Summarizing Vector Autoregressive Model

summary method for varlse class.

Usage

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

# S3 method for class 'summary.varlse'
print(x, digits = max(3L, getOption("digits") - 3L), signif_code = TRUE, ...)

# S3 method for class 'summary.varlse'
knit_print(x, ...)

Arguments

object

A varlse object

...

not used

x

summary.varlse object

digits

digit option to print

signif_code

Check significant rows (Default: TRUE)

Value

summary.varlse class additionally computes the following

names

Variable names

totobs

Total number of the observation

obs

Sample size used when training = totobs - p

p

Lag of VAR

coefficients

Coefficient Matrix

call

Matched call

process

Process: VAR

covmat

Covariance matrix of the residuals

corrmat

Correlation matrix of the residuals

roots

Roots of characteristic polynomials

is_stable

Whether the process is stable or not based on roots

log_lik

log-likelihood

ic

Information criteria vector

• AIC - AIC

• BIC - BIC

• HQ - HQ

• FPE - FPE

References

Lütkepohl, H. (2007). New Introduction to Multiple Time Series Analysis. Springer Publishing.