prior: Compute prior probability of parameters

In SIRmcmc: Compartmental Susceptible-Infectious-Recovered (SIR) Model of Community and Household Infection

Compute prior probability of parameters

Description

Compute the prior probability of alpha, beta, gamma, and epsilon

Usage

prior(alpha, beta, gamma, epsilon, esteps, params = list(alpha =
      list(location = 0, scale = 2), beta = list(shape = 0.01, rate = 0.01),
      gamma = list(shape = 0.01, rate = 0.01),
      epsilon = list(location = 0, scale = 2)))

Arguments

alpha	A number. The logarithm of alpha follows a logistic distribution.
beta	A number. beta follows a gammadistribution.
gamma	A number. gamma follows a gamma distribution.
epsilon	A number. The logarithm of epsilon follows a logistic distribution.
esteps	A number in (0,1). Used for logic as to whether to compute the prior probability of epsilon (1) or not (0).
params	A list of parameters for the prior distributions.

Value

A probability of the model parameters under the prior distributions.

See Also

dlogis dgamma household_transmission

SIRmcmc documentation built on May 29, 2024, 1:42 a.m.