Compute Posterior Predictive P-Values
Computes posterior predictive p-values to test model fit.
PPP(fittedModel, M = 1000, nCPU = 4, T2 = TRUE, type = "X2")
fittedModel |
|
M |
number of posterior predictive samples. As a maximum, the number of posterior samples in |
nCPU |
number of CPUs used for parallel sampling. For large models and many participants, this requires considerable computer-memory resources (as a remedy, use |
T2 |
whether to compute T2 statistic to check coveriance structure (can take a lot of time). If some participants do not have responses for some trees, (co)variances are computed by pairwise deletion of the corresponding persons. |
type |
whether the T1 statistic of expected means is computed using Person's |
Daniel Heck
Klauer, K. C. (2010). Hierarchical multinomial processing tree models: A latent-trait approach. Psychometrika, 75, 70-98.
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