Class "NpdeRes"
The results component of a NpdeObject object
a dataframe containing the results. Columns include id (group), xobs (observed X), yobs (observed Y), cens (indicator for censored data), as well as the actual results: ypred (model population predictions), pd (prediction discrepancies), npde (normalised prediction distribution errors), ycomp (completed data), ydobs (decorrelated observed data).
number of subjects
total number of non-missing observations
a vector giving the probability that a given observation is LOQ, according to the model
index of (non-missing) censored observations
a vector of boolean indicating for each observation whether it is missing (FALSE) or available (TRUE)
pd computed for a number of simulated datasets (optional, used to obtain prediction intervals on the distribution of pd)
npde computed for a number of simulated datasets (optional, used to obtain prediction intervals on the distribution of npde)
Prints a summary of object npde.res
Prints a short summary of object npde.res
Prints a detailed summary of object npde.res
Plots the data in npde.res. More details can be found in plot.NpdeRes
Returns a summary of object npde.res in list format
Returns goodness-of-fit tests
methods(class="NpdeRes") showClass("NpdeRes")
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