wle: Weighted Likelihood Estimation

Approach to the robustness via Weighted Likelihood.

AuthorClaudio Agostinelli <claudio.agostinelli@unitn.it>, SLATEC Common Mathematical Library <www.netlib.org/slatec>
Date of publication2015-10-18 18:41:42
MaintainerClaudio Agostinelli <claudio.agostinelli@unitn.it>
LicenseGPL-2
Version0.9-91

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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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