sum_model: Sum of stochastic models (internal)
In gmwmx2: Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals and Missing Data
View source: R/constructor_time_series_model.R
sum_model R Documentation
Sum of stochastic models (internal)
Description
Creates a composite model representing a sum of independent
time_series_model components. This is an internal constructor used
by the + methods.
Usage
sum_model(models)
Arguments
models
A list of time_series_model objects.
Value
A sum_model object.
Examples
mod <- pl(kappa = 0.5, sigma2 = 2) + wn(sigma2 = 1)
print(mod)
gmwmx2 documentation built on June 10, 2026, 5:06 p.m.
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View source: R/constructor_time_series_model.R
| sum_model | R Documentation |
Sum of stochastic models (internal)
Description
Creates a composite model representing a sum of independent
time_series_model components. This is an internal constructor used
by the + methods.
Usage
sum_model(models)
Arguments
models |
A list of |
Value
A sum_model object.
Examples
mod <- pl(kappa = 0.5, sigma2 = 2) + wn(sigma2 = 1)
print(mod)
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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