All functions

add_noise()

Add noise / residual error to data

add_sim_index_number()

Add sim index number

add_stratification()

Adds stratification to data set

auto_bin()

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

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_data_columns()

Define data column defaults for various softwares

draw_params_mvr()

Draw parameters from multivariate distribution

loq_perc()

Calculate percentiles below / above lloq / 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

quantile_cens()

Calculate quantiles respecting the censored data

read_table_nm()

NONMEM output table import function

replace_list_elements()

Replace list elements by name

rtte_obs_nm

Simulated RTTE data (1x)

rtte_sim_nm

Simulated RTTE data (100x)

show_default

Defaults for show argument

show_default_tte

Defaults for show argument for TTE VPC

sim_data()

Simulate data based on a model and parameter distributions

simple_data

A small rich dataset

theme_empty()

Empty ggplot2 theme

theme_plain()

A nicer default theme for ggplot2

triangle_to_full()

Lower to full triangle

vpc-package

VPC package

vpc() vpc_vpc()

VPC function

vpc_cat()

VPC function for categorical

vpc_cens()

VPC function for left- or right-censored data (e.g. BLOQ data)

vpc_tte()

VPC function for time-to-event (survival) data