Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena

Vignettes

- algo.glrnb: Count data regression charts using the generalized likelihood ratio statistic
- Getting started with outbreak detection
- hhh4: An endemic-epidemic modelling framework for infectious disease counts
- hhh4 (spatio-temporal): Endemic-epidemic modeling of areal count time series
- Monitoring count time series in R: Aberration detection in public health surveillance
- twinSIR: Individual-level epidemic modeling for a fixed population with known distances
- twinstim: An endemic-epidemic modeling framework for spatio-temporal point patterns

193

**anscombe.residuals:**Compute Anscombe Residuals**hagelloch:**1861 Measles Epidemic in the City of Hagelloch, Germany**hhh4_W:**Power-Law and Nonparametric Neighbourhood Weights for...**imdepi:**Occurrence of Invasive Meningococcal Disease in Germany**inside.gpc.poly:**Test Whether Points are Inside a '"gpc.poly"' Polygon**ks.plot.unif:**Plot the ECDF of a uniform sample with Kolmogorov-Smirnov...**plapply:**Verbose and Parallel 'lapply'**poly2adjmat:**Derive Adjacency Structure of '"SpatialPolygons"'**runifdisc:**Sample Points Uniformly on a Disc**stK:**Diggle et al (1995) K-function test for space-time clustering**Browse all...**

Related packages

This is data, which is used in `twinSIR`

examples.

`fooepidata`

is an object of class `"epidata"`

simulated from
artificial `foodata`

. `foofit`

is an object of class
`"twinSIR"`

and is the result of a fit to `fooepidata`

.

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surveillance documentation built on July 25, 2018, 1:01 a.m.

algo.glrnb: Count data regression charts using the generalized likelihood ratio statistic
Getting started with outbreak detection
hhh4: An endemic-epidemic modelling framework for infectious disease counts
hhh4 (spatio-temporal): Endemic-epidemic modeling of areal count time series
Monitoring count time series in R: Aberration detection in public health surveillance
twinSIR: Individual-level epidemic modeling for a fixed population with known distances
twinstim: An endemic-epidemic modeling framework for spatio-temporal point patterns

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