Nothing
max.nterms
, max.nplots
, max.nrow
).Second release on CRAN.
factor.encoder()
and numeric.encoder()
for improved performance.weighted.rmse()
and its related functions into a single, more versatile weighted.loss()
function.max.bars
to max.terms
, max.nrow
to max.rows
, etc.).weighted()
and its family functions.mid.extract()
and mid.frames()
.color.theme()
to significantly enhance its functionality and flexibility.numeric.encoder()
and factor.encoder()
held an unnecessary reference to the execution environment of interpret.default()
.interpret.formula()
and factor.encoder()
to correctly support subset
and drop.unused.levels
arguments.get.yhat()
methods to ensure prediction outputs always have the same length as the number of input observations.interpret.default()
.interpret.default()
that caused inconsistency between "fitted.values" and "residuals".mid.f()
(mid.effect()
) to correctly handle vector recycling when an input's length is 1.autoplot.mid.conditional()
to avoid redundant evaluation of the "mid" object.k
) in interpret()
.color.theme()
for easier theme specification.interpret.formula()
to resolve environment issues related to stats::model.frame()
color.theme()
.midr.diverging
, midr.qualitative
and midr.sequential
.interpret.formula()
to ensure the evaluated formula
is correctly stored in the function call.First release on CRAN.
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