psr: Calculating the PSR of the LERCA fit.
In gpapadog/LERCA: Local Exposure-Response Confounding Adjustment
Description
Usage
Arguments
Value
Description
Based on the posterior samples of the mean ER estimates, calculate the
potential scale reduction factor to assess MCMC convergence.
Usage
1
psr(samples)
Arguments
samples
Matrix. Rows and columns correspond to iterations and chains
accordingly.
Value
Numeric. Estimate of the potential scale reduction factor. Values
close to 1 indicate MCMC convergence.
gpapadog/LERCA documentation built on June 4, 2019, 11:40 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
Based on the posterior samples of the mean ER estimates, calculate the potential scale reduction factor to assess MCMC convergence.
Usage
1 | psr(samples)
|
Arguments
samples |
Matrix. Rows and columns correspond to iterations and chains accordingly. |
Value
Numeric. Estimate of the potential scale reduction factor. Values close to 1 indicate MCMC convergence.
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.