thresh: Bound for the accept-reject algorithm in Chapter 5

In bayess: Bayesian Essentials with R

Bound for the accept-reject algorithm in Chapter 5

Description

This function is used in ardipper to determine the bound for the accept-reject algorithm simulating the non-standard conditional distribution of r_1.

Usage

thresh(k, n1, c2, c3, r2, q1)

Arguments

k	current proposal for the number of individuals vanishing between the first and second experiments
n1	first capture population size
c2	number of individuals recaptured during the second experiment
c3	number of individuals recaptured during the third experiment
r2	number of individuals vanishing between the second and third experiments
q1	probability of disappearing from the population

Details

This upper bound is equal to

\frac{{n_1-c_2 \choose k} {n_1-k \choose c_3+r_2}}{{\bar r\choose k}}

Value

numerical value of the upper bound, to be compared with the uniform random draw

See Also

ardipper

Examples

## Not run: if (runif(1) < thresh(y,n1,c2,c3,r2,q1))

bayess documentation built on Aug. 11, 2022, 5:07 p.m.