UPG.Diag.Logit: MCMC Diagnostics for 'UPG.Logit' objects
In UPG: Efficient Bayesian Algorithms for Binary and Categorical Data Regression Models
UPG.Diag.Logit R Documentation
MCMC Diagnostics for UPG.Logit objects
Description
UPG.Diag.Logit computes inefficiency factors, effective sample size and effective sampling rate based on the posterior distributions in a UPG.Logit object.
Usage
UPG.Diag.Logit(object = NULL)
Arguments
object
an object of class UPG.Logit.
Value
Returns a list containing effective sample size, effective sampling rate and inefficiency factors for each coefficient.
Author(s)
Gregor Zens
UPG documentation built on Nov. 4, 2023, 5:06 p.m.
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| UPG.Diag.Logit | R Documentation |
MCMC Diagnostics for UPG.Logit objects
Description
UPG.Diag.Logit computes inefficiency factors, effective sample size and effective sampling rate based on the posterior distributions in a UPG.Logit object.
Usage
UPG.Diag.Logit(object = NULL)
Arguments
object |
an object of class |
Value
Returns a list containing effective sample size, effective sampling rate and inefficiency factors for each coefficient.
Author(s)
Gregor Zens
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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