wle.normal.mixture
(Package: wle) :
Robust Estimation in the Normal Mixture Model
wle.normal.mixture is a preliminary version; it is used to robust estimate the location, scale and proportion parameters via Weighted Likelihood, when the sample is iid from a normal mixture univariate distribution with known m number of components.
● Data Source:
CranContrib
● Keywords: models, robust
● Alias: print.wle.normal.mixture, wle.normal.mixture, wle.normal.mixture.start
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mle.cp.summaries
(Package: wle) :
Summaries and methods for mle.cp
All these functions are methods for class mle.cp or summary.mle.cp.
● Data Source:
CranContrib
● Keywords: regression
● Alias: print.mle.cp, print.summary.mle.cp, summary.mle.cp
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wle.gamma
(Package: wle) :
Robust Estimation in the Gamma model
wle.gamma is used to robust estimate the shape and the scale parameters via Weighted Likelihood, when the majority of the data are from a gamma distribution.
● Data Source:
CranContrib
● Keywords: models, robust
● Alias: print.wle.gamma, wle.gamma
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wle.aic
(Package: wle) :
Weighted Akaike Information Criterion
The Weighted Akaike Information Criterion.
● Data Source:
CranContrib
● Keywords: regression, robust
● Alias: wle.aic
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wle.binomial
(Package: wle) :
Robust Estimation in the Binomial Model
wle.binomial is used to robust estimate the proportion parameters via Weighted Likelihood.
● Data Source:
CranContrib
● Keywords: models, robust
● Alias: print.wle.binomial, wle.binomial
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wle.smooth
(Package: wle) :
Bandwidth selection for the normal kernel and normal model.
The bandwidth of the kernel is choose for normal model and normal kernel in such a way a contaminated point costant times away from the mean of the distribution in scale units and mass level has a weight no bigger than weight.
● Data Source:
CranContrib
● Keywords: robust
● Alias: print.wle.smooth, wle.smooth
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wle.negativebinomial
(Package: wle) :
Robust Estimation in the Negative Binomial Model
wle.negativebinomial is used to robust estimate the proportion parameters via Weighted Likelihood.
● Data Source:
CranContrib
● Keywords: models, robust
● Alias: print.wle.negativebinomial, wle.negativebinomial
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wle.poisson
(Package: wle) :
Robust Estimation in the Poisson Model
wle.poisson is used to robust estimate the lambda parameters in the poisson model via Weighted Likelihood.
● Data Source:
CranContrib
● Keywords: models, robust
● Alias: print.wle.poisson, wle.poisson
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plot.wle.cp
(Package: wle) :
Plot the Weighted Mallows Cp
Plot the weighted Mallows Cp based on weighted likelihood.
● Data Source:
CranContrib
● Keywords: regression, robust
● Alias: plot.wle.cp
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wle.glm
(Package: wle) :
Robust Fitting Generalized Linear Models using Weighted Likelihood
wle.glm is used to robustly fit generalized linear models, specified by giving a symbolic description of the linear predictor and a description of the error distribution.
● Data Source:
CranContrib
● Keywords: models, regression, robust
● Alias: print.wle.glm, weights.wle.glm, wle.glm, wle.glm.fit
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