Ma: Matern autocovariance
In gmwmx2: Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals and Missing Data
View source: R/time_series_model.R
Ma R Documentation
Matern autocovariance
Description
Computes the Matern correlation at lags x for smoothness alpha.
This is used internally to build the full autocovariance vector.
Usage
Ma(x, alpha)
Arguments
x
Numeric vector of lags (non-negative).
alpha
Smoothness parameter in (1/2, 10).
Value
Numeric vector of correlations for each lag in x.
gmwmx2 documentation built on June 10, 2026, 5:06 p.m.
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View source: R/time_series_model.R
| Ma | R Documentation |
Matern autocovariance
Description
Computes the Matern correlation at lags x for smoothness alpha.
This is used internally to build the full autocovariance vector.
Usage
Ma(x, alpha)
Arguments
x |
Numeric vector of lags (non-negative). |
alpha |
Smoothness parameter in (1/2, 10). |
Value
Numeric vector of correlations for each lag in x.
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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