similar to: Akaike's Final Prediction Error (FPE)

I am working on Johansen cointegration test, using urca and var package. in the selection of var, I have got following results. >VARselect(newd, lag.max = 10,type = "none") $selection AIC(n) HQ(n) SC(n) FPE(n) 6 6 6 5 $criteria 1 2 3 4 5 6 7 8 9 AIC(n) -3.818646e+01 -3.864064e+01

thank you for your valuable reply. I have attached my commands, results, and data with this mail..maybe it will be beneficial for you to feedback. On Tue, Nov 21, 2017 at 9:13 PM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote: > Your example is incomplete... as the bottom of this and every post says, > we need to be able to proceed from an empty R environment to wherever you

Your example is incomplete... as the bottom of this and every post says, we need to be able to proceed from an empty R environment to wherever you are having the problem (reproducible), in as few steps as possible (minimal). The example needs to include data, preferably in R syntax as the dput function creates... see the howtos referenced below for help with that. [1], [2], [3] You also need to

Hello, I am comparing models made with nlme functions and non-nlme functions, based on Akaike's AIC. The AIC values I get for exactly the same model formulation --for example a linear model with no random effects fit with gls and lm, respectively-- do not fit, although the values of the four model parameters are exactly the same. For example: m1 <- gls(height ~ age, data = Loblolly) m2

Hello all, i hope you don't mind my off topic question. i want to use the Akaike criterion for variable selection in a regression model. Does anyone know some basic literature about that topic? Especially I'm interested in answers to the following questions: 1. Has (and if so how has) the criterion to be modified, if i estimate the transformations of the variables too? 2. How is the

Mr Sidebotham I wanted to thank you for posting your fix of the camera recognition problem for FPC. I just updated to Tiger (I usually wait 6 months after new introductions) and was shocked at the discovery of the non-recognition and crash. I am currently working your fix. Even if it dose not work for me, I want to thank you for posting such a useful message. -- William H. Rosenblatt, MD

This machine is running CentOS 5.3, fully updated Linux mavis.localdomain 2.6.18-128.1.6.el5 #1 SMP Wed Apr 1 09:19:18 EDT 2009 i686 athlon i386 GNU/Linux. Video is an ATI Radeon 9000. X froze overnight and attempts to restart it fail. I tried an old kernel (2.6.18-92.1.22.el5) before realizing that root can start X and a virgin user can start X. I still can't use my original user name.

How can I do a simple k nearest neighbor regression in R? My training data have 1 predictor and 1 outcome, both are numeric. I also need to use FPE and SC to find the optimal model. I know there is knn() in class package, but it's for knn classification. I also find a kknn package. What function should I use? Thanks in advance! Menghui

nmbd has been dying on me occasionally. I'm running mandrake 9.2 with samba3-server-3.0.0-2mdk. We've got our users in ldap but I'd seen this symptom previously when I was using an earlier version of samba that didn't support ldap. There is nothing useful in the logs and a PS shows a nmb process still running. This last time around, I had a ptrace running on both nmbd

Hi Timo et all. At last I found with unix socket wouldn't connect and it works now. However after auth, imap crashes with signal 6. This happens on 1 machine, the other (unixware too) work fine. The stack trace doesn't make much sense here it is anway... Core image of imap (process p1) created CORE FILE [makedev in cmd-status.c@sys/mkdev.h] SIGNALED 8 (fpe code[FPE_INTDIV]

What about ARM target ? I mean iPhone/iPod Touch has an ARM11 with a FPE and a VFPE. Does llvm-gcc 2.2 generates better code for them ? I'm a bit disappointed about the llvm-gcc 2.0 I tried for my iPod Touch as I saw it generated ARM code not very optimically : r7(apparently used like a frame pointer even when -fomit-frame-pointer is given) largely overused, generated code like "mov

Hello, I'm using VAR models in R in order to obtain impulse responses of stock market shock on US economy. I have series of quarterly changes in real gdp, S&P 500 and quarterly level of unemployment for 1985 - 2012 period. My series are stationary. So I did all the steps below. However I don't understand what do irf function results mean. These are the cumulative orthogonal responses

hi folks, I'm trying to build a table that contains information about a series of General Linear Models in order to calculate Akaike weights and other measures to compare all models in the series. i have an issue with indexing models and extracting the information (loglikehood, AIC's, etc.) that I need to compile them into the table. Below is some sample code that illustrates my

> -----Original Message----- > From: Cameron McInally <cameron.mcinally at nyu.edu> > Sent: Friday, June 14, 2019 4:02 PM > To: Eli Friedman <efriedma at quicinc.com>; LLVM Developers Mailing List <llvm- > dev at lists.llvm.org> > Cc: Craig Topper <craig.topper at gmail.com>; Kaylor, Andrew > <andrew.kaylor at intel.com> > Subject: [EXT]

Hi, In detectRefreshRateOfScreen(), we have s->redrawTime = 1000 / s->opt[COMP_SCREEN_OPTION_REFRESH_RATE].value.i; When the refresh rate is autodetected through RandR's XRRConfigCurrentRate function, 0 can be returned in certain cases, leading to division by zero. An example of this situation would be the DynamicTwinView option in the nVidia proprietary drivers[0] (note that this

comments? allows % ssh host 'tail -f /var/log/messages | grep bla' ^C Index: clientloop.c =================================================================== RCS file: /cvs/src/usr.bin/ssh/clientloop.c,v retrieving revision 1.86 diff -u -r1.86 clientloop.c --- clientloop.c 24 Oct 2001 19:57:40 -0000 1.86 +++ clientloop.c 29 Oct 2001 19:08:37 -0000 @@ -103,6 +103,8 @@ */ static

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I have a reproducible intermittent error large site - "The specified network name is no longer available". This happens when copying large files. Below is part of log level 10 output & strace. Sorry for the long posting. I will probably need to put the loglevel 10 attached to a bugzilla - but thought I would try the lists initially. RHEL4 samba-3.0.25b-1.el4_6.4

Dear R users (r-help@r-project.org), The definition of AIC (Akaike information criterion) for normal error models has just been changed. Please refer to the paper below on this matter. Eq.(22) is the new definition. The essential part is RSS(n+q+1)/(n-q-3); it is close to GCV. The paper is temporarily available at the "Papers In Press" place. Kunio Takezawa(2012): A Revision of

Odette > Wondering how can I generate "Akaike weight" with R? I know the description, > but is there any function to generate by R on the web-site or R library? > I am using GLM or GLMM (family=binomial), so would be appreciated if you > help me. You could have a look at this. http://bm2.genes.nig.ac.jp/RGM2/R_current/library/aod/man/summary.aic.html Which is in the OAD