JN_ACSDM: The Acceleration Constant for the Alternative Data Method
In ADTSA: Time Series Analysis
JN_ACSDM R Documentation
The Acceleration Constant for the Alternative Data Method
Description
This function calculates the acceleration constant for the alternative data method. This is done by sequentially removing one observation from the sample data points.
Usage
JN_ACSDM(ts, lgmx)
Arguments
ts
a vector of time series data.
lgmx
maximum lag at which to compute autocorrelations.
Value
A vector of accelerations for autocorrelations up to lagmax.
Author(s)
Hossein hassani, Masoud yarmohammadi, Mohammad reza yeganegi and Leila Marvian Mashhad.
Examples
data(co2)
JN_ACSDM(co2,4)
ADTSA documentation built on May 29, 2024, 11:48 a.m.
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| JN_ACSDM | R Documentation |
The Acceleration Constant for the Alternative Data Method
Description
This function calculates the acceleration constant for the alternative data method. This is done by sequentially removing one observation from the sample data points.
Usage
JN_ACSDM(ts, lgmx)
Arguments
ts |
a vector of time series data. |
lgmx |
maximum lag at which to compute autocorrelations. |
Value
A vector of accelerations for autocorrelations up to lagmax.
Author(s)
Hossein hassani, Masoud yarmohammadi, Mohammad reza yeganegi and Leila Marvian Mashhad.
Examples
data(co2)
JN_ACSDM(co2,4)
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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