artificial | Hawkins, Bradu, Kass's Artificial Data |
cavendish | Cavendish's determinations of the mean density of the earth Data |
coef.wle.lm | Accessing Linear Model Fits for wle.lm |
fitted.wle.lm | Accessing Linear Model Fits for wle.lm |
formula.wle.lm | Accessing Linear Model Fits for wle.lm |
hald | Hald Data |
mle.aic | Akaike Information Criterion |
mle.aic.summaries | Summaries and methods for mle.aic |
mle.cp | Mallows Cp |
mle.cp.summaries | Summaries and methods for mle.cp |
mle.cv | Cross Validation Selection Method |
mle.cv.summaries | Summaries and methods for mle.cv |
mle.stepwise | Stepwise, Backward and Forward selection methods |
mle.stepwise.summaries | Accessing summaries for mle.stepwise |
model.frame.wle.lm | Accessing Linear Model Fits for wle.lm |
plot.mle.cp | Plot the Mallows Cp |
plot.wle.cp | Plot the Weighted Mallows Cp |
plot.wle.lm | Plots for the Linear Model |
print.mle.aic | Summaries and methods for mle.aic |
print.mle.cp | Summaries and methods for mle.cp |
print.mle.cv | Summaries and methods for mle.cv |
print.mle.stepwise | Accessing summaries for mle.stepwise |
print.summary.mle.aic | Summaries and methods for mle.aic |
print.summary.mle.cp | Summaries and methods for mle.cp |
print.summary.mle.cv | Summaries and methods for mle.cv |
print.summary.mle.stepwise | Accessing summaries for mle.stepwise |
print.summary.wle.aic | Summaries and methods for wle.aic |
print.summary.wle.cp | Summaries and methods for wle.cp |
print.summary.wle.cv | Summaries and methods for wle.cv |
print.summary.wle.lm | Accessing Linear Model Fits for wle.lm |
print.summary.wle.stepwise | Accessing summaries for wle.stepwise |
print.wle.aic | Summaries and methods for wle.aic |
print.wle.cp | Summaries and methods for wle.cp |
print.wle.cv | Summaries and methods for wle.cv |
print.wle.lm | Accessing Linear Model Fits for wle.lm |
print.wle.normal | Summaries and methods for wle.normal |
print.wle.normal.multi | Summaries and methods for wle.normal.multi |
print.wle.onestep | Summaries and methods for wle.onestep |
print.wle.smooth | Bandwidth selection for the normal kernel and normal model. |
print.wle.stepwise | Accessing summaries for wle.stepwise |
selection | Selection's Data |
summary.mle.aic | Summaries and methods for mle.aic |
summary.mle.cp | Summaries and methods for mle.cp |
summary.mle.cv | Summaries and methods for mle.cv |
summary.mle.stepwise | Accessing summaries for mle.stepwise |
summary.wle.aic | Summaries and methods for wle.aic |
summary.wle.cp | Summaries and methods for wle.cp |
summary.wle.cv | Summaries and methods for wle.cv |
summary.wle.lm | Accessing Linear Model Fits for wle.lm |
summary.wle.stepwise | Accessing summaries for wle.stepwise |
weights.wle.lm | Accessing Linear Model Fits for wle.lm |
wle.aic | Weighted Akaike Information Criterion |
wle.aic.summaries | Summaries and methods for wle.aic |
wle.cp | Weighted Mallows Cp |
wle.cp.summaries | Summaries and methods for wle.cp |
wle.cv | Model Selection by Weighted Cross-Validation |
wle.cv.summaries | Summaries and methods for wle.cv |
wle.lm | Fitting Linear Models using Weighted Likelihood |
wle.lm.summaries | Accessing Linear Model Fits for wle.lm |
wle.normal | Robust Estimation in the Normal Model |
wle.normal.multi | Robust Estimation in the Normal Multivariate Model |
wle.normal.multi.summaries | Summaries and methods for wle.normal.multi |
wle.normal.summaries | Summaries and methods for wle.normal |
wle.onestep | A One-Step Weighted Likelihood Estimator for Linear model |
wle.onestep.summaries | Summaries and methods for wle.onestep |
wle.smooth | Bandwidth selection for the normal kernel and normal model. |
wle.stepwise | Weighted Stepwise, Backward and Forward selection methods |
wle.stepwise.summaries | Accessing summaries for wle.stepwise |
x.artificial | Hawkins, Bradu, Kass's Artificial Data |
x.hald | Hald Data |
xdata | Selection's Data |
y.artificial | Hawkins, Bradu, Kass's Artificial Data |
y.hald | Hald Data |
ydata | Selection's Data |