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mapbayr
View on CRAN: Click
here
Download and install mapbayr package within the R console
Install from CRAN:
install.packages("mapbayr")
Install from Github:
library("remotes")
install_github("cran/mapbayr")
Install by package version:
library("remotes")
install_version("mapbayr", "0.10.0")
Attach the package and use:
library("mapbayr")
Maintained by
Felicien Le Louedec
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-30
Latest Update: 2023-07-17
Description:
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) .
How to cite:
Felicien Le Louedec (2021). mapbayr: MAP-Bayesian Estimation of PK Parameters. R package version 0.10.0, https://cran.r-project.org/web/packages/mapbayr. Accessed 21 Nov. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for mapbayr
Functions, R codes and Examples using
the mapbayr R package
Some associated functions: add_covariates . adm_rows . as.data.frame.mapbayests . augment.mapbayests . augment . check_mapbayr_model . compute_ofv . data_helpers . deprecations . do_mapbayr_sim . est001 . eta . exmodel_exdata . filter.mrgmod . get_x . hist.mapbayests . mapbayest . mapbayr_plot . mapbayr_vpc . model_averaging . obs_rows . parse_datehour . plot.mapbayests . preprocess.ofv . preprocess.optim . print.mapbayests . reexports . use_posterior . vs_nonmem . x_cmt .
Some associated R codes: augment.R . data.R . data_helpers.R . deprecations.R . eta.R . exmodel.R . get.R . mapbayest.R . mapbayest_check_and_preprocess.R . mapbayest_ofv_computation.R . mapbayest_optimization.R . mapbayest_postprocess.R . mapbayests.R . merge.R . modelaveraging.R . pcvpc.R . plot.R . read_mrgsolve_model.R . sim.R . use_posterior.R . vs_nonmem.R . zzz_utils.R . Full mapbayr package functions and examples
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