predict.fars: Predict Method for 'fars' Object
In FARS: Factor-Augmented Regression Scenarios
predict.fars R Documentation
Predict Method for fars Object
Description
Computes predictions from all quantile regressions in a fars object.
newdata must contain (in this order) the lagged dependent variable column
followed by the factor columns. Column names are generated internally as
LagY, F1, F2, ..., Fr.
Usage
## S3 method for class 'fars'
predict(object, newdata, ...)
Arguments
object
An object of class fars.
newdata
A matrix or data frame with one column for the lagged dependent variable
and r columns for the factors (same r used in compute_fars()).
...
Additional arguments (ignored).
Value
A numeric matrix with one column per quantile level and one row per observation in newdata.
FARS documentation built on Feb. 17, 2026, 5:06 p.m.
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| predict.fars | R Documentation |
Predict Method for fars Object
Description
Computes predictions from all quantile regressions in a fars object.
newdata must contain (in this order) the lagged dependent variable column
followed by the factor columns. Column names are generated internally as
LagY, F1, F2, ..., Fr.
Usage
## S3 method for class 'fars'
predict(object, newdata, ...)
Arguments
object |
An object of class |
newdata |
A matrix or data frame with one column for the lagged dependent variable
and |
... |
Additional arguments (ignored). |
Value
A numeric matrix with one column per quantile level and one row per observation in newdata.
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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