Andel: Autocovariance and Autocorrelation Sequences for a Seasonal...
In neuroconductor-devel/waveslim: Basic Wavelet Routines for One-, Two-, and Three-Dimensional Signal Processing
Description
Usage
Format
References
Description
The autocovariance and autocorrelation sequences from the time series
model in Figures 8, 9, 10, and 11 of Andel (1986). They were obtained
through numeric integration of the spectral density function.
Usage
1
2
3
4
Format
A data frame with 4096 rows and three columns: lag, autocovariance sequence,
autocorrelation sequence.
References
Andel, J. (1986)
Long memory time series models,
Kypernetika, 22, No. 2, 105-123.
neuroconductor-devel/waveslim documentation built on May 3, 2021, 5:31 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 Format References
Description
The autocovariance and autocorrelation sequences from the time series model in Figures 8, 9, 10, and 11 of Andel (1986). They were obtained through numeric integration of the spectral density function.
Usage
1 2 3 4 |
Format
A data frame with 4096 rows and three columns: lag, autocovariance sequence, autocorrelation sequence.
References
Andel, J. (1986) Long memory time series models, Kypernetika, 22, No. 2, 105-123.
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.