similar to: mle in the gamma model

Hello, I have a question pertaining to the stepwise regression which I am trying to perform. I have a data set in which I have 14 predictor variables accompanying my response variable. I am not sure what the difference is between the function "mle.stepwise" found in the wle package and the functions "step" or "stepAIC"? When would one use

Hi all -- I'm seeing the following commands reliably produce a crash in RGui, version 2.0.1, for both my home and office machine: > rm(list = ls(all = TRUE)); > load("dataset.R"); > library("wle"); > data.wle = wle.lm(abortion ~ year * lib.con + age + gender + + urbanism + census + income + church.att + children + educ + + religion.imp, data =

Hello, I just installed R-2.6.0 on my computer (OSX 10.4.10, ppc) and get the following message when I try to load the library stats: > library(stats) Error in dyn.load(file, ...) : kann shared library '/Library/Frameworks/R.framework/Resources/ library/stats/libs/ppc/stats.so' nicht laden: dlopen(/Library/Frameworks/R.framework/Resources/library/stats/libs/ ppc/stats.so,

Dear [R]-list, I am trying to do a pdf() of the following graphs but don't understand why the pdf() function does produce an empty pdf file. (I use R1.7.0 on MacOS 10.2.8) any idea? Is pdf() incompatible with screen? Thanks a lot, DLC ## create dataset x=rnorm(1000,10,2) y=rpois(1000,5) ## graphs pdf() par(col.main=4,omi=c(0,0,1.25,0)) split.screen(c(1,2))

Hi, all When I am using mle.cv(wle), I find a interesting problem: I can't do leave-one-out cross-validation with mle.cv(wle). I will illustrate the problem as following: > xx=matrix(rnorm(20*3),ncol=3) > bb=c(1,2,0) > yy=xx%*%bb+rnorm(20,0,0.001)+0 > summary(mle.cv(yy~xx,split=nrow(xx)-1,monte.carlo=2*nrow(xx),verbose=T), num.max=1)[[1]] mle.cv: dimension of the split subsample

Buenas tardes, Estoy intentando ajustar distribuciones utilizando un vector de ponderación en los datos (Weighted Likelihood). ¿Existen paquetes en R que resuelven esto? He mirado ya el paquete "wle" pero no me permite introducir los pesos mediante los cuales ponderar los datos. En un primer momento, se me ha ocurrido realizar lo siguiente: repetir cada elemento del vector datos

I haven't seen this cryptic warning before: > update.views('Robust') Warning message: In update.views("Robust") : The following packages are not available: covRobust, distr, FRB, MASS, mblm, multinomRob, mvoutlier, quantreg, RandVar, rgam, RobAStBase, robfilter, RobLox, RobRex, robust, RobustAFT, robustbase, ROptEst, ROptRegTS, rrcov, sandwich, wle >

======================================================================= Simple CRAN packages which do not compile without modifications (all others do) ======================================================================= -- akima /usr/bin/ld: multiple definitions of symbol _idlc_ -- fracdiff /usr/bin/ld: multiple definitions of symbol _gammfd_ (and others) -- odesolve --

I have re-built all the compiled packages for R 1.2.0 for Windows, and the set available in CRAN/bin/windows/contrib are now for rw1020. If you are upgrading to rw1020, please replace all the compiled packages you have downloaded by ones from this set. There a few packages available for the first time: RMySQL mlbench netCDF and a few that are not yet running on 1.2.0 on any platform hdf5

I have re-built all the compiled packages for R 1.2.0 for Windows, and the set available in CRAN/bin/windows/contrib are now for rw1020. If you are upgrading to rw1020, please replace all the compiled packages you have downloaded by ones from this set. There a few packages available for the first time: RMySQL mlbench netCDF and a few that are not yet running on 1.2.0 on any platform hdf5

Hola! Anybody knows if there exists somewhere in R some implementation of robust Poisson regression, where robust is taken in the sense as usen in rlm(MASS). I found something in the package wle, but only for the Poisson distribution, not for regression. For the moment I try to use linear models with the square-root transformation, and rlm. Kjetil -- Kjetil Halvorsen. Peace is the most

Here's a more general question following up on the specific question I asked earlier: Can anybody recommend an R command other than mle.aic() (from the wle package) that will give back a ranked list of submodels? It seems like a pretty basic piece of functionality, but the closest I've been able to find is stepAIC(), which as far as I can tell only gives back the best submodel, not a

Hi, I have the response variable 'Y' and four predictors say X1, X2, X3 and X4. Assuming all the assmptions like Y follows normal distribution etc. hold and I want to run linear multiple regression. How do I run the stepwise regression (forward as well as the backward regression). >From other software (i.e. minitab), I know only X1 and X2 are significant so my regression equation

Hi All: Package TSERIES is stated to depend on MVA. However, there is no MVA package to be found under the list of package sources. Best wishes, ANDREW tseries: Package for time series analysis Package for time series analysis with emphasis on non-linear and non-stationary modelling Version: 0.7-6 Depends: ts, mva, quadprog Date: 2001-08-27 Author: Compiled by Adrian

I know this a newbie question, but I've only just started using AIC for model comparison and after a bunch of different keyword searches I've failed to find a page laying out what the differences are between the AIC scores assigned by AIC() and mle.aic() using default settings. I started by using mle.aic() to find the best submodels, but then I wanted to also be able to make comparisons

Hello. I've read through the dragon age wine appdb page, installed all the requisite stuff through winetricks, used a fresh prefix and all that, but my dlc in dragon age is always showing up as unauthorized. I'm pretty sure the dragon age updater service is running, it just can't seem to see my account as being authorized to use the dlc. I have in fact bought a couple of dlc's such

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Folks, I'm kind of newbie in R, but with some background in Matlab and VBA programming. Last month I was implementing a Maximum Likelihood Estimation in Matlab, but the algorithms didn't converge. So my academic advisor suggested using R. My problem is: estimate a mean reverting jump diffusion parameters. I've succeeded in deriving the likelihood function (which looks like a gaussian

Hi all, I have Samba server joined Active Directory domain based on win2008r2, using LDAP as idmap backend. Recently I upgraded from 3.3.x to 3.5.x (Sernet RPMs for Centos4). Now I constantly observe those messages in log: [2011/02/03 09:10:25.696896, 0] winbindd/idmap_ldap.c:1471(idmap_ldap_set_mapping) ldap_set_mapping_internals: Failed to add S-1-5-21-3807515285-1394671770-2144936185-513

Hello, I read with disbelief on the Dragon Age wine appdb page that people actually have working dlc in Dragon Age Origins. This flies in the face of absolutely everything I've seen in my experience with the game. I've installed via Steam, installed the prerequisite windows crap through winetricks (dotnet30, physx, vcrun6, vcrun2005 vcrun2008, and everything else). I've manually