sparse_auc_weight_linear: Calculate the weight for sparse AUC calculation with the...
In PKNCA: Perform Pharmacokinetic Non-Compartmental Analysis
sparse_auc_weight_linear R Documentation
Calculate the weight for sparse AUC calculation with the linear-trapezoidal
rule
Description
The weight is used as the w_i parameter in pk.calc.sparse_auc()
Usage
sparse_auc_weight_linear(sparse_pk)
Arguments
sparse_pk
A sparse_pk object from as_sparse_pk()
Details
w_i = \frac{\delta_{time,i-1,i} + \delta_{time,i,i+1}}{2}
\delta_{time,i,i+1} = t_{i+1} - t_i
Where:
w_iis the weight at time i
\delta_{time,i-1,i} and \delta_{time,i,i+1}are the changes between time i-1 and i or i and i+1 (zero outside of the time range)
t_iis the time at time i
Value
A numeric vector of weights for sparse AUC calculations the same
length as sparse_pk
See Also
Other Sparse Methods:
as_sparse_pk(),
pk.calc.sparse_auc(),
sparse_mean()
PKNCA documentation built on Aug. 21, 2025, 6 p.m.
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| sparse_auc_weight_linear | R Documentation |
Calculate the weight for sparse AUC calculation with the linear-trapezoidal rule
Description
The weight is used as the w_i parameter in pk.calc.sparse_auc()
Usage
sparse_auc_weight_linear(sparse_pk)
Arguments
sparse_pk |
A sparse_pk object from |
Details
w_i = \frac{\delta_{time,i-1,i} + \delta_{time,i,i+1}}{2}
\delta_{time,i,i+1} = t_{i+1} - t_i
Where:
w_iis the weight at time i
\delta_{time,i-1,i}and\delta_{time,i,i+1}are the changes between time i-1 and i or i and i+1 (zero outside of the time range)
t_iis the time at time i
Value
A numeric vector of weights for sparse AUC calculations the same
length as sparse_pk
See Also
Other Sparse Methods:
as_sparse_pk(),
pk.calc.sparse_auc(),
sparse_mean()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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