search for: credibly

Displaying 20 results from an estimated 223 matches for "credibly".

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2009 Aug 16
2
Question regarding finding credible interval using r2winbugs
Dear I am trying to find a 90% credible interval. I am using the following code. fit<-bugs( model.file=BUGScode, data=data, inits = list(geninits1,geninits2), parameters.to.save=keepers, n.chains=nchains, n.iter=runs, n.burnin=burn, n.thin=nthin, DIC= TRUE, bugs.directory="C:/Program Files/WINBUGS.14", \ ) But this is only giving 95%
2011 Jun 16
2
Bayesian Credible Intervals for a Proportion
I am trying to calculate Bayesian Credible Intervals for a proportion (disease prevalence values to be more specific) and am having trouble using R to do this. I am working with ncredint() function but have not had success with it. Please help! Example: Positive samples = 3 Total sampled = 10 Prevalence = 0.3 pvec <- seq(1,10,by=1) npost = dbinom(pvec,10,prob=0.3, log=FALSE) ncredint(pvec,
2012 Apr 06
2
Bayesian 95% Credible interval
Hi all, I have the data from the posterior distribution for some parameter. I want to find the 95% credible interval. I think "t.test(data)" is only for the confidence interval. I did not fine function for the Bayesian credible interval. Could some one suggest me? Thanks [[alternative HTML version deleted]]
2011 Jun 19
1
Multivariate HPD credible volume -- is it computable in R?
Hi all, I'm new to the list and am hoping to get some advice. I have a set of multivariate data and would like to find the densest part of the data cloud containing 95% of the data, like a 95% HPD credible volume. Is there any R code available to compute that? Thank you very much! Your help and patience are much appreciated. G.S. [[alternative HTML version deleted]]
2009 Aug 17
2
Polygon function
Dear all, I would like to plot credible interval for a function estimate in R. I would like to plot the credible intervals as shaded region using polygon function. Does anyone ever used that? I tried several times but I could not obtain the right figure. xis=sort(xi,decreasing=TRUE) plot(xi,fm) polygon(c(xi,xis),c(f05m,f95m)) The above piece of code produces something else. Many thanks in
2017 Jun 30
4
[Fwd: CIA Outlaw Country attack against CentOS / Rhel (and Fedora?) Is this credible?]
Do you know this? Dario ------- Messaggio inoltrato ------- Da: stan <stanl-fedorauser at vfemail.net> Reply-to: Community support for Fedora users <users at lists.fedoraproject.org> A: users at lists.fedoraproject.org Oggetto: CIA Outlaw Country attack against CentOS / Rhel (and Fedora?) Is this credible? Data: Thu, 29 Jun 2017 15:51:43 -0700 Wikileaks released a document about an
2017 Jun 30
0
[Fwd: CIA Outlaw Country attack against CentOS / Rhel (and Fedora?) Is this credible?]
> Do you know this? "For operational use, shell access is assumed, and root privileges are required." It's not much of a secret that you can mess with a system if you have root access... Yves Bellefeuille <yan at storm.ca>
2007 Nov 16
0
New version of actuar
UseRs, Version 0.9-4 of actuar should be making its way to CRAN mirrors. The main highlights of this new version are speed enhancements for a few functions, support for phase-type distributions and functions for ruin theory. The relevant section of the NEWS file follows Version 0.9-4 ============= Maintenance and new features release. NEW FEATURES -- LOSS DISTRIBUTIONS o Functions
2007 Nov 16
0
New version of actuar
UseRs, Version 0.9-4 of actuar should be making its way to CRAN mirrors. The main highlights of this new version are speed enhancements for a few functions, support for phase-type distributions and functions for ruin theory. The relevant section of the NEWS file follows Version 0.9-4 ============= Maintenance and new features release. NEW FEATURES -- LOSS DISTRIBUTIONS o Functions
2002 Jun 24
10
code optimization
I have a function "eval.delta" which does what I want but isn't very elegant. I have consulted the R documents, MASS, and S Programming. Is there a practical way to optimize the code? Thank you very much. Peter B. Function: eval.delta <- function(delta){ cat("VALUES\n") vlr <- NULL k <- 0 for(j in 1:length(delta)) if(delta[j] <= 2){
2007 Apr 23
0
New version of actuar
UseRs, actuar is a package for Actuarial Science. A rather preliminary version (0.1-3) of the package has been available on CRAN since February 2006. We now announce the immediate availability of version 0.9-2 sporting a large number of new features. Non actuaries behold! There can be some features of interest for you, especially those related to new probability distribution and to the
2007 Apr 23
0
New version of actuar
UseRs, actuar is a package for Actuarial Science. A rather preliminary version (0.1-3) of the package has been available on CRAN since February 2006. We now announce the immediate availability of version 0.9-2 sporting a large number of new features. Non actuaries behold! There can be some features of interest for you, especially those related to new probability distribution and to the
2010 Aug 03
1
Metafor
This is a question of clarification. IN 2009 Higgins, Thompson and Spiegelhalter (J R Statist Soc A 172:137-159) gave WinBUGs code to get credible intervals from random effects meta analysis for the prediction interval of a new study. It appears that the predict.rma function creates approximate credible intervals (pending a function revision by the author) for that purpose. Is my assumption
2002 Apr 29
0
code optimization
Try this: split(delta,cut(delta, breaks=c(0,2,4,7,10,max(delta)),include.lowest=T)) $"[0,2]" [1] 0.0 1.4 2.0 2.0 $"(2,4]" [1] 2.3 2.3 $"(4,7]" [1] 4.5 6.4 $"(7,10]" [1] 8.9 7.4 $"(10,12.4]" [1] 12.4 11.5 "Peter B. Mandeville" <mandevip at uaslp.mx>@stat.math.ethz.ch on 06/24/2002 13:11:41 Sent by: owner-r-help at
2004 Jan 03
2
STOP THIS THREAD New to asterisk? RUN... don't walk.
Hi All, Can we stop this thread pl. This lady has no intentions to learn asterisk. She is just a troll and wasting our time. With her corporate attitude, what she expects is support that available with paid commercial products. Her company has enough money to buy commercial products, let she go there. Hey lady, whoever u are, dont waste our time. this is not for u. Lets move on to something
2008 Sep 15
0
New version of actuar
=== actuar: An R Package for Actuarial Science === We are pleased to announce the immediate availability of version 1.0-0 of actuar. This release follows publication of our papers in JSS (*) and R News (**). From the NEWS file: Version 1.0-0 ============= NEW FEATURES o Improved support for regression credibility models. There is now an option to make the computations with the
2008 Sep 15
0
New version of actuar
=== actuar: An R Package for Actuarial Science === We are pleased to announce the immediate availability of version 1.0-0 of actuar. This release follows publication of our papers in JSS (*) and R News (**). From the NEWS file: Version 1.0-0 ============= NEW FEATURES o Improved support for regression credibility models. There is now an option to make the computations with the
2011 Mar 20
2
Question about "extracting" unwanted e-mails from mdbox
Imagine the following scenario Last Saturday, 3:00 AM a big phishing attack hits our e-mail inboxes. Spamassassin does not mark them as spam, and our 50.000+ users have in their mdbox a very credible phishing attack. What doveadm-fu could I use to delete (or move to spam) that e-mail from each user INBOX (let?s imagine the Subject or a Header is known)? I repeat: already delivered e-mail, how
2019 Nov 14
4
how to know when a system is compromised
How do you know when a Linux system has been compromised?? Every day I watch our systems with all the typical tools, ps, top, who, I watch firewall / IPS logs, I have logwatch setup and mailing daily summaries to me and I dive deeper into logs if something looks suspicious. What am I missing or not looking at that you security gurus are looking at? I subscribe to the centos and SANS
2009 Mar 16
0
the effect of blocking on the size of confidence intervals - analysis using lme and lmer
This is a follow-up mail of "the effect of blocking on the size of confidence intervals - analysis using aov". In both mails I pursue the idea of using blocking factors in order to reduce the width of confidence intervals. My dataset comprises, a quantitative response variable, namely: "response", and three categorical eplanatory variables, namely: "method",