sd_acf: Function to calculate the standard deviations and the...
In yanbowisc/SIMP: Bayesian Simultaneous Partial Envelope Model
sd_acf R Documentation
Function to calculate the standard deviations and the estimates for the auto-correlation function for
posterior samples (PSD and PACF).
Description
Function to calculate the standard deviations and the estimates for the auto-correlation function for
posterior samples (PSD and PACF).
Usage
sd_acf(SIMP.fit, thinning_length = 1, acf.lagmax = 30)
Arguments
SIMP.fit
Returned outputs from SIMP().
thinning_length
The length for thinning before calculating PSD and PACF.
acf.lagmax
The maximal lag length for calculating PACF.
yanbowisc/SIMP documentation built on Oct. 30, 2022, 1:33 a.m.
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| sd_acf | R Documentation |
Function to calculate the standard deviations and the estimates for the auto-correlation function for posterior samples (PSD and PACF).
Description
Function to calculate the standard deviations and the estimates for the auto-correlation function for posterior samples (PSD and PACF).
Usage
sd_acf(SIMP.fit, thinning_length = 1, acf.lagmax = 30)
Arguments
SIMP.fit |
Returned outputs from SIMP(). |
thinning_length |
The length for thinning before calculating PSD and PACF. |
acf.lagmax |
The maximal lag length for calculating PACF. |
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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