Calculate aggregate statistics for simulated and observed VPC data

Usage

calc_vpc_continuous(sim, obs, loq, pi, ci, stratify, bins, bin_mid, verbose)

sim: this is usually a data.frame with observed data, containing the independent and dependent variable, a column indicating the individual, and possibly covariates. E.g. load in from NONMEM using read_table_nm. However it can also be an object like a nlmixr or xpose object
obs: a data.frame with observed data, containing the independent and dependent variable, a column indicating the individual, and possibly covariates. E.g. load in from NONMEM using read_table_nm
loq: The list output from define_loq()
pi: simulated prediction interval to plot. Default is c(0.05, 0.95),
ci: confidence interval to plot. Default is (0.05, 0.95)
stratify: character vector of stratification variables.
bins: either "density", "time", or "data", "none", or one of the approaches available in classInterval() such as "jenks" (default) or "pretty", or a numeric vector specifying the bin separators.
bin_mid: either "mean" for the mean of all timepoints (default) or "middle" to use the average of the bin boundaries.
verbose: show debugging information (TRUE or FALSE)

A list with "vpc_dat" and "aggr_obs"