similar to: Robust Poisson regression

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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 =

Dear all, i am trying to redo the 'eyestudy' analysis presented on the site http://www.ats.ucla.edu/stat/stata/faq/relative_risk.htm with R (1.9.0), with special interest in the section on "relative risk estimation by poisson regression with robust error variance". so i guess rlm is the function to use. but what is its equivalent to the glm's argument "family"

I had the same problem so i setup up hosts.allow to only allow access from certain ips i require This has the affect of killing the connection from any other ip befor gettign to any login prompt example below sshd : localhost : allow sshd : 192.168.2. : allow sshd : 82.41.115.213 :allow sshd : 216.123.248.219 : allow <-- public ip i wish to allow of course i have changed it sshd : all :

Dear Group, I am having trouble with using rlm on multivariate data sets. When I call rlm I get Error in lm.wfit(x, y, w, method = "qr") : incompatible dimensions lm on the same data sets seem to work well (see code example). Am I doing something wrong? I have already browsed through the forums and google but could not find any related discussions. I use Windows XP and R

Dear [R]-list, I'm looking for a classic equivalent of the wle.gamma function (library wle) that estimate robustly the shape and the scale parameters of gamma data. I have a vector of iid gamma rv : >data=rgamma(100,shape=10,scale=3) and a vector of their weights: >weights=c(rep(.5/70,70),rep(.25/20,20),rep(.25/10,10)) and want to estimate the scale and shape of the gamma

On 06/16/2017 09:07 AM, te-yamauchi at usen.co.jp wrote: > I currently use it in the replica configuration of 3.10.2. > The brick process may not start when restarting the storage server. Also, when using gnfs, the I / O may hang up and become unusable. > After checking the release notes of 3.11.0, the following ID seems to be applicable, so please reflect it if it can be reflected in

¿Existe en R una función Hoy() como en excel? De forma que cada vez que corra un srcipt las funciones que usen como dato la fecha del día se actualicen automáticamente. Gracias [[alternative HTML version deleted]]

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

Hello, I'm trying to do a regression analysis (multiple linear regression) and have to deal with a slight heteroscedascitiy in my data. I've read somewhere that it's possible to use the rlm (robust regression) out of the MASS package in such cases. Is it possible to apply the lm.beta method (from package QuantPsyc) to the returned rlm object and/or is there a way to calculate

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

I currently use it in the replica configuration of 3.10.2. The brick process may not start when restarting the storage server. Also, when using gnfs, the I / O may hang up and become unusable. After checking the release notes of 3.11.0, the following ID seems to be applicable, so please reflect it if it can be reflected in 3.10 series. Also, for items with high urgency Since 3.11.0 has just been

Derek Ragona wrote: >> I tried to implement a similar scheme in my hosts.allow on a FreeBSD >> 5.2.1 server. But when I try to test it from an IP outside my LAN, it >> still allows ssh logins. I even put in a line in hosts.allow to >> explicitly deny the IP I was ssh'ing from, but it still let me in. >> The behavior gives the appearance that TCP wrappers

Hola, tienes las funciones Sys.date y Sys.time(): https://stat.ethz.ch/R-manual/R-devel/library/base/html/Sys.time.html El lun., 13 mar. 2017 a las 19:45, Freddy Omar López Quintero (< freddy.lopez.quintero en gmail.com>) escribió: > Hola. > > Quizás te funcione alguna variación de date(). > > ¡Salud! > > 2017-03-13 15:08 GMT-03:00 Andres Hirigoyen

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 >

Hello, I am interested in performing a stepwise regression using the robust regression technique to estimate the models at each stage. At the moment I am using the lm code and the stepAIC code to select the "best" OLS model. This final model is then re-estimated using the rlm code. I am hoping there is a better was to do this, where at each step of the "stepwise" code the

Dear all, I have been using rlm() for robust regression. Could someone please suggest an appropriate measure of goodness-of-fit [1]? All I've found after trawling the web, literature databases, and previous r-help posts, is the "robust R^2" on pp. 362-363 of the S-plus manual, which is available at http://web.mit.edu/afs/athena/software/splus_v7.0/www/statman1.pdf (7.57 MB)

======================================================================= 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