Man pages for wle
Weighted Likelihood Estimation
| anova.wle.glm.root | Robust Analysis of Deviance for Generalized Linear Model Fits |
| 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... |
| extractRoot | Extract a Root from a result of a wle function |
| hald | Hald Data |
| mde.vonmises | von Mises Minimum Distance Estimates |
| mde.wrappednormal | Wrapped Normal Minimum Distance Estimates |
| 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 |
| residualsAnscombe | Anscombe residuals |
| rocky | Rockwell hardness, 100 coils produced in sequence at a... |
| selection | Selection's Data |
| summary.wle.glm | Summarizing Generalized Linear Model Robust Fits |
| wle.aic | Weighted Akaike Information Criterion |
| wle.aic.ar | Weighted Akaike Information Criterion for AR models |
| wle.aic.ar.summaries | Summaries and methods for wle.aic.ar |
| wle.aic.summaries | Summaries and methods for wle.aic |
| wle.ar | Fit Autoregressive Models to Time Series - Preliminary... |
| 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.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... |
| wle.glm.control | Auxiliary for Controlling GLM Robust Fitting |
| wle.glm.summaries | Accessing Generalized Linear Model Robust Fits |
| wle.glm.weights | Weights based on Weighted Likelihood for the GLM model |
| wle.lm | Fitting Linear Models using Weighted Likelihood |
| wle.lm.summaries | Accessing Linear Model Fits for wle.lm |
| 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.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.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.vonmises | von Mises Weighted Likelihood Estimates |
| wle.weights | Weights based on Weighted Likelihood for the normal model |
| wle.wrappednormal | Wrapped Normal Weighted Likelihood Estimates |
