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: |
0.40.0 |
| 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: |
2024-09-09 |
| 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 [issues need fixing before 2024-09-23] |