artificial               Hawkins, Bradu, Kass's Artificial Data
binary                   Convert decimal base number to binary base
cavendish                Cavendish's determinations of the mean density
                         of the earth Data
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
plot.mle.cp              Plot the Mallows Cp
plot.wle.cp              Plot the Weighted Mallows Cp
plot.wle.lm              Plots for the Linear Model
selection                Selection's Data
wle.aic                  Weighted Akaike Information Criterion
wle.aic.summaries        Summaries and methods for wle.aic
wle.ar                   Fit Autoregressive Models to Time Series -
                         Preliminary Version
wle.binomial             Robust Estimation in the Binomial Model
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.gamma                Robust Estimation in the Gamma model
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.mixture       Robust Estimation in the Normal Mixture 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.poisson              Robust Estimation in the Poisson Model
wle.riunif               The Integer Uniform Distribution
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
wle.t.test               Weighted Likelihood Student's t-Test
wle.var.test             Weighted F Test to Compare Two Variances
wle.weights              Weights based on Weighted Likelihood for the
                         normal model
