Code
unclass(summary(mcmc_res1))
Output
$call
mem_mcmc(responses = vemu_wide1$responders, size = vemu_wide1$evaluable,
name = vemu_wide1$baskets, p0 = 0.15, mcmc_iter = 100, mcmc_burnin = 100,
cluster_analysis = TRUE)
$basket
The Null Response Rates (alternative is greater):
NSCLC ECD or LCH ATC
Null 0.15 0.15 0.150
Posterior Prob 1.00 1.00 0.996
Posterior Mean and Median Response Rates:
NSCLC ECD or LCH ATC
Mean 0.405 0.405 0.397
Median 0.404 0.403 0.397
Highest Posterior Density Interval with Coverage Probability 0.95:
NSCLC ECD or LCH ATC
Lower Bound 0.250 0.253 0.233
Upper Bound 0.556 0.556 0.563
Posterior Effective Sample Size:
NSCLC ECD or LCH ATC
38.34 38.766 32.36
$cluster
Cluster 1
"NSCLC" "ECD or LCH" "ATC"
The Null Response Rates (alternative is greater):
Cluster 1
Posterior for null of 0.15 0.999
Posterior Mean and Median Response Rates:
Cluster 1
Mean 0.402
Median 0.401
Highest Posterior Density Interval with Coverage Probability 0.95:
Cluster 1
Lower Bound 0.248
Upper Bound 0.561
Posterior Effective Sample Size:
Cluster 1
36.304
Code
summary(mem_mcmc(responses = c(4, 3, 0), size = c(10, 3, 0), name = letters[1:3],
cluster_analysis = TRUE, mcmc_iter = 100, mcmc_burnin = 100, p0 = 0.25))
Output
-- The MEM Model Call ----------------------------------------------------------
mem_mcmc(responses = c(4, 3, 0), size = c(10, 3, 0), name = letters[1:3],
p0 = 0.25, mcmc_iter = 100, mcmc_burnin = 100, cluster_analysis = TRUE)
-- The Basket Summary ----------------------------------------------------------
The Null Response Rates (alternative is greater):
a b c
Null 0.250 0.250 0.250
Posterior Prob 0.867 0.997 0.852
Posterior Mean and Median Response Rates:
a b c
Mean 0.414 0.862 0.602
Median 0.408 0.927 0.603
Highest Posterior Density Interval with Coverage Probability 0.95:
a b c
Lower Bound 0.148 0.51 0.056
Upper Bound 0.694 1.00 1.000
Posterior Effective Sample Size:
a b c
11.042 5.602 1.947
-- The Cluster Summary ---------------------------------------------------------
Cluster 1
"a"
Cluster 2
"b"
Cluster 3
"c"
The Null Response Rates (alternative is greater):
Cluster 1 Cluster 2 Cluster 3
Posterior for null of 0.25 0.867 0.997 0.852
Posterior Mean and Median Response Rates:
Cluster 1 Cluster 2 Cluster 3
Mean 0.414 0.862 0.602
Median 0.408 0.927 0.603
Highest Posterior Density Interval with Coverage Probability 0.95:
Cluster 1 Cluster 2 Cluster 3
Lower Bound 0.148 0.51 0.056
Upper Bound 0.694 1.00 1.000
Posterior Effective Sample Size:
Cluster 1 Cluster 2 Cluster 3
11.042 5.602 1.947
Code
summary(mem_mcmc(responses = c(4, 3), size = c(10, 3), name = letters[1:2],
cluster_analysis = TRUE, mcmc_iter = 100, mcmc_burnin = 100, p0 = 0.25))
Output
-- The MEM Model Call ----------------------------------------------------------
mem_mcmc(responses = c(4, 3), size = c(10, 3), name = letters[1:2],
p0 = 0.25, mcmc_iter = 100, mcmc_burnin = 100, cluster_analysis = TRUE)
-- The Basket Summary ----------------------------------------------------------
The Null Response Rates (alternative is greater):
a b
Null 0.250 0.250
Posterior Prob 0.871 0.997
Posterior Mean and Median Response Rates:
a b
Mean 0.417 0.851
Median 0.412 0.921
Highest Posterior Density Interval with Coverage Probability 0.95:
a b
Lower Bound 0.146 0.483
Upper Bound 0.695 1.000
Posterior Effective Sample Size:
a b
10.916 5.321
-- The Cluster Summary ---------------------------------------------------------
Cluster 1
"a"
Cluster 2
"b"
The Null Response Rates (alternative is greater):
Cluster 1 Cluster 2
Posterior for null of 0.25 0.871 0.997
Posterior Mean and Median Response Rates:
Cluster 1 Cluster 2
Mean 0.417 0.851
Median 0.412 0.921
Highest Posterior Density Interval with Coverage Probability 0.95:
Cluster 1 Cluster 2
Lower Bound 0.146 0.483
Upper Bound 0.695 1.000
Posterior Effective Sample Size:
Cluster 1 Cluster 2
10.916 5.321
Code
summary(mem_mcmc(responses = c(4, 3), size = c(10, 3), name = letters[1:2],
cluster_analysis = FALSE, mcmc_iter = 100, mcmc_burnin = 100, p0 = 0.25))
Output
-- The MEM Model Call ----------------------------------------------------------
mem_mcmc(responses = c(4, 3), size = c(10, 3), name = letters[1:2],
p0 = 0.25, mcmc_iter = 100, mcmc_burnin = 100, cluster_analysis = FALSE)
-- The Basket Summary ----------------------------------------------------------
The Null Response Rates (alternative is greater):
a b
Null 0.250 0.250
Posterior Prob 0.871 0.997
Posterior Mean and Median Response Rates:
a b
Mean 0.417 0.851
Median 0.412 0.921
Highest Posterior Density Interval with Coverage Probability 0.95:
a b
Lower Bound 0.146 0.483
Upper Bound 0.695 1.000
Posterior Effective Sample Size:
a b
10.916 5.321
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