pi_Y_given_X: Psuedo-Marginal MCMC For Inference on Epidemic Data
In JMacDonaldPhD/Epidemics: Inference For Epidemics (one line, title case)
View source: R/Psuedo_Marginal_MCMC.R
Description
Takes multiple discrete observations of an epidemic
and the complete observation and evaluates the
pdf of observing the partial information given
the complete information.
function to simulate an epidemic with parameters theta and calculate pi(y|x)
Usage
1
pi_Y_given_X(N, Y, obs_times, initial_infective, beta, gamma)
Arguments
N,
size of complete population
Y,
observed subset of the complete epidemic data
k,
noumber of observations of epidemic
T_obs,
amount of time epidemic is observed for.
JMacDonaldPhD/Epidemics documentation built on Jan. 10, 2020, 2:48 a.m.
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View source: R/Psuedo_Marginal_MCMC.R
Description
Takes multiple discrete observations of an epidemic and the complete observation and evaluates the pdf of observing the partial information given the complete information. function to simulate an epidemic with parameters theta and calculate pi(y|x)
Usage
1 | pi_Y_given_X(N, Y, obs_times, initial_infective, beta, gamma)
|
Arguments
N, |
size of complete population |
Y, |
observed subset of the complete epidemic data |
k, |
noumber of observations of epidemic |
T_obs, |
amount of time epidemic is observed for. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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