| add_noise | Add noise / residual error to data |
| add_sim_index_number | Add sim index number |
| add_stratification | Adds stratification to data set |
| as_vpcdb | Create a vpcdb object, and standardize parameter checking |
| auto_bin | Calculate appropriate bin separators for vpc |
| auto_bin.data.frame | Calculate appropriate bin separators for vpc |
| auto_bin.numeric | Calculate appropriate bin separators for vpc |
| bin_data | Function to bin data based on a vector of bin separators, e.g. for use in VPC |
| calc_pred_corr_continuous | Perform prediction-correction |
| calc_vpc_continuous | Calculate aggregate statistics for simulated and observed VPC data |
| check_stratification_columns_available | Check whether stratification columns are available |
| compute_kaplan | Compute Kaplan-Meier statistics |
| compute_kmmc | Compute KMMC statistics |
| create_vpc_theme | Create new vpc theme |
| define_bins | Define bins for many types of data |
| define_bins_tte | Define bins for many types of data |
| define_data_columns | Define data column defaults for various softwares |
| define_loq | Check and standardize limits of quantification |
| draw_params_mvr | Draw parameters from multivariate distribution |
| facet_continuous | A collection of internal ggplot helpers for VPC plotting |
| facet_tte | A collection of internal ggplot helpers for VPC plotting |
| filter_dv | Remove values that are not observed values from data |
| format_vpc_input_data | Prepare VPC data for future calculations by standardizing column names and modifying the input data based on the limits of quantification, stratification, and logarithmic values. |
| format_vpc_input_data_tte | Prepare VPC data for future calculations by standardizing column names and modifying the input data based on the limits of quantification, stratification, and logarithmic values. |
| geom_bin_sep | A collection of internal ggplot helpers for VPC plotting |
| geom_hline_loq | A collection of internal ggplot helpers for VPC plotting |
| geom_obs_cens_dat_tte | A collection of internal ggplot helpers for VPC plotting |
| geom_obs_ci_continuous | A collection of internal ggplot helpers for VPC plotting |
| geom_obs_ci_tte | A collection of internal ggplot helpers for VPC plotting |
| geom_obs_dv_continuous | A collection of internal ggplot helpers for VPC plotting |
| geom_obs_km | A collection of internal ggplot helpers for VPC plotting |
| geom_obs_median_continuous | A collection of internal ggplot helpers for VPC plotting |
| geom_sim_km | A collection of internal ggplot helpers for VPC plotting |
| geom_sim_median_ci_continuous | A collection of internal ggplot helpers for VPC plotting |
| geom_sim_median_continuous | A collection of internal ggplot helpers for VPC plotting |
| geom_sim_median_tte | A collection of internal ggplot helpers for VPC plotting |
| geom_sim_pi_as_area_continuous | A collection of internal ggplot helpers for VPC plotting |
| geom_sim_pi_as_area_tte | A collection of internal ggplot helpers for VPC plotting |
| geom_sim_pi_ci_continuous | A collection of internal ggplot helpers for VPC plotting |
| geom_sim_pi_continuous | A collection of internal ggplot helpers for VPC plotting |
| ggplot.vpcdb_categorical | Create a ggplot for each vpcdb type |
| ggplot.vpcdb_censored | Create a ggplot for each vpcdb type |
| ggplot.vpcdb_continuous | Create a ggplot for each vpcdb type |
| ggplot.vpcdb_time_to_event | Create a ggplot for each vpcdb type |
| ggplot2_label_variable | Function copied from ggplot2:::label_variable, with addition of ' Copied here since CRAN does not like use of ':::'. |
| guides_stratify_color | A collection of internal ggplot helpers for VPC plotting |
| label_vpc_tte | Custom ggplot2 labeller function. |
| loq_frac | Calculate fraction of observations below lloq / above uloq |
| new_vpc_theme | Create a customized VPC theme |
| pk_iv_1cmt | Simulate PK data from a 1-compartment iv model |
| pk_oral_1cmt | Simulate PK data from a 1-compartment oral model |
| plot_vpc | VPC plotting function |
| pred_correction_core | Core prediction correction function |
| quantile_cens | Calculate quantiles respecting the censored data |
| read_table_nm | NONMEM output table import function |
| read_vpc | Read in VPC data |
| replace_list_elements | Replace list elements by name |
| rtte_obs_nm | Simulated RTTE data (1x) |
| rtte_sim_nm | Simulated RTTE data (100x) |
| scale_x_log10_vpc | A collection of internal ggplot helpers for VPC plotting |
| scale_y_log10_vpc | A collection of internal ggplot helpers for VPC plotting |
| show_default | Defaults for show argument with various endpoint types |
| simple_data | A small rich dataset |
| standardize_column | Confirm that a column is in the data, and rename data to prepare that column for later use. |
| theme_empty | Empty ggplot2 theme |
| theme_plain | A nicer default theme for ggplot2 |
| triangle_to_full | Lower to full triangle |
| vpc | VPC function |
| vpc.default | VPC function |
| vpc_cat | VPC function for categorical |
| vpc_cens | VPC function for left- or right-censored data (e.g. BLOQ data) |
| vpc_ggplot | A collection of internal ggplot helpers for VPC plotting |
| vpc_tte | VPC function for time-to-event (survival) data |
| vpc_vpc | VPC function |