clean.conc.blq: Handle BLQ values in the concentration measurements as...

In billdenney/pknca: Perform Pharmacokinetic Non-Compartmental Analysis

Handle BLQ values in the concentration measurements as requested by the user.

Description

Handle BLQ values in the concentration measurements as requested by the user.

Usage

clean.conc.blq(
  conc,
  time,
  ...,
  options = list(),
  conc.blq = NULL,
  conc.na = NULL,
  check = TRUE
)

Arguments

conc	Measured concentrations
time	Time of the measurement of the concentrations
...	Additional arguments passed to clean.conc.na
options	List of changes to the default PKNCA options (see PKNCA.options())
conc.blq	How to handle a BLQ value that is between above LOQ values? See details for description.
conc.na	How to handle NA concentrations. (See clean.conc.na())
check	Run assert_conc_time()?

Details

NA concentrations (and their associated times) will be handled as described in clean.conc.na() before working with the BLQ values. The method for handling NA concentrations can affect the output of which points are considered BLQ and which are considered "middle". Values are considered BLQ if they are 0.

conc.blq can be set either a scalar indicating what should be done for all BLQ values or a list with elements named "first", "middle", and "last" each set to a scalar.

The meaning of each of the list elements is:

first

Values up to the first non-BLQ value. Note that if all values are BLQ, this includes all values.

middle

Values that are BLQ between the first and last non-BLQ values.

last

Values that are BLQ after the last non-BLQ value

The valid settings for each are:

"drop"

Drop the BLQ values

"keep"

Keep the BLQ values

a number

Set the BLQ values to that number

Value

The concentration and time measurements (data frame) filtered and cleaned as requested relative to BLQ in the middle.

See Also

Other Data cleaners: clean.conc.na()

billdenney/pknca documentation built on April 1, 2024, 10:45 p.m.