lm
,
glm
,
censorReg
,
or
censorRegList
.
Calculates jackknife statistics for parameters
of interest and produces an object of class
.
jackknife(data, statistic, ...) jackknife.lm(data, statistic, ...) jackknife.glm(data, statistic, ...) jackknife.censorReg(data, statistic, ...)
censorRegList
.
lm
,
glm
, or
censorReg
objects and returns a
vector or matrix.
It may be a function (e.g.
coef
) which
accepts data as the first argument;
other arguments may be passed using
args.stat
.
predict(fit,newdata=orig.frame)
.
If the
data
object is given by name (e.g.
data=fit
) then use that name
in the expression,
otherwise (e.g.
data=glm(formula,dataframe)
) use the name
data
in
the expression, e.g.
predict(data,newdata=orig.frame)
.
resamp
. See
for more details.
See .
# jackknife and lm fit <- lm(Fuel~Weight+Disp., data=fuel.frame) jackknife(fit, coef) # jackknife and glm fit <- glm(ozone^(1/3) ~ bs(radiation, 5,knots=185,Boundary.knots=c(7,334)) + (wind + temperature)^2, data=air) newdata <- air jackknife(fit, predict(fit, newdata=newdata, type="link")) # jackknife and censorReg (use default statistic) fit <- censorReg(censor(days, event) ~ voltage, data = capacitor2, weights=weights, distribution = "weibull", threshold = "Lin") jackknife(fit, coef(fit)) # See help(bootstrap.lm) for more examples of syntax.