alarms

alarms<-

upperbound

upperbound<-

control

control<-

epoch

epoch<-

observed

observed<-

population

population<-

multinomialTS

multinomialTS<-

neighbourhood

neighbourhood<-

For almost every slot of the <code>"sts"</code> class, package <pkg>surveillance</pkg>
 defines a generic function of the same name (except for the <code>population</code>
 method where the slot is actually called <code>populationFrac</code>, and
 <code>alarms</code>, where the slot is actually called <code>alarm</code>) as well as
 a replacement version (<code>&lt;-</code>) to extract or set the corresponding slot of
 a <code>sts</code> object.
 (This documentation is not really valid yet.)

methods

stsSlot-generics

A package implementing statistical methods for the modeling and
        change-point detection in time series of counts, proportions and
        categorical data, as well as for the modeling of continuous-time
        epidemic phenomena, e.g. discrete-space setups such as the spatially
        enriched Susceptible-Exposed-Infectious-Recovered (SEIR) models for
        surveillance data, or continuous-space point process data such as the
        occurrence of disease or earthquakes. Main focus is on outbreak
        detection in count data time series originating from public health
        surveillance of infectious diseases, but applications could just as well
        originate from environmetrics, reliability engineering, econometrics or
        social sciences.
        Currently the package contains implementations of typical outbreak
        detection procedures such as Stroup et. al (1989), Farrington et al
        (1996), Rossi et al (1999), Rogerson and Yamada (2001), a Bayesian
        approach, negative binomial CUSUM methods and a detector based on
        generalized likelihood ratios.
        Furthermore, inference methods for the retrospective infectious disease
        model in Held et al (2005), Held et al (2006), Paul et al (2008) and
        Paul and Held (2011) are provided. A novel CUSUM approach combining
        logistic and multinomial logistic modelling is also included.
        Continuous self-exciting spatio-temporal point processes are modeled
        through additive-multiplicative conditional intensities as described in
        H�hle (2009) ("twinSIR", discrete space) and Meyer et al (2012)
        ("twinstim", continuous space).
        The package contains several real-world datasets, the ability to
        simulate outbreak data, visualize the results of the monitoring in
        temporal, spatial or spatio-temporal fashion.

Michael Hhle

surveillance

Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic
        Phenomena

stsSlot-generics function

Generic functions to access <code>"sts"</code> slots

stsSlot-generics: Generic functions to access `"sts"` slots

Description

Arguments

See Also