[PKanalix] Get the settings associated to the non compartmental analysis
Get the settings associated to the non compartmental analysis. Associated settings are:
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"obsidtouse" |
(character) |
The observation id from data section to use for computations |
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"administrationType" |
(list) |
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list(key = "admId", value = character("intravenous" or "extravascular")). admId Admninistration ID from data set or 1 if no admId column in the dataset. |
"integralMethod" |
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(character) |
Method for AUC and AUMC calculation and interpolation. Possible outputs are Possible methods are "linTrapLinInterp" (linear trapezoidal linear), "linLogTrapLinLogInterp" (linear log trapezoidal), "upDownTrapUpDownInterp" (linear up log down ) and "linTrapLinLogInterp" (linear trapezoidal linear/log). |
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"partialAucTime" |
(list) |
The first element of the list is a bolean describing if this setting is used. The second element of the list is a list of the values of the bounds of the partial AUC calculation intervals. |
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"interdoseIntervalForSingleDose" |
(list) |
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The first element of the list is a logical describing if this setting is used. The second element of the list is a number defining the interdose interval. |
"blqMethodBeforeTmax" |
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(character) |
Method by which the BLQ data before Tmax should be replaced. |
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"blqMethodAfterTmax" |
(character) |
Method by which the BLQ data after Tmax should be replaced. |
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"ajdr2AcceptanceCriteria" |
(list) |
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The first element of the list is a logical describing if this setting is used. The second element of the list is the value of the adjusted R2 acceptance criteria for the estimation of lambda_Z. |
"extrapAucAcceptanceCriteria" |
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(list) |
The first element of the list is a logical describing if this setting is used. The second element of the list is the value of the AUC extrapolation acceptance criteria for the estimation of lambda_Z. |
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"spanAcceptanceCriteria" |
(list) |
The first element of the list is a logical describing if this setting is used. The second element of the list is the value of the span acceptance criteria for the estimation of lambda_Z. |
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"lambdaRule" |
(character) |
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Main rule for the lambda_Z estimation. |
"timeInterval" |
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(vector) |
Time interval for the lambda_Z estimation when "lambdaRule" = "interval". |
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"timeValuesPerId" |
(list) |
list("idName" = idTimes,...): idTimes Observation times to use for the calculation of lambda_Z for the id idName. |
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"nbPoints" |
(integer) |
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Number of points for the lambda_Z estimation when "lambdaRule" = "points". |
"maxNbOfPoints" |
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(list) |
The first element of the list is a logical describing if this setting is used. The second element of the list is the value maximum number of points to use for the lambda_Z estimation when "lambdaRule" = "R2" or "adjustedR2". |
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"startTimeNotBefore" |
(list) |
The first element of the list is a logical describing if this setting is used. The second element of the list is the value minimum time value to use for the lambda_Z estimation when "lambdaRule" = "R2" or "adjustedR2". |
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"weightingNCA" |
(character) |
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Weighting method used for the regression that estimates lambda_Z. |
"computedNCAParameters" |
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(vector) |
All the parameters to compute during the analysis. |
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"sparse" |
(logical) |
If the data should be considered sparse, and hence NCA should run on the mean profiles. |
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"spareStratification" |
(vector) |
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The covariates that should be used to stratify the mean profiles for sparse NCA. |
"sparseCensoring" |
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(list) |
The censoring settings to apply to calculate the mean profiles for sparse NCA in case of censored data (see setNCASettings for more details). |
Usage
getNCASettings(...)
Arguments
... [optional] (character) Name of the settings whose value should be displayed. If no argument is provided, all the settings are returned.
Value
A list with each setting name mapped to its current value.
See also
Examples
if (FALSE) {
getNCASettings() # retrieve a list of all the NCA methodology settings
getNCASettings("lambdaRule","integralMethod") # retrieve a list containing only the value of the settings whose name has been passed in argument
}