exclude_nca | R Documentation |
Exclude NCA parameters based on examining the parameter set.
exclude_nca_span.ratio(min.span.ratio)
exclude_nca_max.aucinf.pext(max.aucinf.pext)
exclude_nca_count_conc_measured(
min_count,
exclude_param_pattern = c("^aucall", "^aucinf", "^aucint", "^auciv", "^auclast",
"^aumc", "^sparse_auc")
)
exclude_nca_min.hl.r.squared(min.hl.r.squared)
exclude_nca_tmax_early(tmax_early = 0)
exclude_nca_tmax_0()
min.span.ratio |
The minimum acceptable span ratio (uses
|
max.aucinf.pext |
The maximum acceptable percent AUC extrapolation (uses
|
min_count |
Minimum number of measured concentrations |
exclude_param_pattern |
Character vector of regular expression patterns to exclude |
min.hl.r.squared |
The minimum acceptable r-squared value for half-life
(uses |
tmax_early |
The time for Tmax which is considered too early to be a valid NCA result |
exclude_nca_span.ratio()
: Exclude based on span.ratio
exclude_nca_max.aucinf.pext()
: Exclude based on AUC percent extrapolated (both
observed and predicted)
exclude_nca_count_conc_measured()
: Exclude AUC measurements based on count of
concentrations measured and not below the lower limit of quantification
exclude_nca_min.hl.r.squared()
: Exclude based on half-life r-squared
exclude_nca_tmax_early()
: Exclude based on implausibly early Tmax (often used
for extravascular dosing with a Tmax value of 0)
exclude_nca_tmax_0()
: Exclude based on implausibly early Tmax (special case
for tmax_early = 0
)
Other Result exclusions:
exclude()
my_conc <- PKNCAconc(data.frame(conc=1.1^(3:0),
time=0:3,
subject=1),
conc~time|subject)
my_data <- PKNCAdata(my_conc,
intervals=data.frame(start=0, end=Inf,
aucinf.obs=TRUE,
aucpext.obs=TRUE))
my_result <- pk.nca(my_data)
my_result_excluded <- exclude(my_result,
FUN=exclude_nca_max.aucinf.pext())
as.data.frame(my_result_excluded)
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