seasonalACF: Calculate seasonal autocorrelation function
In CoSMoS: Complete Stochastic Modelling Solution
seasonalACF R Documentation
Calculate seasonal autocorrelation function
Description
Computes the empirical ACF for each season of a time series.
Usage
seasonalACF(TS, season, lag.max = 50)
Arguments
TS
data frame or data table with columns date and value
season
character; name of a date-component function
(e.g. "month")
lag.max
integer; maximum lag for the ACF (default 50)
Value
a named list (one element per season) of numeric ACF vectors
starting at lag 0
See Also
analyzeTS, fitACS
CoSMoS documentation built on May 8, 2026, 1:08 a.m.
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| seasonalACF | R Documentation |
Calculate seasonal autocorrelation function
Description
Computes the empirical ACF for each season of a time series.
Usage
seasonalACF(TS, season, lag.max = 50)
Arguments
TS |
data frame or data table with columns |
season |
character; name of a date-component function
(e.g. |
lag.max |
integer; maximum lag for the ACF (default 50) |
Value
a named list (one element per season) of numeric ACF vectors starting at lag 0
See Also
analyzeTS, fitACS
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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