dspinner: Computes likelihoods for spinner outcomes

In ProbBayes: Probability and Bayesian Modeling

Description

Computes likelihoods for spinner outcomes

Usage

  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

Author(s)

Jim Albert

Examples

  Prob <- matrix(c(.25, .25, .25, .25,
                   .50, .125, .125, .5,
                   .25, .5, .25, 0), 3, 4, byrow=TRUE)
  x <- c(1, 2, 1, 3, 4)
  dspinner(x, Prob)

ProbBayes documentation built on March 13, 2020, 1:31 a.m.