testSim {surveillance} | R Documentation |
Just a test method.
testSim(p = 0.99, r = 0.01, length = 400, A = 1, alpha = 1, beta = 0, phi = 0, frequency = 1, state = NULL, K, range = 200:400)
p |
probability to get a new epidemy at time i if there was one at time i-1, default 0.99 |
r |
probability to get no new epidemy at time i if there was none at time i-1, default 0.01 |
length |
number of weeks to model, default 400 |
A |
amplitude (range of sinus), default = 1 |
alpha |
parameter to move along the y-axis (negative values not allowed) with alpha > = A, default = 1 |
beta |
regression coefficient, default = 0 |
phi |
factor to create seasonal moves (moves the curve along the x-axis), default = 0 |
frequency |
factor to determine the oscillation-frequency, default = 1 |
state |
use a state chain to define the status at this timepoint (outbreak or not). If not given a Markov chain is generated by the programme, default NULL |
K |
additional weigth for an outbreak which influences the distribution parameter mu, default = 0 |
range |
range of timepoints to be evaluated by the RKI 1 system, default 200:400. |
A pointSource epidemy is generated and sent to the RKI 1 system, the quality values for the result are computed and shown as a latex table. Additionally a plot of the result is generated.
xtable |
one printed latex table and a result plot |
M. Höhle, A. Riebler, C. Lang
sim.pointSource
, algo.call
, algo.compare
,
plot.survRes
, compMatrix.writeTable
testSim(K = 2) testSim(r = 0.5, K = 5)