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install.packages('surveillance')
"epidataCS"
"sts"
-- surveillance time series"hhh4"
ObjectstwinSIR
or twinstim
"SpatialPolygons"
twinSIR
Modelssts
which
allows the user to store the results of back-projecting or nowcasting
surveillance time serieshhh4
-modelshhh4
Modelupdate
-method for "twinstim"
twimstim
"twinstim"
"gpc.poly"
Polygontwinstim
as a Poisson-glm
hhh4
-Modelsalgo.hhh.grid
"epidataCS"
to "epidata"
or "sts"
"hhh4"
Modelsupdate
a fitted "hhh4"
model"gpc.poly"
Polygonsts
wrapping observations, monitoring results and
date handling for multivariate time series.
A recent overview of the available monitoring procedures is
given by Salmon et al. (2016).
For the retrospective analysis of epidemic spread, the package
provides three endemic-epidemic modeling frameworks with
tools for visualization, likelihood inference, and simulation.
The function hhh4
offers inference methods for the
(multivariate) count time series models of Held et al. (2005), Paul et
al. (2008), Paul and Held (2011), Held and Paul (2012), and Meyer and
Held (2014). See vignette("hhh4")
for a general introduction
and vignette("hhh4_spacetime")
for a discussion and
illustration of spatial hhh4
models.
Furthermore, the fully Bayesian approach for univariate
time series of counts from Held et al. (2006) is implemented as
function algo.twins
.
Self-exciting point processes are modeled through endemic-epidemic
conditional intensity functions.
twinSIR
(Hvignette("twinSIR")
for an illustration.
twinstim
(Meyer et al., 2012) fits spatio-temporal point
process models to point patterns of infective events, e.g.,
time-stamped geo-referenced surveillance data on infectious disease
occurrence; see vignette("twinstim")
for an illustration.
A recent overview of the implemented space-time modeling frameworks
for epidemic phenomena is given by Meyer et al. (2016).toLatex
-Method for "sts"
Objects"sts"
Objects"hhh4"
Count Time Serieshhh4
Models"sts"
Objects"sts"
Objects"epidataCS"
"sts"
slotsspplot
hhh4
Modellapply
"epidata"
Objects"SpatialPolygons"
twinSIR
twinstim
's"twinSIR"
Objects"sts"
Object Over Time or Across Unitssts
which
allows the user to store the results of back-projecting
surveillance time series"twinstim"
Objectstwinstim
twinstim
objects