search for: iwls

Hi, I am thinking about IWLS vs ML estimation. When I use glm() for a 2-parameter distribution (e.g., Weibull), I can otain the MLE of scale parameter given shape parameter through IWLS. Because this scale parameter usually converges to the MLE. In this point, I am wondering: i) can you say that the direct MLE, which is obt...

This is just a reposting of the patch that enables endian checks, with addition of trivial patches that drop __bitwise__ and __CHECK_ENDIAN__ everywhere. I plan to include this in my pull request unless I hear otherwise. Michael S. Tsirkin (8): linux/types.h: enable endian checks for all sparse builds tools: enable endian checks for all sparse builds Documentation/sparse: drop __bitwise__

This is just a reposting of the patch that enables endian checks, with addition of trivial patches that drop __bitwise__ and __CHECK_ENDIAN__ everywhere. I plan to include this in my pull request unless I hear otherwise. Michael S. Tsirkin (8): linux/types.h: enable endian checks for all sparse builds tools: enable endian checks for all sparse builds Documentation/sparse: drop __bitwise__

...) in c and I've been using glm to check my results. I came across a data set that has a very high condition number (the data matrix transpose the data matrix) that when running my solver does not converge, but the same data set with glm was converging ( I love R :) ). I noticed that glm using IWLS to solve the MLE problem I also noticed that the results from glm suggest that glm checks for complete separation for variables. Besides this check for variable separation is glm doing anything else besides a straight implementation to IWLS that would allow it to converge for a near ill-posed data...

Dear R users, I use the glm() function to fit a generalized linear model with gamma distribution function and log link. I have read in the help page that the default method used by R is "glm.fit" (iteratively reweighted least squares, IWLS). Is it possible to use maximum likelihood method? Thanks Silvia Narduzzi Dipartimento di Epidemiologia ASL RM E Via di S. Costanza, 53 00198 Roma Tel +39 06 83060461 Mail narduzzi at asplazio.it

__bitwise__ used to mean "yes, please enable sparse checks unconditionally", but now that we dropped __CHECK_ENDIAN__ __bitwise is exactly the same. There aren't many users, replace it by __bitwise everywhere. Signed-off-by: Michael S. Tsirkin <mst at redhat.com> --- arch/arm/plat-samsung/include/plat/gpio-cfg.h | 2 +- drivers/md/dm-cache-block-types.h | 6

Hi, Does anyone know if there is a function to find the maximum likelihood estimates of glm using Newton Raphson metodology instead of using IWLS. Thanks Valeska Andreozzi -------------------------------------------------------- Department of Epidemiology and Quantitative Methods FIOCRUZ - National School of Public Health Tel: (55) 21 2598 2872 Rio de Janeiro - Brazil

...m the function hatvalues. For logistic regression, this can be performed by splitting up each observation into response and nonresponse, and using weights as described in Heinze, G. and Schemper, M. (2002), but I'm unsure of how to implement the analogue for log-linear models. A procedure using IWLS is described by Firth (1992) in Dodge and Whittaker (1992), but this book isn't in the local library, and its $141+ on Amazon. I've tried looking at the code in the logistf and brlr libraries, but I haven't had any (successful) ideas. Can anyone help me in describing how to implement th...

Hi! I get high cpu usage on my laptop (yes im running Centos on my laptop) after my last update. At the beginning i though it was libvrtd but after stopping it gnome monitor keep showing high cpu usage although i couldnt find the app that was responsible for it with the top command. I searched my log files and I saw alot of iwlwifi message. I had to turn off wifi in order to stop high cpu

Hi, I'm trying to use my wireless connection on a HP 8530w laptop with no success. My OS : CentOS 5.2 x86_64 (kernel 2.6.18-92) The wifi card is : Intel PRO 5300 Is somenone try it with success ? Please, any help will be appreciated. Best regards. __________________________ Ce message (et toutes ses pi?ces jointes ?ventuelles) est confidentiel et ?tabli ? l'intention exclusive de

Dear All, i'm working on this Centos6.5 laptop, fully updated *# uname -a** **Linux jvermeulen.ict 2.6.32-431.el6.x86_64 #1 SMP Fri Nov 22 03:15:09 UTC 2013 x86_64 x86_64 x86_64 GNU/Linux* It's an Acer Aspire E1-571. I can't get the Intel Centrino N 6235 to work. I've used this card on several different types of laptops and never had any trouble. I think I have the packages

...(NULL) (138.251.202.115) I think there is a problem when computing Pearson residuals, in that they seem to be computed at the raw residuals divided by the square root of the corresponding diagonal element of the weight matrix W evaluated at the last step of the iterative model fitting procedure (IWLS), instead of dividing by the square root of the model variance. Here's an example of the weird effects it produces: > me <- c(1:100)/2 > y <- rpois(100,me) > yglm <- glm(y~me-1, family=poisson(link="identity")) > plot(fitted(yglm), residuals(yglm,type="respo...

...e hacked a fix, given in the patch below. It works for me but may > break other code. I avoid data.frames like the plague so have little > to test it on. I had to use them in glmm to communicate with glm in > certain contexts but I now think I would have been much better off > rewriting IWLS from scratch. No patch is needed, data.frame just doesn't work like that: > df <- data.frame(y=cbind(rpois(20,4),rpois(20,4)),x=rnorm(20)) > names(df) [1] "y.1" "y.2" "x" > df <- data.frame(y=I(cbind(rpois(20,4),rpois(20,4))),x=rnorm(20)) > n...

Does anyone know what algorithm R uses in glm, family=binomial (i.e. a logit model)? I assume that it's in the source somewhere, but I wasn't able to find it. I'd like to know what file it's in (in a unix distribution of R). Thanks for your help. --------------------------- Barnet Wagman wagman at enteract.com 1361 N. Hoyne, 2nd floor Chicago, IL 60622 773-645-8369

Hi, is there a possibility to calculate the different "types" of residuals directly using the multinom function from MASS as it is possible for the functions gam, glm using type="deviance" or "working" or "pearson" or "response"? I tried it but got always the "response" type, I guess. thanx Matthias

can anyone tell me how can i control the method of estimation (i.e. scoring method or Newton raphson method) in glm and compute deviance function ? -- View this message in context: http://r.789695.n4.nabble.com/changing-method-of-estimation-in-GLM-tp3170836p3170836.html Sent from the R help mailing list archive at Nabble.com.

Full_Name: saraux Version: 2.6.1 OS: Windows vista Submission from: (NULL) (193.157.180.37) I would like to compute a glm with a distribution of poisson, using a maximum of likelihood method. But it seems not to work with a distribution of poisson. The same code with another distrubution (binomial for example) works. Here is the command I typed:

Hello all, I'm sure I'm missing something simple here, but I can't figure out how to modify the glm.fit() function and then get R to use it (sort of). I'm doing something along the lines of: glm.fit<-edit(glm.fit) # add something trivial to the top of the glm.fit function like: print("Hello world!") #now have a modified glm.fit in position 1/.GlobalEnv

I installed Centos 6.4 on my laptop and neither of the network interfaces will work. When I boot up to windows both the wired and the wireless network interfaces work. I have attached dmesg output for the wireless card. Reading through the messages it appears that OS cannot talk to the NIC. -- Selwyn Schultz selwynsr at gmail.com c. 616-836-8896 -------------- next part --------------

Dear R-help, I have used the regsubsets function from the leaps package to do subset selection of a logistic regression model with 6 independent variables and all possible ^2 interactions. As I want to get information about the statistics behind the selection output, I?ve intensively searched the mailing list to find answers to following questions: 1. What should I do to get the statistics