Package: mapbayr 0.10.2.9002

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>.

Authors:Felicien Le Louedec [aut, cre], Kyle T Baron [ctb], Laura Morvan [ctb]

mapbayr_0.10.2.9002.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mapbayr/json (API)

# Install 'mapbayr' in R:

install.packages('mapbayr', repos = c('https://felicienll.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/felicienll/mapbayr/issues

Pkgdown/docs site:https://felicienll.github.io

Datasets:

est001 - Estimation object

On CRAN:

quarto

6.91 score 25 stars 1 packages 27 scripts 345 downloads 39 exports 37 dependencies

Last updated from:0412b46945. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	258
source / vignettes	OK	288
linux-release	OK	278
macos-release	OK	181
macos-oldrel	OK	180
windows-devel	OK	239
windows-release	OK	242
windows-oldrel	OK	211
wasm-release	OK	129

Exports:add_covariates adm_cmt adm_lines adm_rows augment bar_phi check_mapbayr_model compute_ofv compute_weights do_compute_ofv do_mapbayr_sim do_model_averaging eta exdata exmodel filter get_cov get_data get_eta get_param get_phi mapbayest mapbayr_plot mapbayr_vpc mbrest merge_phi model_averaging obs_cmt obs_lines obs_rows parse_datehour plot_phi preprocess.ofv.fix preprocess.ofv.id preprocess.optim read_nmphi summarise_phi use_estimates use_posterior

Dependencies:BH cli cpp11 crayon dplyr farver generics ggplot2 glue gtable hms isoband labeling lifecycle magrittr mrgsolve pillar pkgconfig prettyunits progress purrr R6 RColorBrewer Rcpp RcppArmadillo rlang S7 scales stringi stringr tibble tidyr tidyselect utf8 vctrs viridisLite withr

Model specifications

Rendered frommodel-specifications.qmdusingquarto::html

Last update: 2026-08-15
Started: 2026-08-15

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Add covariate columns to a dataset	add_covariates add_covariates.data.frame add_covariates.mrgmod
Add administration lines to a dataset	adm_rows adm_rows.data.frame adm_rows.missing adm_rows.mrgmod
Return the mapbay_tab as a data.frame	as.data.frame.mapbayests
Compute full PK profile prediction from mapbayr estimates.	augment
Compute full PK profile prediction from mapbayr estimates.	augment.mapbayests
Check if model is valid for 'mapbayr'	check_mapbayr_model
Compute the objective function value	compute_ofv do_compute_ofv
Data helpers: functions to build the dataset	data_helpers
Deprecated functions	adm_lines deprecations mbrest obs_lines use_posterior
Simulate with mapbayr	do_mapbayr_sim
Estimation object	est001
Generate a vector of "ETA"	eta
Example model and data	exdata exmodel exmodel_exdata
Filter a dataset within a mrgmod	filter.mrgmod
Get content from object	get_cov get_cov.mapbayests get_data get_data.mapbayests get_data.mrgmod get_eta get_eta.mapbayests get_param get_param.mapbayests get_phi get_phi.mapbayests get_x
Plot posterior distribution of bayesian estimates	hist.mapbayests
Estimate parameters (maximum a posteriori)	mapbayest
Make mapbayr plot	mapbayr_plot
Visual Predicted Checks	mapbayr_vpc
Average predictions from multiple models	compute_weights do_model_averaging model_averaging
Add observation lines to a dataset	obs_rows obs_rows.data.frame obs_rows.missing obs_rows.mrgmod
Parse value to "POSIXct"	parse_datehour
Plot predictions from mapbayests object	plot.mapbayests
Preprocess model and data for ofv computation	preprocess.ofv preprocess.ofv.fix preprocess.ofv.id
Pre-process: arguments for optimization function	preprocess.optim
Print a mapbayests object	print.mapbayests
Use parameter estimates	use_estimates
Compare results to NONMEM .phi	bar_phi merge_phi plot_phi read_nmphi summarise_phi vs_nonmem
Read compartment options in a model	adm_cmt obs_cmt x_cmt