thresh {bayess} R Documentation

## 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

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