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 results |