generateSampleFromPriorPar: (Internal) Generate random theta samples from prior...
In choi-phd/TestDesign: Optimal Test Design Approach to Fixed and Adaptive Test Construction
View source: R/bayes_functions.R
generateSampleFromPriorPar R Documentation
(Internal) Generate random theta samples from prior distribution
Description
generateSampleFromPriorPar is an internal function for
generating random theta samples from prior distribution.
Usage
generateSampleFromPriorPar(config_theta, j, bayesian_constants)
Arguments
config_theta
a named list containing theta estimation configurations.
j
the examinee index to perform the sample generation.
bayesian_constants
a named list containing Bayesian constants.
Value
generateSampleFromPriorPar returns n_sample theta samples.
choi-phd/TestDesign documentation built on Oct. 1, 2024, 2:37 a.m.
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View source: R/bayes_functions.R
| generateSampleFromPriorPar | R Documentation |
(Internal) Generate random theta samples from prior distribution
Description
generateSampleFromPriorPar is an internal function for
generating random theta samples from prior distribution.
Usage
generateSampleFromPriorPar(config_theta, j, bayesian_constants)
Arguments
config_theta |
a named list containing theta estimation configurations. |
j |
the examinee index to perform the sample generation. |
bayesian_constants |
a named list containing Bayesian constants. |
Value
generateSampleFromPriorPar returns n_sample theta samples.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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