Create Visual Predictive Checks

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Documentation for package ‘vpc’ version 1.2.2

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vpc-package VPC package
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
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
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
simple_data A small rich dataset
sim_data Simulate data based on a model and parameter distributions
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_tte VPC function for time-to-event (survival) data
vpc_vpc VPC function