nca.npde: Calculates individual normalized prediction distribution...
In ncappc: NCA Calculations and Population Model Diagnosis
Description
Usage
Arguments
Details
Value
Description
nca.npde calculates individual normalized prediction distribution
errors (NPDE) of selected NCA metrics from the PDE data.
Usage
1
nca.npde(pdedata, pdecol)
Arguments
pdedata
A data frame containing the prediction distribution errors
(PDE) of NCA metrics
pdecol
The range of column numbers in the data frame containing the
PDE values, which will be used to calculate the corresponding NPDE
Details
nca.npde calculates individual normalized prediction distribution
errors (NPDE) of selected NCA metrics from PDE data. The The deviation of
each estimated NCA metrics is scaled by the "spread" of the simulated values.
By default, this function calculates the NPDE values of all columns of the
input data frame.
Value
returns the data frame with the NPDE values based on the input data.
ncappc documentation built on May 1, 2019, 7:31 p.m.
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Description Usage Arguments Details Value
Description
nca.npde calculates individual normalized prediction distribution errors (NPDE) of selected NCA metrics from the PDE data.
Usage
1 | nca.npde(pdedata, pdecol)
|
Arguments
pdedata |
A data frame containing the prediction distribution errors (PDE) of NCA metrics |
pdecol |
The range of column numbers in the data frame containing the PDE values, which will be used to calculate the corresponding NPDE |
Details
nca.npde calculates individual normalized prediction distribution errors (NPDE) of selected NCA metrics from PDE data. The The deviation of each estimated NCA metrics is scaled by the "spread" of the simulated values. By default, this function calculates the NPDE values of all columns of the input data frame.
Value
returns the data frame with the NPDE values based on the input data.
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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