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DESCRIPTION

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@@ -16,7 +16,7 @@ Description: Individualization of drug dosage taking advantage of population pha
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License: AGPL-3
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Encoding: UTF-8
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Roxygen: list(markdown = TRUE)
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RoxygenNote: 7.2.0
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RoxygenNote: 7.2.1
2020
Depends:
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R (>= 3.5.0)
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Imports:

README.Rmd

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* `vignette("case_study_amikacin")`
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* `vignette("case_study_vancomycin")`
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All the vignettes are also available at [https://levenc.github.io/posologyr/](https://levenc.github.io/posologyr/).
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## Performance of the MAP-EBE algorithm in posologyr
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Posologyr showed comparable performance to NONMEM:
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* Pharmaceutics **2022**, 14(2), 442; [doi:10.3390/pharmaceutics14020442](https://doi.org/10.3390/pharmaceutics14020442)
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* Supporting data: [https://github.com/levenc/posologyr-pharmaceutics](https://github.com/levenc/posologyr-pharmaceutics)
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## Acknowledgments
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`posologyr`'s estimation functions were based on [Marc Lavielle's shiny app]( http://shiny.webpopix.org/mcmc/bayes1/)

README.md

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- `vignette("case_study_amikacin")`
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- `vignette("case_study_vancomycin")`
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All the vignettes are also available at
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<https://levenc.github.io/posologyr/>.
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## Performance of the MAP-EBE algorithm in posologyr
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Posologyr showed comparable performance to NONMEM:
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- Pharmaceutics **2022**, 14(2), 442;
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[doi:10.3390/pharmaceutics14020442](https://doi.org/10.3390/pharmaceutics14020442)
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- Supporting data: <https://github.com/levenc/posologyr-pharmaceutics>
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## Acknowledgments
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docs/404.html

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docs/LICENSE.html

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docs/articles/case_study_amikacin.html

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