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Changelog

Source: NEWS.md

nlmixr2plot 5.1.0

  • Fixed an “object of type ‘closure’ is not subsettable” error in vpcCensTad() (and vpcCens()/vpcPlot()/vpcPlotTad() with cens = TRUE and a non-time idv); the censored VPC now passes the sim/obs column mappings to vpc::vpc_cens() explicitly instead of relying on column guessing (nlmixr2#390).
  • Fixed the censored VPC confidence band, which was computed as if every simulated row were its own replicate. The simulated dv is now mapped to the sim column instead of being copied into a new dv column, so vpc groups the simulated data by replicate as it does for the uncensored VPC.
  • Fixed a quantile() “missing values and NaNs not allowed” error in prediction-corrected vpcPlot()/vpcPlotTad() on censored (LLOQ/ULOQ) fits with the vpc backend; censored records are now dropped before the pred-corrected VPC (which is shown for non-censored data only), matching the vpc package’s stated behavior (nlmixr2#390).
  • Fixed prediction-corrected vpcPlot()/vpcPlotTad() with method = "tidyvpc", cens = TRUE, which previously errored that the observed data had no cens column; the censoring column is now retained when the observed dataset is rebuilt for pred-correction.
  • plot() on a fit with between-subject variability (BSV) now adds a nested "bsv" section (inside each data/compartment group) with QQ plots for each BSV parameter, BSV-BSV correlation plots (when more than one BSV parameter is present) and, via the new covariate argument, BSV-by-covariate plots (box-and-whisker for categorical or low-cardinality covariates, scatter plus a linear trend with confidence interval for continuous ones). Covariate values are taken from each subject’s first record, so they are assumed time-invariant (#51).
  • Plot collections returned by plot() (for fits and augPred objects) are now gglist objects from the ggtibble package instead of the internal nlmixr2PlotList class. They still print/plot all figures at once and support broadcasting ggplot2 additions (e.g. plot(fit) + ggplot2::theme_bw()), and the top-level object remains a named, nested collection (plot(fit)[["Endpoint: ..."]]). The collection can also be converted to a ggtibble for reporting with ggtibble::as_ggtibble().
  • Individual/augPred plots are now paginated with ggforce::facet_wrap_paginate(), removing the hand-written 16-IDs-per-page chunking. Requires ggtibble (>= 1.0.3.9000) and ggforce; the minimum R version is now 4.3.
  • plot() on a fit (and on an augPred object) is now about 3x faster. The paginated individual plots were expanded one-per-page with ggtibble::as_gglist(), which deep-copies the plot through serialize()/unserialize(); because those plots are built inside functions that hold the whole fit, each copy walked the entire fit object. The pages are now produced by re-adding the paginated facet for each page instead.
  • Removed obsolete rxode2::.linCmtSensB() test guards. That internal was removed from rxode2 in 2025, so the try()/skip_if_not() checks always fell through and never skipped. linCmt() gradients are now always available, so the guards are unnecessary and the tests run unconditionally.

nlmixr2plot 5.0.2

CRAN release: 2026-06-11

  • Fixed an error when plotting models without compartments (#33)

nlmixr2plot 5.0.1

CRAN release: 2026-02-28

  • Updated nlmixr2 to optionally use the tidyvpc package

nlmixr2plot 5.0.0

CRAN release: 2025-11-29

  • Updated to use nlmixr2 5.0 file format

nlmixr2plot 3.0.3

CRAN release: 2025-08-23

  • Updated tests and added Ops method (removing + method) to work with ggplot2 version 4 (#39)

nlmixr2plot 3.0.1

CRAN release: 2025-02-14

  • Added the ability to add ggplot items to a nlmixr2 plot list with +

nlmixr2plot 3.0.0

CRAN release: 2024-09-18

  • Update to support new version of rxode2

nlmixr2plot 2.0.9

CRAN release: 2024-05-29

  • Bug fix for vpcPlot() where input data frame for models did not stratify all the time when the columns were upper case.

nlmixr2plot 2.0.8

CRAN release: 2024-01-31

  • plot() now returns a named list of lists so that users can more easily choose which plots to include, if all plots are not desired. Or the user could use those names as the basis of figure captions (fix #8).

  • Models without eta values (between subject variability) now have more consistent plotting to models with eta values (fix #18).

  • The package was updated to align with changes in ggplot2.

  • The package was updated to skip tests with "focei" and linCmt()

nlmixr2plot 2.0.7

CRAN release: 2022-10-20

  • Added fixes for upcoming ‘ggplot2’ 3.4 release

  • Added changes for the generalized log-likelihood supported by ‘nlmixr2est’

  • Added a NEWS.md file to track changes to the package.