dspinner: Computes likelihoods for spinner outcomes

In TeachBayes: Teaching Bayesian Inference

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)
  obs <- c(1, 2, 1, 3, 4)
  dspinner(obs, Prob)

TeachBayes documentation built on May 1, 2019, 9:17 p.m.