Computes likelihoods for spinner outcomes

dspinner(x, Prob)

Arguments

x

vector of spinner observations

Prob

matrix of spinner probabilities where each row corresponds to a different spinner

Value

column vector consisting of the likelihoods for the different spinners

Examples

Prob <- matrix(c(.25, .25, .25, .25, .50, .125, .125, .5, .25, .5, .25, 0), 3, 4, byrow=TRUE) obs <- c(1, 2, 1, 3, 4) dspinner(obs, Prob)
#> [,1] #> [1,] 0.0009765625 #> [2,] 0.0019531250 #> [3,] 0.0000000000