Description Usage Arguments Examples
View source: R/sf_posterior_density.R
This calculates the posterior density function.
1 2 3 4 5 6 7 8 9 10 | sf_posterior_density(
THETAi,
Yi,
MUi,
SIGMA_SQi,
DELTA,
ALPHA,
J,
weight = NULL
)
|
THETAi |
Scalar representing scaled score for the i-th individual. |
Yi |
Size N vector of item responses for the i-th individual. |
MUi |
Scalar representing prior's mean conditional on AGE. |
SIGMA_SQi |
Scalar represeting prior variance conditional on AGE. |
DELTA |
Size J vector of item difficulties. |
ALPHA |
Size J vector of item discrimination values. |
J |
Number of items. |
weight |
Size J vector of weights for Bayesian Bootstrapping. |
1 | sf_posterior_density(THETAi, Yi, MUi, SIGMA_SQi, DELTA, ALPHA,J)
|
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