getSegmentProb: (Internal) Convert a theta distribution to segment-wise...
In choi-phd/TestDesign: Optimal Test Design Approach to Fixed and Adaptive Test Construction
View source: R/bayes_functions.R
getSegmentProb R Documentation
(Internal) Convert a theta distribution to segment-wise classification probabilities
Description
getSegmentProb is an internal function for
converting a theta distribution to segment-wise classification probabilities
This is used for BIGM-BAYESIAN exposure control.
Usage
getSegmentProb(posterior_sample, simulation_constants)
Arguments
posterior_sample
a vector containing values in a Markov chain.
simulation_constants
a named list containing simulation constants.
Value
getSegmentProb returns a vector of segment-wise classification probabilities.
choi-phd/TestDesign documentation built on Oct. 1, 2024, 2:37 a.m.
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View source: R/bayes_functions.R
| getSegmentProb | R Documentation |
(Internal) Convert a theta distribution to segment-wise classification probabilities
Description
getSegmentProb is an internal function for
converting a theta distribution to segment-wise classification probabilities
This is used for BIGM-BAYESIAN exposure control.
Usage
getSegmentProb(posterior_sample, simulation_constants)
Arguments
posterior_sample |
a vector containing values in a Markov chain. |
simulation_constants |
a named list containing simulation constants. |
Value
getSegmentProb returns a vector of segment-wise classification probabilities.
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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