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stsNC-class

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


Description

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

Methods

The methods are the same as for "sts".

  • signature(from = "sts", to = "stsNC") Convert an object of class sts to class stsNC.

  • reportingTrianglesignature(x = "stsNC"): extract the reportingTriangle slot of an stsNC object.

  • delayCDFsignature(x = "stsNC"): extract the delayCDF slot of an stsNC object.

  • scoresignature(x = "stsNC"): extract the scoring rules result slot of an stsNC object.

  • predintsignature(x = "stsNC"): extract the prediction interval slot of an stsNC object.

Author(s)

M. Höhle


surveillance

Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena

v1.19.1
GPL-2
Authors
Michael H<f6>hle [aut, ths] (<https://orcid.org/0000-0002-0423-6702>), Sebastian Meyer [aut, cre] (<https://orcid.org/0000-0002-1791-9449>), Michaela Paul [aut], Leonhard Held [ctb, ths], Howard Burkom [ctb], Thais Correa [ctb], Mathias Hofmann [ctb], Christian Lang [ctb], Juliane Manitz [ctb], Andrea Riebler [ctb], Daniel Saban<e9>s Bov<e9> [ctb], Ma<eb>lle Salmon [ctb], Dirk Schumacher [ctb], Stefan Steiner [ctb], Mikko Virtanen [ctb], Wei Wei [ctb], Valentin Wimmer [ctb], R Core Team [ctb] (A few code segments are modified versions of code from base R)
Initial release
2021-03-30

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