A Method for Visualization of Pharmacometric Models R package vachette version 0.40.1 A method to visualize pharmacometric analyses which are impacted by covariate effects. Variability-aligned covariate harmonized-effects and time-transformation equivalent ('vachette') facilitates intuitive overlays of data and model predictions, allowing for comprehensive comparison without dilution effects. 'vachette' improves upon previous methods Lommerse et al. (2021) <doi:10.1002/psp4.12679>, enabling its application to all pharmacometric models and enhancing Visual Predictive Checks (VPC) by integrating data into cohesive plots that can highlight model misspecification. Software Depends: R (>= 4.0) Imports: ggplot2, tidyr, dplyr, magrittr, prospectr, Hmisc, purrr, minpack.lm, progress, rlang, utils, photobiology Suggests: knitr, rmarkdown, mrgsolve, tidyvpc, testthat (>= 3.0.0), learnr James Craig <james.craig@certara.com> Comprehensive R Archive Network (CRAN) Jos Lommerse [aut], Anna Largajolli [aut], James Craig [aut, cre], Nele Mueller-Plock [ctb], Jeff Sachs [ctb], Amy Cheung [ctb], Certara USA, Inc. [cph, fnd] LGPL-3 2024-09-19 application/tgz https://CRAN.R-project.org/package=vachette doi:10.32614/CRAN.package.vachette