unifprior {SIRmcmc} | R Documentation |
A uniform prior on the model parameters
Description
Compute a uniform prior on alpha, beta, gamma, and epsilon
Usage
unifprior(alpha, beta, gamma, epsilon, esteps, UB = 1000, LB = 0.01)
Arguments
alpha |
A number compared to the upper bound UB and the lower bound LB. |
beta |
A number compared to the upper bound UB and the lower bound LB. |
gamma |
A number compared to the upper bound UB and the lower bound LB. |
epsilon |
A number compared to the upper bound UB and the lower bound LB. |
esteps |
A number in (0,1). Used for logic as to whether to compute the prior probability of epsilon (1) or not (0). |
UB |
A number used as an upper bound on the model parameters. |
LB |
A number used as a lower bound on the model parameters. |
Value
If all the model parameters are between the lower bound and the upper bound, then unifprior returns 1. Otherwise, unifprior returns 0.
See Also
dlogis
dgamma
household_transmission
prior
[Package SIRmcmc version 1.1.1 Index]