Changelog

Added new functionality for dose-proportionality assessment with df_doseprop and plot_doseprop, including helpers mod_loglog and df_loglog to perform and tabulate power law (log-log) regression of exposure versus dose
Added new internal package dataset data_sad_nca for use with dose-proportinality assessment functions
Added helper function dvtime_caption to generate the caption for plot_dvtime
Added helper function pmxhelpr_vpc_theme to capture default VPC plot aesthetics `
Revised vignettes to describe workflow with new default aesthetics
Remove use of log_y argument in VPC plot examples and added rationale to primary vignette for plot_vpc_exactbins
Add unit tests for all primary functions

Fix bug in plot_dvtime to ensure median + IQR error bars prints on both linear and log-scale axes when cent = "median_iqr"

Added cent = "median_iqr" option to plot_dvtime to plot median with inter-quartile range error bars
Updated the ind_dv logical argument in plot_dvtime to grp_dv to generalize use of grouping beyond connecting points within an individual subject
Added the grp_var argument to plot_dvtime to allow specification of the variable assigned to the group aesthetic by the user. Default is grp_var = "ID"

Corrected bug in plot_vpc_exactbins when ordered factor variables are pasted to the strat_var argument. Ordered factors cannot be passed to the underlying stratification function from the vpc package (add_stratification()); therefore, ordered factors will be coerced to unordered factors within plot_vpc_exactbins

Added plot_dvtime function for exploratory concentration-time plotting
Added breaks_time function to automatically determine x-axis breaks for time
Functionality from breaks_time added to plot_vpcexactbins
Exploratory Data Analysis vignette created to demonstrate functionality of new functions
Added dependency: labelling

Fixed bug leading to error when generating stratified vpcs using the strat_var argument

Full VPC workflow now available in Version 0.1.0 with three vignettes to demonstrate this functionality!
VPC Plot Aeesthetics vignette demonstrating options for modifying plot aesthetics, creating a plot legend using plot_legend(), and adding the VPC plot and legend objects together into a single object using the patchwork package

Additional functionality for plot_vpc_exactbins
- shown argument added to facilitate customization of which layers are shown in the plot and standardize with new function plot_legend. Passed to show argument of vpc::vpc()
plot_legend helper function to generate a legend for a VPC plot generated using plot_vpc_exactbins(), which can be combined with the VPC plot using the patchwork package
VPC Plots with BLQ Censoring vignette demonstrating appropriate handling of data missing due to assay sensitivity (below the lower limit of quantification) using plot_vpc_exactbins() and workflow leveraging df_mrgsim_replicate.

Additional functionality for plot_vpc_exactbins
- loq argument added to facilitate incorporating BLQ censoring of observed data in summary quantiles
Bug fix to allow passing argument vpcdb = TRUE to vpc::vpc()

data_sad NONMEM and mrgsolve analysis-ready dataset for a hypothetical SAD study with assessment of food effect.
model mrgsolve model file (class mrgmod) in the internal pmxhelpr model library .
model_load function to load internal models from the pmxhelpr model library.
df_mrgsim_replicate mrgsim wrapper function to run a simulation that replicates the input dataset multiple times, intended for application to generating Visual Predictive Check (VPC) simulation-based model diagnostics.
plot_vpc_exactbins vpc wrapper function to using an exact time binning variable in the input dataset (e.g. nominal time) with plotting of observed data points using actual time.
VPC Plots with Exact Bins vignette demostrating use case for plot_vpc_exactbins() and workflow leveraging df_mrgsim_replicate.

pmxhelpr 0.3.0