Requires R (>= 3.5)
Moved following from soft to warn deprecated
is.term()
is.incomplete_terms()
is.inconsistent_terms()
parameters()
parameters<-()
set_parameters()
tdims()
default.stringsAsFactors() from
as.data.frame.term_rcrdchk::chkor() with
chk::chkor_vld().lifecycle 1.0.0.terms argument to
npdims.term().terms argument to
pars.terms().nterms() now returns total number of terms not just
number of unique non-missing terms.is_inconsistent_term() now returns TRUE if includes
missing or invalid terms.term_rcrd class to store vector as underlying
data frame and implemented some functions.unique().summary().anyDuplicated().scalar_term() to test whether each element in a term
vector is scalar.normalize_terms().normalize argument to
as_term.character().as.term() so issues deprecation warning.is_complete_terms() now requires same number of
duplicate copies.chk_term() and vld_term() argument
validate now defaults to "complete" and
class value is soft-deprecated.as.term() for as_term().is.term() for is_term().is.incomplete_terms() for
is_incomplete_terms().is.inconsistent_terms() for
is_inconsistent_terms().pars(x, terms = TRUE) for
pars_terms(x).subset(select = ) for
subset(pars = ).terms argument of npdims().term as a vtcr class with
term() constructor which treats unnamed arguments as
term values and named values as parameters with their associated
dimensions.new_term() to create term vector from character vector
without any check.vec_cast() to safely cast character.pars(scalar = TRUE) and
npars(scalar = TRUE).pars_terms().scalar_term() to test if each term element is
scalar.ndims() and dims() imported from
universals and reexported.repair_terms().chk_term() and vld_term().