Package: vachette
Title: A Method for Visualization of Pharmacometric Models
Version: 0.40.1
Authors@R: c(
      person("Jos", "Lommerse", email = "jos.lommerse@gmail.com", role = c("aut")),
      person("Anna", "Largajolli", email = "anna.largajolli@certara.com", role = c("aut")),
      person("James", "Craig", email = "james.craig@certara.com", role = c("aut", "cre")),
      person("Nele", "Mueller-Plock", email = "nele.mueller-plock@certara.com", role = c("ctb")),
      person("Jeff", "Sachs", email = "jeff_sachs@merck.com", role = c("ctb")),
      person("Amy", "Cheung", email = "amy.cheung@certara.com", role = c("ctb")),
      person("Certara USA, Inc.", role = c("cph","fnd"))
      )
Description: 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.
URL: https://github.com/certara/vachette
BugReports: https://github.com/certara/vachette/issues
Depends: R (>= 4.0)
License: LGPL-3
Encoding: UTF-8
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown, mrgsolve, tidyvpc, testthat (>= 3.0.0),
        learnr
Imports: ggplot2, tidyr, dplyr, magrittr, prospectr, Hmisc, purrr,
        minpack.lm, progress, rlang, utils, photobiology
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2024-09-18 16:54:29 UTC; jcraig
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@certara.com>
Repository: CRAN
Date/Publication: 2024-09-19 05:50:02 UTC
Built: R 4.4.3; ; 2025-10-21 14:56:17 UTC; windows
