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.
Version: 0.40.1 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 Published: 2024-09-19 DOI: 10.32614/CRAN.package.vachette Author: 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] Maintainer: James Craig <james.craig at certara.com> BugReports: https://github.com/certara/vachette/issues License: LGPL-3 URL: https://github.com/certara/vachette NeedsCompilation: no Materials: README CRAN checks: vachette resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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