Usage
## S3 method for class 'lmrob':
predict(object, newdata, se.fit = FALSE,
scale = NULL, df = NULL,
interval = c("none", "confidence", "prediction"), level = 0.95,
type = c("response", "terms"), terms = NULL,
na.action = na.pass, pred.var = res.var/weights, weights = 1, ...)Arguments
object
object of class inheriting from "lmrob"
newdata
an optional data frame in which to look for variables with
which to predict. If omitted, the fitted values are used.
se.fit
a switch indicating if standard errors are required.
scale
scale parameter for std.err. calculation
df
degrees of freedom for scale
interval
type of interval calculation.
level
tolerance/confidence level
type
Type of prediction (response or model term).
terms
if type="terms", which terms (default is all terms)
na.action
function determining what should be done with missing
values in newdata. The default is to predict NA.
pred.var
the variance(s) for future observations to be assumed
for prediction intervals. See Details.
weights
variance weights for prediction. This can be a numeric
vector or a one-sided model formula. In the latter case, it is
interpreted as an expression evaluated in newdata
...
further arguments passed to or from other methods.