xp_from_bbr() converts a ‘bbr’ model directly into an
xp_xtras object.add_cov_association(), prm_cov() family) with
xplot_forest() / cov_forest() visualization;
see the new parameter-associations vignette.cormat() visualizes the parameter
correlation/covariance matrix, for both NONMEM and nlmixr2 models.catdv_vs_occ() and catdv_vs_ipred() add
categorical DV diagnostic plots (observed-vs-predicted trend across
occasions, and binned calibration).left_join_x() backfills missing variables into an xpdb
via a coalescing left join.set_default_labs(), add_watermark(),
ggsave_xp()), configurable via
set_xtras_options() and auto-applied on print/save. See the
new plot-output vignette.patch_condn() corrects
‘xpose’s condition number calculation for multi-method NONMEM runs, applied automatically byas_xpdb_x()`.focus_function() / focus_qapply() now
support output-generating functions (plots, tables), not just
xpdb-transforming ones.logLik(), AIC(), and
BIC() methods for xpose_data and
xpose_set objects.ind_plots_sample() plots a representative (optionally
stratified) sample of individuals instead of the whole dataset.plot.xpose_data() runs a configurable batch of
diagnostic plots in one call.process_preset() family saves and replays a reusable
xpdb processing pipeline by name, optionally persisted across
sessions.set_dv_probs() no longer crashes when
.problem is omitted.conflicted preferences are now re-applied regardless of
package attach order, fixing spurious “found in 2 packages” errors.%p%.as_xpdb_x() / check_xpdb_x()
erroring on xpose_data objects with no table data.xplot_pairs() silently ignoring a custom
catcont_opts$other_fun, and removed an unreachable leftover
duplicate-axis-label block in roc_by_mod().nlmixr_example() / nlmixr2_example() to avoid
loading nlmixr2est when not installed.
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