MAP-Bayesian Estimation of PK Parameters


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Documentation for package ‘mapbayr’ version 0.7.3

Help Pages

add_covariates Data helpers
add_covariates.mrgmod Data helpers
adm_0_cmt Get zero-order infusion compartment from mrgsolve model
adm_cmt Get administration compartment numbers from mrgsolve model
adm_lines Data helpers
adm_lines.mrgmod Data helpers
as.data.frame.mapbayests Return the mapbay_tab as a data.frame
augment Compute full PK profile prediction from mapbayr estimates.
augment.mapbayests Compute full PK profile prediction from mapbayr estimates.
check_mapbayr_model Check if model is valid for mapbayr
compute_ofv Compute the objective function value
data_helpers Data helpers
do_compute_ofv Compute the objective function value
est001 Estimation object
exdata Example model and data
exmodel Example model and data
exmodel_exdata Example model and data
get_cov Get content from object
get_cov.mapbayests Get content from object
get_data Get content from object
get_data.mapbayests Get content from object
get_data.mrgmod Get content from object
get_eta Get content from object
get_eta.mapbayests Get content from object
get_param Get content from object
get_param.mapbayests Get content from object
get_phi Get content from object
get_phi.mapbayests Get content from object
get_x Get content from object
h Compute the H matrix
hist.mapbayests Plot posterior distribution of bayesian estimates
mapbayest Estimate parameters (maximum a posteriori)
mbrest Estimate parameters (maximum a posteriori)
merge_phi Compare results to NONMEM .phi
obs_cmt Get observation compartment numbers from mrgsolve model
obs_lines Data helpers
obs_lines.mrgmod Data helpers
plot.mapbayests Plot predictions from mapbayests object
plot_phi Compare results to NONMEM .phi
postprocess Postprocess mapbayr
postprocess.optim Postprocess mapbayr
postprocess.output Postprocess mapbayr
preprocess.ofv Preprocess model and data for ofv computation
preprocess.ofv.fix Preprocess model and data for ofv computation
preprocess.ofv.id Preprocess model and data for ofv computation
preprocess.optim Pre-process: arguments for optimization function
print.mapbayests Print a mapbayests object
qparam Quick parameter update
read_nmphi Compare results to NONMEM .phi
see_data Data helpers
use_posterior Use posterior estimation
vs_nonmem Compare results to NONMEM .phi