Every PKNCA_impute_method_*() function is registered with its
description; its arguments and their defaults come from the function
itself. The method names are what imputation strings use (see
PKNCA_impute_fun_list() and the impute argument of PKNCAdata()).
Value
A tibble with one row per method, sorted by method, and the columns:
- method
The name used in imputation strings (for example,
"start_conc0")- fun
The function name (for example,
"PKNCA_impute_method_start_conc0")- description
The one-line description
- arguments
A list column of data.frames with one row per argument and the columns
argumentanddefault(the deparsed default, orNAwhen there is none)
Details
Registration only describes PKNCA's own methods. A method is still found by
its function name: a user-defined PKNCA_impute_method_<name>() function
that PKNCA can see (for example, in the global environment) is used by the
imputation string "<name>" without being registered, and it is not listed
here.
Methods
| Method | Description |
"end_conc_drop" | Drop a concentration measured exactly at the end of the interval, if one is present (usually used with multiple-dose data when a point at the interval boundary belongs to the next dose, e.g. an imputed C0) |
"start_cmin" | Add a new concentration of the minimum during the interval at the start time (usually used with multiple-dose data) |
"start_conc0" | Set the concentration at the start time to 0, even if a nonzero concentration exists at that time (usually used with single-dose data). |
"start_predose" | Shift a predose concentration to become the time zero concentration (only if a time zero concentration does not exist). |
"start_predose_conc0" | Use a predose concentration as the start concentration when one is available and 0 when it is not. |
See also
Other Imputation:
PKNCA_impute_fun_list(),
PKNCA_impute_method,
assert_impute_method(),
get_impute_column(),
get_impute_method()
Examples
pknca_impute_methods()[, c("method", "description")]
#> # A tibble: 5 × 2
#> method description
#> <chr> <chr>
#> 1 end_conc_drop Drop a concentration measured exactly at the end of the i…
#> 2 start_cmin Add a new concentration of the minimum during the interva…
#> 3 start_conc0 Set the concentration at the start time to 0, even if a n…
#> 4 start_predose Shift a predose concentration to become the time zero con…
#> 5 start_predose_conc0 Use a predose concentration as the start concentration wh…