first_cut_prob: Probability calculation as part of the MH-within-Gibbs step...
In nickseedorff/bmrarm: Bayesian Mixed Response Autoregressive Models
View source: R/bmrarm_helper_functions.R
first_cut_prob R Documentation
Probability calculation as part of the MH-within-Gibbs step (Cowles' algorithm)
Description
Probability calculation as part of the MH-within-Gibbs step (Cowles' algorithm)
Usage
first_cut_prob(samp_info, cuts, cuts_tmp)
Arguments
samp_info
vector of proposed current cutpoints
cuts
vector of current cutpoints
nickseedorff/bmrarm documentation built on April 17, 2025, 9:43 p.m.
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View source: R/bmrarm_helper_functions.R
| first_cut_prob | R Documentation |
Probability calculation as part of the MH-within-Gibbs step (Cowles' algorithm)
Description
Probability calculation as part of the MH-within-Gibbs step (Cowles' algorithm)
Usage
first_cut_prob(samp_info, cuts, cuts_tmp)
Arguments
samp_info |
vector of proposed current cutpoints |
cuts |
vector of current cutpoints |
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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