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All functions

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