Number of function evaluations to use for integration: 25 The data points: 0 1 1 0 1 0 0 2 0 1 Number of data points: 10 Sum of data points: 6 Mean of data points: 0.6 Probability of a zero using mean for lambda: 0.5488116 Normalizing constant for posterior: 0.1883980 Posterior mean for theta: -0.4986789 Probability that theta is positive: 0.09098135 Predictive probability of a zero: 0.5355188 Number of function evaluations to use for integration: 50 The data points: 0 1 1 0 1 0 0 2 0 1 Number of data points: 10 Sum of data points: 6 Mean of data points: 0.6 Probability of a zero using mean for lambda: 0.5488116 Normalizing constant for posterior: 0.1883980 Posterior mean for theta: -0.4986789 Probability that theta is positive: 0.09134915 Predictive probability of a zero: 0.5355188 Number of function evaluations to use for integration: 100 The data points: 0 1 1 0 1 0 0 2 0 1 Number of data points: 10 Sum of data points: 6 Mean of data points: 0.6 Probability of a zero using mean for lambda: 0.5488116 Normalizing constant for posterior: 0.1883980 Posterior mean for theta: -0.4986789 Probability that theta is positive: 0.0914409 Predictive probability of a zero: 0.5355188 Number of function evaluations to use for integration: 25 The data points: 5 8 5 5 4 8 6 6 4 6 3 8 1 3 7 7 4 8 5 7 Number of data points: 20 Sum of data points: 110 Mean of data points: 5.5 Probability of a zero using mean for lambda: 0.004086771 Normalizing constant for posterior: 0.04328819 Posterior mean for theta: 1.746717 Probability that theta is positive: 1.177614 Predictive probability of a zero: 0.004067922 Number of function evaluations to use for integration: 50 The data points: 5 8 5 5 4 8 6 6 4 6 3 8 1 3 7 7 4 8 5 7 Number of data points: 20 Sum of data points: 110 Mean of data points: 5.5 Probability of a zero using mean for lambda: 0.004086771 Normalizing constant for posterior: 0.05097679 Posterior mean for theta: 1.695917 Probability that theta is positive: 0.9979963 Predictive probability of a zero: 0.004761541 Number of function evaluations to use for integration: 100 The data points: 5 8 5 5 4 8 6 6 4 6 3 8 1 3 7 7 4 8 5 7 Number of data points: 20 Sum of data points: 110 Mean of data points: 5.5 Probability of a zero using mean for lambda: 0.004086771 Normalizing constant for posterior: 0.05087465 Posterior mean for theta: 1.696163 Probability that theta is positive: 1 Predictive probability of a zero: 0.004767927