Description Usage Arguments Details Value References See Also Examples

Prints a summary of the information contained within a `mvLSW`

classed object.

1 2 3 4 |

`object, x` |
A |

`...` |
Additional arguments. |

The command prints to screen a summary of the information
contained within a `mvLSW`

object. Information printed
includes: dimensions, wavelet function, the smoothing regime
applied, smoothing kernel(s), generalized cross-validation
gamma deviance criteria score, application of the bias correction
and minimum eigenvalue from across all spectral matrices.

This command returns nothing, only prints a summary to the console.

Taylor, S.A.C., Park, T.A. and Eckley, I. (2019) Multivariate
locally stationary wavelet analysis with the mvLSW R package.
*Journal of statistical software* **90**(11) pp. 1–16,
doi: 10.18637/jss.v090.i11.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ```
## Generate a bivariate time series
set.seed(100)
X <- matrix(rnorm(2 * 2^8), ncol = 2)
X[1:2^7, 2] <- 3 * (X[1:2^7, 2] + 0.95 * X[1:2^7, 1])
X[-(1:2^7), 2] <- X[-(1:2^7), 2] - 0.95 * X[-(1:2^7), 1]
X[-(1:2^7), 1] <- X[-(1:2^7), 1] * 4
X <- as.ts(X)
## Haar wavelet, apply same smoothing to all levels & optimize
EWS <- mvEWS(X, kernel.name = "daniell", kernel.param = 20,
optimize = TRUE)
summary(EWS)
print(EWS)
plot(EWS, style = 2, info = 1)
``` |

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