generateDensityFromPriorPar: (Internal) Convert prior parameters to distribution densities
In TestDesign: Optimal Test Design Approach to Fixed and Adaptive Test Construction
View source: R/bayes_functions.R
generateDensityFromPriorPar R Documentation
(Internal) Convert prior parameters to distribution densities
Description
generateDensityFromPriorPar is an internal function for converting prior parameters to distribution densities.
Usage
generateDensityFromPriorPar(config_theta, theta_q)
Arguments
config_theta
a list containing theta estimation configurations.
theta_q
a list containing all quadrature points.
Value
parsePriorParameters returns a named list containing:
prior_distthe type of distribution. One of NORMAL, UNIFORM, RAW.
prior_paran examinee-wise list containing prior parameters.
TestDesign documentation built on Sept. 11, 2024, 7:12 p.m.
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View source: R/bayes_functions.R
| generateDensityFromPriorPar | R Documentation |
(Internal) Convert prior parameters to distribution densities
Description
generateDensityFromPriorPar is an internal function for converting prior parameters to distribution densities.
Usage
generateDensityFromPriorPar(config_theta, theta_q)
Arguments
config_theta |
a list containing theta estimation configurations. |
theta_q |
a list containing all quadrature points. |
Value
parsePriorParameters returns a named list containing:
prior_distthe type of distribution. One of
NORMAL, UNIFORM, RAW.prior_paran examinee-wise list containing prior parameters.
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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