update.boostrq {boostrq} | R Documentation |
Update and Re-fit a boostrq model
Description
Update and Re-fit a boostrq model
Usage
## S3 method for class 'boostrq'
update(object, weights, oobweights, risk, ...)
Arguments
object |
a boostrq object |
weights |
(optional) a numeric vector indicating which weights to used in the fitting process (default: all observations are equally weighted, with 1). |
oobweights |
an additional vector of out-of-bag weights, which is used for the out-of-bag risk. |
risk |
string indicating how the empirical risk should be computed for each boosting iteration. inbag leads to risks computed for the learning sample (i.e. observations with non-zero weights), oobag to risks based on the out-of-bag (i.e. observations with non-zero oobagweights). |
... |
additional arguments passed to callies |
Value
a re-fitted boostrq model
Examples
boosted.rq <-
boostrq(
formula = mpg ~ brq(cyl * hp) + brq(am + wt),
data = mtcars,
mstop = 200,
nu = 0.1,
tau = 0.5
)
update(
boosted.rq,
weights = c(rep(1, 30), 0, 0),
oobweights = c(rep(0, 30), 1,1),
risk = "oobag"
)
[Package boostrq version 1.0.0 Index]