varve: Annual Varve Series
In astsa: Applied Statistical Time Series Analysis
varve R Documentation
Annual Varve Series
Description
Sedimentary deposits from one location in Massachusetts for 634 years, beginning nearly 12,000 years ago.
Format
The format is:
Time-Series [1:634] from 1 to 634: 26.3 27.4 42.3 58.3 20.6 ...
Source
Antevs, E. (1928). The Last Glaciation with Special Reference to the Ice Retreat in Northeastern North America.
Amer. Geog. Soc. Res. Series, No. 17, 292p.
Shumway and Verosub (1992). State space modeling of paleoclimatic time series. Proceedings of the 5th International Meeting on Statistical Climatology, June, 1992, University of Toronto, 139p.
References
You can find demonstrations of astsa capabilities at
FUN WITH ASTSA.
The most recent version of the package can be found at https://github.com/nickpoison/astsa/.
In addition, the News and ChangeLog files are at https://github.com/nickpoison/astsa/blob/master/NEWS.md.
The webpages for the texts and some help on using R for time series analysis can be found at
https://nickpoison.github.io/.
astsa documentation built on Aug. 21, 2025, 5:47 p.m.
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| varve | R Documentation |
Annual Varve Series
Description
Sedimentary deposits from one location in Massachusetts for 634 years, beginning nearly 12,000 years ago.
Format
The format is: Time-Series [1:634] from 1 to 634: 26.3 27.4 42.3 58.3 20.6 ...
Source
Antevs, E. (1928). The Last Glaciation with Special Reference to the Ice Retreat in Northeastern North America. Amer. Geog. Soc. Res. Series, No. 17, 292p.
Shumway and Verosub (1992). State space modeling of paleoclimatic time series. Proceedings of the 5th International Meeting on Statistical Climatology, June, 1992, University of Toronto, 139p.
References
You can find demonstrations of astsa capabilities at FUN WITH ASTSA.
The most recent version of the package can be found at https://github.com/nickpoison/astsa/.
In addition, the News and ChangeLog files are at https://github.com/nickpoison/astsa/blob/master/NEWS.md.
The webpages for the texts and some help on using R for time series analysis can be found at https://nickpoison.github.io/.
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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