
constraints = "P", initial.values = NA,...)asrtests object for a fitted model that is a list
containing an asreml object, a wald.tab
data.frame with 4 columns, and a devn.fac and is potentially included in terms
in the fitted model.trend.num and is included in terms in the fitted model.wald.asreml is called. Can be none
to suppress the computations, numeric for numerical methods,TRUEthen update.asreml is called in removing and
adding terms to the model. In doing this the arguments R.param
and G.param are set to those in the asreml asreml-assigned names of the variance terms (i.e. the
information to the right of an "!", other than "R!") is to
be ignoterms. This vector
must be of length one or the same length as terms.
If it iterms. This vector
must be of length one or the same length as terms.
If it is of lengasreml via
addrm.terms.asrtests.asrtests object, which is a list containing:
asreml.obj: anasremlobject containing the fit
of the model after all boundary and singular terms have been removed;wald.tab: a 4-columndata.framecontaining a
pseudo-anova table for the fixed terms produced bywald.asreml;test.summary: adata.framewith columnsterm,DF,denDF,pandaction. It contains a row for each term
that is dropped, added or tested or a note that several terms have been
added or removed.asrtests, addrm.terms.asrtests,
testranfix.asrtests, testrcov.asrtests,
newfit.asreml, choose.model.asrtestscurrent.asrt <- sig.devn.reparam.asrtests(choose$sig.terms, current.asrt,
trend.num = "xDay", devn.fac = "Date",
denDF = "algebraic")Run the code above in your browser using DataLab