plus-exdqlm: Addition for 'exdqlm' objects
In exdqlm: Extended Dynamic Quantile Linear Models
+.exdqlm R Documentation
Addition for exdqlm objects
Description
Combines two state space blocks into a single state space model for an exDQLM.
Usage
## S3 method for class 'exdqlm'
m1 + m2
Arguments
m1
object of class "exdqlm" containing the first model to be combined.
m2
object of class "exdqlm" containing the second model to be combined.
Value
An object of class "exdqlm" containing the new combined state space model components:
FF - Observational vector.
GG - Evolution matrix.
m0 - Prior mean of the state vector.
C0 - Prior covariance of the state vector.
Examples
trend.comp = polytrendMod(2, rep(0, 2), 10*diag(2))
seas.comp = seasMod(365, c(1,2,4), C0 = 10*diag(6))
model = trend.comp + seas.comp
exdqlm documentation built on June 5, 2026, 1:06 a.m.
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| +.exdqlm | R Documentation |
Addition for exdqlm objects
Description
Combines two state space blocks into a single state space model for an exDQLM.
Usage
## S3 method for class 'exdqlm'
m1 + m2
Arguments
m1 |
object of class " |
m2 |
object of class " |
Value
An object of class "exdqlm" containing the new combined state space model components:
FF - Observational vector.
GG - Evolution matrix.
m0 - Prior mean of the state vector.
C0 - Prior covariance of the state vector.
Examples
trend.comp = polytrendMod(2, rep(0, 2), 10*diag(2))
seas.comp = seasMod(365, c(1,2,4), C0 = 10*diag(6))
model = trend.comp + seas.comp
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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