posterior: Sets up posterior class used to store posterior samples
In JasperHG90/blm: Bayesian linear model
Description
Usage
Arguments
Value
Description
Sets up posterior class used to store posterior samples
Usage
1
Arguments
samples
posterior samples drawn using MCMC algorithm
burn
burn-in samples to be removed
accepts
vector of length (# of coefficients + 2) indicating the number of accepted draws for each coefficient (this includes sigma and the intercept). For Gibbs, this will always be equal to the number of iterations.
Value
list containing matrices of chain values (dims: iterations x coef + 1) of object posterior
JasperHG90/blm documentation built on Sept. 4, 2019, 11:16 a.m.
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Description Usage Arguments Value
Description
Sets up posterior class used to store posterior samples
Usage
1 |
Arguments
samples |
posterior samples drawn using MCMC algorithm |
burn |
burn-in samples to be removed |
accepts |
vector of length (# of coefficients + 2) indicating the number of accepted draws for each coefficient (this includes sigma and the intercept). For Gibbs, this will always be equal to the number of iterations. |
Value
list containing matrices of chain values (dims: iterations x coef + 1) of object posterior
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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