computeMemory() when
labeling subset rows for trend direction (“up”/“down”/“stable”).computeMemory() to apply
addRandomColumn() to the subsetted data
(lagged.data.model) rather than the full dataset.plotExperiment() referencing wrong variable name
(parameters instead of parameters.file).prepareLaggedData() using hardcoded
"age" instead of the user-supplied time column
name in time.zoom validation.runExperiment() operator precedence bug:
length(parameters.names == 1) changed to
length(parameters.names) == 1.importFrom directives into individual
entries in NAMESPACE.num.threads to
computeMemory() to allow multithreading in
ranger::ranger().add.random from
computeMemory() and replaced it with the option “none” in
argument random.mode.response and drivers are no
longer required in computeMemory() if argument
lagged.data was generated with
prepareLaggedData().ribbon to plotMemory() and
removed other useless arguments to simplify the usage.sampling.names from
runExperiment(), plotExperiment(), and
experimentToTable() as it provided minimal value while
adding complexity.sampling.subset from
extractMemoryFeatures() as it provided minimal value while
adding complexity. Users can filter input data directly (e.g.,
data[data$sampling == 25, ]).mergePalaeoData() to
alignTimeSeries() for domain-agnostic naming. The old name
remains as a deprecated alias.prepareLaggedData() to
lagTimeSeries() for consistency with
alignTimeSeries(). The old name remains as a deprecated
alias.computeMemory(), extractMemoryFeatures(),
mergePalaeoData(), plotMemory(),
prepareLaggedData(), runExperiment(), and
dataset help pages.plotInteraction(), as it is
available in spatialRF::plot_response_surface() and the
package pdp.Initial CRAN release.