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
A 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 Feb. 8, 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
A 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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