dacca | R Documentation |
dacca
constructs a ‘pomp’ object containing census and cholera
mortality data from the Dacca district of the former British province of
Bengal over the years 1891 to 1940 together with a stochastic differential
equation transmission model.
The model is that of King et al. (2008).
The parameters are the MLE for the SIRS model with seasonal reservoir.
dacca(
gamma = 20.8,
eps = 19.1,
rho = 0,
delta = 0.02,
deltaI = 0.06,
clin = 1,
alpha = 1,
beta_trend = -0.00498,
logbeta = c(0.747, 6.38, -3.44, 4.23, 3.33, 4.55),
logomega = log(c(0.184, 0.0786, 0.0584, 0.00917, 0.000208, 0.0124)),
sd_beta = 3.13,
tau = 0.23,
S_0 = 0.621,
I_0 = 0.378,
Y_0 = 0,
R1_0 = 0.000843,
R2_0 = 0.000972,
R3_0 = 1.16e-07
)
gamma |
recovery rate |
eps |
rate of waning of immunity for severe infections |
rho |
rate of waning of immunity for inapparent infections |
delta |
baseline mortality rate |
deltaI |
cholera mortality rate |
clin |
fraction of infections that lead to severe infection |
alpha |
transmission function exponent |
beta_trend |
slope of secular trend in transmission |
logbeta |
seasonal transmission rates |
logomega |
seasonal environmental reservoir parameters |
sd_beta |
environmental noise intensity |
tau |
measurement error s.d. |
S_0 |
initial susceptible fraction |
I_0 |
initial fraction of population infected |
Y_0 |
initial fraction of the population in the Y class |
R1_0 , R2_0 , R3_0 |
initial fractions in the respective R classes |
Data are provided courtesy of Dr. Menno J. Bouma, London School of Tropical Medicine and Hygiene.
dacca
returns a ‘pomp’ object containing the model, data, and MLE
parameters, as estimated by King et al. (2008).
2008
More examples provided with pomp:
blowflies
,
childhood_disease_data
,
compartmental_models
,
ebola
,
gompertz()
,
ou2()
,
pomp_examples
,
ricker()
,
rw2()
,
verhulst()
More data sets provided with pomp:
blowflies
,
bsflu
,
childhood_disease_data
,
ebola
,
parus
# takes too long for R CMD check
po <- dacca()
plot(po)
## MLE:
coef(po)
plot(simulate(po))
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.