The flexmix Package - NexTag Supports Open Source Initiatives

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40 stepFlexmix Source P. Wang, M. Puterman, I. Cockburn, and N. Le (1996): Mixed poisson regression models with covariate dependent rates. Biometrics 52, pages 381-400. References B. Gruen and F. Leisch (2004): Bootstrapping finite mixture models. In J. Antoch, editor, Compstat 2004 - Proceedings in Computational Statistics, pages 1115-1122. Physika Verlag, Heidelberg, Germany, ISBN 3-7908-1554-3. Examples data("seizure") plot(Seizures/Hours~Day, col=as.integer(Treatment), pch=as.integer(Treatment), data=seizure) abline(v=27.5, lty=2, col="grey") legend(140, 9, c("Baseline", "Treatment"), pch=1:2, col=1:2, xjust=1, yjust=1) set.seed(123) ## The model presented in the Wang et al paper: two components for ## "good" and "bad" days, respectively, each a Poisson GLM with hours of ## parental observation as offset seizMix
stepFlexmix 41 plot(x, y, what=c("AIC", "BIC", "ICL"), xlab=NULL, ylab=NULL, legend="topright", ...) ## S4 method for signature 'stepFlexmix': getModel(object, which="BIC") ## S4 method for signature 'stepFlexmix': unique(x, incomparables = FALSE, ...) Arguments ... Passed to flexmix (or matplot in the plot method). k nrep verbose drop unique A vector of integers passed in turn to the k argument of flexmix. For each value of k run flexmix nrep times and keep only the solution with maximum likelihood. If TRUE, show progress information during computations. If TRUE and k is of length 1, then a single flexmix object is returned instead of a "stepFlexmix" object. If TRUE, then unique() is called on the result, see below. x, object An object of class "stepFlexmix". y what xlab,ylab legend Not used. Character vector naming information criteria to plot. Functions of the same name must exist, which take a stepFlexmix object as input and return a numeric vector like AIC,stepFlexmix-method (see examples below). Graphical parameters. If not FALSE and what contains more than 1 element, a legend is placed at the specified location, see legend for details. which Number of model to get. If character, interpreted as number of components or name of an information criterion. incomparables A vector of values that cannot be compared. Currently, ’FALSE’ is the only possible value, meaning that all values can be compared. Value An object of class "stepFlexmix" containing the best models with respect to the log likelihood for the different number of components in a slot if length(k)>1, else directly an object of class "flexmix". If unique=FALSE, then the resulting object contains one model per element of k (which is the numer of clusters the EM algorithm started with). If unique=TRUE, then the result is resorted according to the number of clusters contained in the fitted models (which may be less than the number with which the EM algorithm started), and only the maximum likelihood solution for each number of fitted clusters is kept. This operation can also be done manually by calling unique() on objects of class "stepFlexmix".
Page 1 and 2: The flexmix Package March 26, 2008
Page 3 and 4: BIC-methods 3 Methods object = flex
Page 5 and 6: FLXMCmvpois 5 Details The Nclus dat
Page 7 and 8: FLXP-class 7 FLXP-class Class "FLXP
Page 9 and 10: FLXP 9 FLXP Creates the concomitant
Page 11 and 12: FLXdist-class 11 Arguments object c
Page 13 and 14: FLXMRglm 13 FLXMRglm FlexMix Interf
Page 15 and 16: FLXMCmvnorm 15 Examples data("NPreg
Page 17 and 18: FLXnested-class 17 Slots fit: Funct
Page 19 and 20: KLdiv 19 KLdiv Kullback-Leibler Div
Page 21 and 22: Mehta 21 Arguments object FUN Detai
Page 23 and 24: etablocker 23 Examples data("NregFi
Page 25 and 26: candy 25 candy Candy packs purchase
Page 27 and 28: fitted-methods 27 Format Source A d
Page 29 and 30: flexmix-internal 29 Accessor Functi
Page 31 and 32: flexmix 31 Examples data("NPreg") #
Page 33 and 34: plot-methods 33 Examples data("pate
Page 35 and 36: posterior 35 Usage plotEll(object,
Page 37 and 38: efit-methods 37 which x y bycluster
Page 39: seizure 39 Source Margolin, B.J., K
Page 43 and 44: trypanosome 43 Usage Format Details
Page 45 and 46: whiskey 45 Format Details Source A
Page 47 and 48: INDEX 47 cluster,FLXdist,ANY-method
Page 49: INDEX 49 posterior,FLXM,listOrdata.

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