# Weighted Likelihood Estimation

## Documentation for package ‘wle’ version 0.9-91

- DESCRIPTION file.
- Package NEWS.

## Help Pages

A B C E F H M P R S W X Y

## -- A --

anova.wle.glm.root | Robust Analysis of Deviance for Generalized Linear Model Fits
anova.wleglmlist | Robust Analysis of Deviance for Generalized Linear Model Fits
artificial | Hawkins, Bradu, Kass's Artificial Data

## -- B --

binary | Convert decimal base number to binary base

## -- C --

cavendish | Cavendish's determinations of the mean density of the earth Data
coef.wle.lm | Accessing Linear Model Fits for wle.lm

## -- E --

extractRoot | Extract a Root from a result of a wle function
extractRoot.wle.glm | Extract a Root from a result of a wle function

## -- F --

family.wle.glm | Accessing Generalized Linear Model Robust Fits
fitted.wle.lm | Accessing Linear Model Fits for wle.lm
formula.wle.lm | Accessing Linear Model Fits for wle.lm

## -- H --

hald | Hald Data

## -- M --

mde.vonmises | von Mises Minimum Distance Estimates
mde.wrappednormal | Wrapped Normal Minimum Distance Estimates
mle.aic | Akaike Information Criterion
mle.cp | Mallows Cp
mle.cv | Cross Validation Selection Method
mle.stepwise | Stepwise, Backward and Forward selection methods
model.frame.wle.lm | Accessing Linear Model Fits for wle.lm

## -- P --

plot.mle.cp | Plot the Mallows Cp
plot.wle.cp | Plot the Weighted Mallows Cp
plot.wle.lm | Plots for the Linear Model
print.mde.vonmises | von Mises Minimum Distance Estimates
print.mde.wrappednormal | Wrapped Normal Minimum Distance Estimates
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.aic.ar | Summaries and methods for wle.aic.ar
print.summary.wle.cp | Summaries and methods for wle.cp
print.summary.wle.cv | Summaries and methods for wle.cv
print.summary.wle.glm | Summarizing Generalized Linear Model Robust Fits
print.summary.wle.lm | Accessing Linear Model Fits for wle.lm
print.summary.wle.lm.root | 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.aic.ar | Summaries and methods for wle.aic.ar
print.wle.binomial | Robust Estimation in the Binomial Model
print.wle.cp | Summaries and methods for wle.cp
print.wle.cv | Summaries and methods for wle.cv
print.wle.gamma | Robust Estimation in the Gamma model
print.wle.glm | Robust Fitting Generalized Linear Models using Weighted Likelihood
print.wle.lm | Accessing Linear Model Fits for wle.lm
print.wle.negativebinomial | Robust Estimation in the Negative Binomial Model
print.wle.normal | Summaries and methods for wle.normal
print.wle.normal.mixture | Robust Estimation in the Normal Mixture Model
print.wle.normal.multi | Summaries and methods for wle.normal.multi
print.wle.onestep | Summaries and methods for wle.onestep
print.wle.poisson | Robust Estimation in the Poisson Model
print.wle.smooth | Bandwidth selection for the normal kernel and normal model.
print.wle.stepwise | Accessing summaries for wle.stepwise
print.wle.t.test | Weighted Likelihood Student's t-Test
print.wle.vonmises | von Mises Weighted Likelihood Estimates
print.wle.wrappednormal | Wrapped Normal Weighted Likelihood Estimates

## -- R --

residuals.wle.glm | Accessing Generalized Linear Model Robust Fits
residualsAnscombe | Anscombe residuals
rocky | Rockwell hardness, 100 coils produced in sequence at a Chicago Steel Mill Data

## -- S --

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.aic.ar | Summaries and methods for wle.aic.ar
summary.wle.cp | Summaries and methods for wle.cp
summary.wle.cv | Summaries and methods for wle.cv
summary.wle.glm | Summarizing Generalized Linear Model Robust Fits
summary.wle.lm | Accessing Linear Model Fits for wle.lm
summary.wle.lm.root | Accessing Linear Model Fits for wle.lm
summary.wle.stepwise | Accessing summaries for wle.stepwise

## -- W --

weights.wle.glm | Robust Fitting Generalized Linear Models using Weighted Likelihood
weights.wle.lm | Accessing Linear Model Fits for wle.lm
wle.aic | Weighted Akaike Information Criterion
wle.aic.ar | Weighted Akaike Information Criterion for AR models
wle.ar | Fit Autoregressive Models to Time Series - Preliminary Version
wle.ar.ao | Fit Autoregressive Models to Time Series - Preliminary Version
wle.ar.matrix | Fit Autoregressive Models to Time Series - Preliminary Version
wle.ar.start | Fit Autoregressive Models to Time Series - Preliminary Version
wle.ar.step | Fit Autoregressive Models to Time Series - Preliminary Version
wle.ar.wls | Weighted Akaike Information Criterion for AR models
wle.binomial | Robust Estimation in the Binomial Model
wle.cp | Weighted Mallows Cp
wle.cv | Model Selection by Weighted Cross-Validation
wle.fracdiff | Fit Fractional Models to Time Series - Preliminary Version
wle.gamma | Robust Estimation in the Gamma model
wle.glm | Robust Fitting Generalized Linear Models using Weighted Likelihood
wle.glm.control | Auxiliary for Controlling GLM Robust Fitting
wle.glm.fit | Robust Fitting Generalized Linear Models using Weighted Likelihood
wle.glm.weights | Weights based on Weighted Likelihood for the GLM model
wle.lm | Fitting Linear Models using Weighted Likelihood
wle.negativebinomial | Robust Estimation in the Negative Binomial Model
wle.normal | Robust Estimation in the Normal Model
wle.normal.mixture | Robust Estimation in the Normal Mixture Model
wle.normal.mixture.start | Robust Estimation in the Normal Mixture Model
wle.normal.multi | Robust Estimation in the Normal Multivariate Model
wle.onestep | A One-Step Weighted Likelihood Estimator for Linear model
wle.poisson | Robust Estimation in the Poisson Model
wle.smooth | Bandwidth selection for the normal kernel and normal model.
wle.stepwise | Weighted Stepwise, Backward and Forward selection methods
wle.t.test | Weighted Likelihood Student's t-Test
wle.var.test | Weighted F Test to Compare Two Variances
wle.vonmises | von Mises Weighted Likelihood Estimates
wle.weights | Weights based on Weighted Likelihood for the normal model
wle.wrappednormal | Wrapped Normal Weighted Likelihood Estimates

## -- X --

x.artificial | Hawkins, Bradu, Kass's Artificial Data
x.hald | Hald Data
xdata | Selection's Data

## -- Y --

y.artificial | Hawkins, Bradu, Kass's Artificial Data
y.hald | Hald Data
ydata | Selection's Data