Geweke_Z: Geweke diagnostic for MCMC sampling.
In davismcc/cardelino: Clone Identification from Single Cell Data
Geweke_Z R Documentation
Geweke diagnostic for MCMC sampling.
Description
Geweke diagnostic for MCMC sampling.
Usage
Geweke_Z(X, first = 0.1, last = 0.5)
Arguments
X
A matrix of MCMC samples for N samples per K variables
first
A float between 0 and 1. The initial region of MCMC chain.
last
A float between 0 and 1. The final region of MCMC chain.
Value
Z, a vector of absolute value of Z scores for each variable.
When |Z| <= 2, the sampling could be taken as converged.
Author(s)
Yuanhua Huang
davismcc/cardelino documentation built on Nov. 19, 2022, 2:44 a.m.
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| Geweke_Z | R Documentation |
Geweke diagnostic for MCMC sampling.
Description
Geweke diagnostic for MCMC sampling.
Usage
Geweke_Z(X, first = 0.1, last = 0.5)
Arguments
X |
A matrix of MCMC samples for N samples per K variables |
first |
A float between 0 and 1. The initial region of MCMC chain. |
last |
A float between 0 and 1. The final region of MCMC chain. |
Value
Z, a vector of absolute value of Z scores for each variable.
When |Z| <= 2, the sampling could be taken as converged.
Author(s)
Yuanhua Huang
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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