Description Usage Arguments Value Examples
The (posterior) marginal distribution of X equals the integral of the conditional distribution of X given theta, uniform over [-theta, theta], weighted by the (posterior) distribution of theta, a mixture of Gammas. The function fun_integ explicitly computes the integrand as a function of theta.
1 |
x |
a number (vector) specifies the value of the domain argument. |
pi |
a vector containing the component probabilities of the Gammas |
shape, |
rate numeric vectors corresponding to shape and rate parameters of Gammas |
The (posterior) marginal distribution of X (over theta) at the input parameter x.
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