rloo.lm {api2lm}

Compute leave-one-out residuals for 'lm' objects.

Description

rloo.lm computes the leave-one-out residuals of the lm object stored in model.

rjackknife.lm and rdeleted.lm are aliases for rloo.lm.

Usage

## S3 method for class 'lm'
rloo(
  model,
  infl = stats::lm.influence(model, do.coef = FALSE),
  res = infl$wt.res,
  ...
)

## S3 method for class 'lm'
rdeleted(
  model,
  infl = stats::lm.influence(model, do.coef = FALSE),
  res = infl$wt.res,
  ...
)

## S3 method for class 'lm'
rjackknife(
  model,
  infl = stats::lm.influence(model, do.coef = FALSE),
  res = infl$wt.res,
  ...
)

Arguments

model

a fitted model object from the lm function.

infl

influence structure as returned by lm.influence.

res

(possibly weighted) residuals, with proper default.

...

Currently unimplemented

Details

Let \hat{\epsilon}_i denote the residual of the ith observation and h_i denote the leverage value of the ith observation The leave-one-out residual for observation i is computed as

l_i = \frac{\hat{\epsilon}_i}{1-h_i}.

Author(s)

Joshua French

Examples

lmod <- lm(Girth ~ Height, data = trees)
rloo(lmod)