Class "stsNC" -- a class inheriting from class sts which allows the user to store the results of back-projecting surveillance time series

A class inheriting from class sts, but with additional slots to store the results of nowcasting.

Slots

The slots are as for "sts". However, a number of additional slots exists.

reportingTriangle:: An array containing the upper and lower limit of the confidence interval.
predPMF:: Predictive distribution for each nowcasted time point.
pi:: A prediction interval for each nowcasted time point. This is calculated based on predPMF.
truth:: An object of type sts containing the true number of cases.
delayCDF:: List with the CDF of the estimated delay distribution for each method.
SR:: Possible output of proper scoring rules

The methods are the same as for "sts".

coerce: signature(from = "sts", to = "stsNC"): convert an object of class sts to class stsNC.
reportingTriangle: signature(x = "stsNC"): extract the reportingTriangle slot of an stsNC object.
delayCDF: signature(x = "stsNC"): extract the delayCDF slot of an stsNC object.
score: signature(x = "stsNC"): extract the scoring rules result slot of an stsNC object.
predint: signature(x = "stsNC"): extract the prediction interval slot of an stsNC object.

M. Höhle