compute_z_score.gmo: compute_z_score
In stan-dev/gmo: Gradient-based Marginal Optimization
Description
Usage
Arguments
Value
Description
Calculate z-score of parameter estimates from GMO using the
the true posterior mean and standard deviation (based on MCMC).
Usage
1
2
## S3 method for class 'gmo'
compute_z_score(fit.gmo, fit.stan)
Arguments
gmo_obj
A gmo object with estimated hyperparameters.
stanfit
A stanfit object with MCMC samples.
Value
For i=1,...,length(phi),
z_i = ( (phi^GMO_i - mean^MCMC(phi_i) ) / sd^MCMC(phi_i)
stan-dev/gmo documentation built on May 30, 2019, 8:45 a.m.
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.
Description Usage Arguments Value
Description
Calculate z-score of parameter estimates from GMO using the the true posterior mean and standard deviation (based on MCMC).
Usage
1 2 | ## S3 method for class 'gmo'
compute_z_score(fit.gmo, fit.stan)
|
Arguments
gmo_obj |
A gmo object with estimated hyperparameters. |
stanfit |
A stanfit object with MCMC samples. |
Value
For i=1,...,length(phi), z_i = ( (phi^GMO_i - mean^MCMC(phi_i) ) / sd^MCMC(phi_i)
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.