mapbayr: MAP-Bayesian Estimation of PK Parameters

Performs maximum a posteriori Bayesian estimation of individual pharmacokinetic parameters from a model defined in 'mrgsolve', typically for model-based therapeutic drug monitoring. Internally computes an objective function value from model and data, performs optimization and returns predictions in a convenient format. The performance of the package was described by Le Louedec et al (2021) <doi:10.1002/psp4.12689>.

Version: 0.10.0
Depends: R (≥ 2.10)
Imports: dplyr, ggplot2 (≥ 3.4.0), magrittr, mrgsolve (≥ 1.0.8), progress, purrr, rlang, stringr, tidyr
Suggests: knitr, lubridate, minqa, scales, testthat (≥ 3.0.0), tibble
Published: 2023-07-17
Author: Felicien Le Louedec ORCID iD [aut, cre], Kyle T Baron ORCID iD [ctb], Laura Morvan [ctb]
Maintainer: Felicien Le Louedec <felicienlelouedec at proton.me>
BugReports: https://github.com/FelicienLL/mapbayr/issues
License: GPL-3
URL: https://github.com/FelicienLL/mapbayr
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mapbayr results

Documentation:

Reference manual: mapbayr.pdf

Downloads:

Package source: mapbayr_0.10.0.tar.gz
Windows binaries: r-devel: mapbayr_0.10.0.zip, r-release: mapbayr_0.10.0.zip, r-oldrel: mapbayr_0.10.0.zip
macOS binaries: r-release (arm64): mapbayr_0.10.0.tgz, r-oldrel (arm64): mapbayr_0.10.0.tgz, r-release (x86_64): mapbayr_0.10.0.tgz
Old sources: mapbayr archive

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