wle: Weighted Likelihood Estimation

Approach to the robustness via Weighted Likelihood.

Author
Claudio Agostinelli <claudio.agostinelli@unitn.it>, SLATEC Common Mathematical Library <www.netlib.org/slatec>
Date of publication
2015-10-18 18:41:42
Maintainer
Claudio Agostinelli <claudio.agostinelli@unitn.it>
License
GPL-2
Version
0.9-91

View on CRAN

Man pages

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

Files in this package

wle
wle/COPYING
wle/inst
wle/inst/CREDITS
wle/inst/NEWS
wle/inst/COPYRIGHTS
wle/src
wle/src/wlegamma.f
wle/src/xersve.f
wle/src/wleonestepfix.f
wle/src/dqelg.f
wle/src/Makevars
wle/src/mleaic.f
wle/src/dqk15i.f
wle/src/dqagi.f
wle/src/xgetun.f
wle/src/wlenormalmulti.f
wle/src/dqagp.f
wle/src/xgetua.f
wle/src/densitynormalmulti.f
wle/src/wlechisq.f
wle/src/xerhlt.f
wle/src/j4save.f
wle/src/weights2.f
wle/src/dqpsrt.f
wle/src/wleinvga.f
wle/src/weights.f
wle/src/mlecv.f
wle/src/wleaicfast.f
wle/src/random.c
wle/src/wlecp.f
wle/src/wlecvone.f
wle/src/xermax.f
wle/src/dgammaF77.c
wle/src/wlenorm.f
wle/src/xercnt.f
wle/src/dbetawrapper.c
wle/src/wls.f
wle/src/xerclr.f
wle/src/wlenormalhigh.f
wle/src/dectobin.f
wle/src/wlecvonem.f
wle/src/mlecp.f
wle/src/wleaic.f
wle/src/xerprn.f
wle/src/lsame.f
wle/src/wlecv.f
wle/src/wwlecv.f
wle/src/dqagie.f
wle/src/xerdmp.f
wle/src/mlecvone.f
wle/src/wlestepwise.f
wle/src/wlecvonemc.f
wle/src/xgetf.f
wle/src/initds.f
wle/src/dgedi.f
wle/src/mle.wrappednormal.f
wle/src/dqagpe.f
wle/src/wleregfix.f
wle/src/dgeco.f
wle/src/mlestepwise.f
wle/src/fdump.f
wle/src/wlenmix.f
wle/src/xermsg.f
wle/src/genprm.f
wle/src/dqk21.f
wle/src/wlemah.f
wle/src/dgefa.f
wle/NAMESPACE
wle/data
wle/data/artificial.rda
wle/data/rocky.rda
wle/data/selection.rda
wle/data/cavendish.rda
wle/data/hald.rda
wle/R
wle/R/wle.aicfast.R
wle/R/plot.wle.cp.R
wle/R/wle.weights2.R
wle/R/mle.stepwise.R
wle/R/wle.poisson.R
wle/R/wle.aic.R
wle/R/wle.inversegaussian.R
wle/R/wle.stepwise.R
wle/R/mle.cp.R
wle/R/wle.cv.one.R
wle/R/wle.aic.glm.R
wle/R/wle.binomial.R
wle/R/wle.cp.R
wle/R/wle.normal.multi.R
wle/R/wle.vonmises.R
wle/R/residualsAnscombe.R
wle/R/wle.ar.R
wle/R/wle.normal.mixture.start.R
wle/R/wle.wrappednormal.R
wle/R/wle.normal.R
wle/R/mde.vonmises.R
wle/R/mle.aic.R
wle/R/weights.negbin.R
wle/R/wle.gamma.R
wle/R/wle.lm.R
wle/R/mle.inversegaussian.R
wle/R/wle.smooth.R
wle/R/densitynormalmulti.R
wle/R/wle.normal.mixture.R
wle/R/wle.inversegaussian.lambda.R
wle/R/binary.R
wle/R/wle.glm.R
wle/R/wle.onestep.R
wle/R/plot.mle.cp.R
wle/R/wle.fracdiff.R
wle/R/wle.var.test.R
wle/R/wmme.gamma.R
wle/R/wle.negativebinomial.R
wle/R/wle.t.test.R
wle/R/wle.cv.R
wle/R/mle.cv.R
wle/R/plot.wle.lm.R
wle/R/mme.gamma.R
wle/R/wle.aic.ar.R
wle/R/anova.wle.glm.R
wle/R/wle.control.R
wle/R/zzz.R
wle/R/extractRoot.R
wle/R/mle.cv.one.R
wle/R/wle.weights.R
wle/R/mde.wrappednormal.R
wle/R/wle.gamma.shape.R
wle/MD5
wle/README
wle/DESCRIPTION
wle/man
wle/man/wle.aic.Rd
wle/man/wle.binomial.Rd
wle/man/wle.smooth.Rd
wle/man/wle.negativebinomial.Rd
wle/man/rocky.Rd
wle/man/wle.poisson.Rd
wle/man/plot.wle.cp.Rd
wle/man/wle.glm.Rd
wle/man/mle.stepwise.summaries.Rd
wle/man/wle.normal.summaries.Rd
wle/man/wle.onestep.Rd
wle/man/wle.cp.Rd
wle/man/plot.wle.lm.Rd
wle/man/anova.wle.glm.root.Rd
wle/man/wle.cp.summaries.Rd
wle/man/wle.aic.ar.summaries.Rd
wle/man/wle.vonmises.Rd
wle/man/wle.glm.control.Rd
wle/man/wle.onestep.summaries.Rd
wle/man/hald.Rd
wle/man/wle.aic.summaries.Rd
wle/man/wle.stepwise.summaries.Rd
wle/man/wle.lm.Rd
wle/man/plot.mle.cp.Rd
wle/man/wle.normal.multi.summaries.Rd
wle/man/wle.var.test.Rd
wle/man/wle.fracdiff.Rd
wle/man/wle.cv.Rd
wle/man/wle.cv.summaries.Rd
wle/man/wle.normal.multi.Rd
wle/man/wle.lm.summaries.Rd
wle/man/cavendish.Rd
wle/man/wle.stepwise.Rd
wle/man/wle.glm.summaries.Rd
wle/man/wle.weights.Rd
wle/man/extractRoot.Rd
wle/man/mle.aic.summaries.Rd
wle/man/wle.t.test.Rd
wle/man/selection.Rd
wle/man/wle.normal.Rd
wle/man/mde.vonmises.Rd
wle/man/residualsAnscombe.Rd
wle/man/wle.glm.weights.Rd
wle/man/mle.stepwise.Rd
wle/man/wle.wrappednormal.Rd
wle/man/mle.cp.Rd
wle/man/mde.wrappednormal.Rd
wle/man/wle.ar.Rd
wle/man/wle.aic.ar.Rd
wle/man/summary.wle.glm.Rd
wle/man/mle.aic.Rd
wle/man/mle.cv.summaries.Rd
wle/man/mle.cv.Rd
wle/man/artificial.Rd
wle/man/binary.Rd
wle/man/wle.normal.mixture.Rd
wle/man/mle.cp.summaries.Rd
wle/man/wle.gamma.Rd
wle/INDEX