Outbreak detection algorithms for surveillance data


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Documentation for package `surveillance' version 0.9-2

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aggregate.disProg Aggregate the observed counts
algo.bayes The Bayes System
algo.bayes1 The Bayes System
algo.bayes2 The Bayes System
algo.bayes3 The Bayes System
algo.bayesLatestTimepoint The Bayes System
algo.call Query Transmission to Specified Surveillance Systems
algo.cdc The CDC Algorithm
algo.cdcLatestTimepoint The CDC Algorithm
algo.compare Comparison of Specified Surveillance Systems using Quality Values
algo.cusum CUSUM method
algo.farrington Surveillance for a time series using the Farrington procedure.
algo.farrington.assign.weights Assign weights to base counts
algo.farrington.fitGLM Fit the Poisson GLM of the Farrington procedure for a single time point
algo.farrington.threshold Threshold computations using a two sided confidence interval
algo.hhh Model fit based on the Held, Höhle, Hofmann paper
algo.hhh.grid Function to try multiple starting values
algo.quality Computation of Quality Values for a Surveillance System Result
algo.rki The system used at the RKI
algo.rki1 The system used at the RKI
algo.rki2 The system used at the RKI
algo.rki3 The system used at the RKI
algo.rkiLatestTimepoint The system used at the RKI
algo.summary Summary Table Generation for Several Disease Chains
anscombe.residuals Compute Anscombe residuals
bestCombination Partition of a number into two factors
CIdata Confidence-Interval for the Mean of the Poisson Distribution
compMatrix.writeTable Latex Table Generation
correct53to52 Data Correction from 53 to 52 weeks
create.disProg Creating an object of class disProg
create.grid Computes a matrix of initial values
enlargeData Data Enlargement
find.kh Determine the k and h values in a standard normal setting
h1_nrwrp RKI SurvStat Data
ha Hepatitis A in Berlin
k1 RKI SurvStat Data
loglikelihood Calculation of the loglikelihood needed in algo.hhh
m1 RKI SurvStat Data
m2 RKI SurvStat Data
m3 RKI SurvStat Data
m4 RKI SurvStat Data
m5 RKI SurvStat Data
magic.dim Returns a suitable k1 x k2 for plotting the disProgObj
make.design Create the design matrices
makePlot Plot Generation
meanResponse Calculate mean response needed in algo.hhh
measels.weser Measels epidemics in Lower Saxony in 2001-2002
meningo.age Meningococcal infections in France 1985-1995
n1 RKI SurvStat Data
n2 RKI SurvStat Data
plot.disProg Plot Generation of the Observed and the defined Outbreak States of a (multivariate) time series
plot.survRes Plot a survRes object
primeFactors Prime number factorization
print.ah Model fit based on the Held, Höhle, Hofmann paper
print.ahg Function to try multiple starting values
print.algoQV Print quality value object
q1_nrwh RKI SurvStat Data
q2 RKI SurvStat Data
readData Reading of Disease Data
s1 RKI SurvStat Data
s2 RKI SurvStat Data
s3 RKI SurvStat Data
salmonella.agona Salmonella Agona cases in the UK 1990-1995
sim.pointSource Generation of Simulated Point Source Epidemy
sim.seasonalNoise Generation of Background Noise for Simulated Timeseries
sumNeighbours Calculates the sum of counts of adjacent areas
test Print xtable for several diseases and the summary
testSim Print xtable for a Simulated Disease and the Summary
toFileDisProg Writing of Disease Data
xtable.algoQV Xtable quality value object