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summary.bvarlist

Summarising Bayesian VAR Models


Description

summary method for class "bvarlist".

Usage

## S3 method for class 'bvarlist'
summary(object, ...)

Arguments

object

an object of class "bvar", usually, a result of a call to draw_posterior.

...

further arguments passed to or from other methods.

Details

The log-likelihood for the calculation of the information criteria is obtained by

LL = \frac{1}{R} ∑_{i = 1}^{R} ≤ft( ∑_{t = 1}^{T} -\frac{K}{2} \ln 2π - \frac{1}{2} \ln |Σ_t^{(i)}| -\frac{1}{2} (u_t^{{(i)}\prime} (Σ_t^{(i)})^{-1} u_t^{(i)} \right)

, where u_t = y_t - μ_t. The Akaike, Bayesian and Hannan–Quinn (HQ) information criteria are calculated as

AIC = 2 (Kp + Ms + N) - 2 LL

,

BIC = (Kp + Ms + N) ln(T) - 2 LL

and

HQ = 2 (Kp + Ms + N) ln(ln(T)) - 2 LL

, respectively.

Value

summary.bvarlist returns a table of class "summary.bvarlist".


bvartools

Bayesian Inference of Vector Autoregressive Models

v0.2.0
GPL (>= 2)
Authors
Franz X. Mohr [aut, cre]
Initial release
2021-04-25

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