search for: learnbayes

Full_Name: Robert Peck Version: 2.8.1 OS: XP Home Submission from: (NULL) (71.168.114.196) There are some packages that I cannot install on my PC. Example: LearnBayes The following output is sent back: > utils:::menuInstallPkgs() trying URL 'http://www.ibiblio.org/pub/languages/R/CRAN/bin/windows/contrib/2.8/LearnBayes_2.0.zip' Content type 'application/zip' length 379068 bytes (370 Kb) opened URL downloaded 370 Kb package 'LearnBayes...

...se it to learn Bayesian analysis and some similar stuff. Actually I bought Peter Dalgaard's "Introductory Statistics with R? yesterday figuring the refresh - and R practice - would be good before starting Jim Albert's book. So all I really need now is to install the packages ISwR and LearnBayes (actually would like to throw in LearnEDA also). Now I have downloaded all three packages. But R doesn't recognize then and won't install them. I have approximately 30 other packages (some standard of course) that are downloaded and installed. Maybe the following information can be used...

...ptop for 3 days now. After struggling for much of that time to install R, I finally figured out that Dell shipped with the sources.list obsolete or just plain wrong. So I finally got it installed last night (for some reason v2.6.2, not v2.9.x). This morning I was able to download and install the LearnBayes package. My biggest problem right now is that I don't know how to run R except as a local-directory command in the Terminal. Certain R commands cause the terminal to go into some changed state and not take any more commands. Right now for example I ahve a last line that is darkened in over (E...

Cada vez que intento cargar el paquete "agricolae" me da el siguiente mensaje: Error: package or namespace load failed for 'agricolae' in loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]]): there is no package called 'spData' He intentado todo actualizar los paquetes, volverlos a instalar pero no hay forma. Si sabeis la solución ?? Un saludo. Juan

...omehow measure effective model complexity) Both I would extract from the MCMC-trace. Sounds simple? It possibly is - just not for me. I compared several MCMC algorithms implemented in R, from Win/OpenBUGS over MCMCmetrop1R (MCMCpack; my current favourite) and metrop (mcmc) to gibbs and rwmetrop (LearnBayes) and gibbs_met (gibbs.met). These implementations differ dramatically in efficiency (MCMCmetrop1R was over 20 times faster than gibbs_met). Since my functions can be complex (mainly ODEs, complex environmental models programmed in Fortran or C to be called by the system-function), I cannot use...

...e. What might an Education Task View look like? Right off the top of my head, there seem to be at least the following four loose categories: * packages associated with a specific book/text/monograph (many of these...) * packages specifically designed with education in mind (e.g. TeachingDemos, LearnBayes, epibasix, tutoR, schoolmath, ...) * packages perhaps not specifically designed for educ, but nevertheless are useful in the classroom (actuar, distr family, financial, hints, urn, ...) * GUIs: selected GUIs that provide interfaces to common course topics/demos, or that professors might use to in...

Dear list, I'd like to test the null hypothesis of independence in a 2*2 contingency table in a Bayesian way. As far as I can see, this can be done by the function ctable in library LearnBayes. (More precisely, a Bayes factor can be computed.) Two questions: 1) Is there any other package/function than can be used for this in a more or less straightforward manner? 2) The ctable help page explains the parameter a as "a: matrix of prior hyperparameters", but it is not explained...

...sume we have a beta distribution. > I know one quantile, lets say, 10% of the mass lies above .8, that is > between .8 and 1. > In addition, I know that the average of this "truncated tail" is a > given number, lets say .86. > I have found the beta.select function in the LearnBayes package, which > is as follows: > > function (quantile1, quantile2) > { > betaprior1 = function(K, x, p) { > m.lo = 0 > m.hi = 1 > flag = 0 > while (flag == 0) { > m0 = (m.lo + m.hi)/2 > p0 = pbeta(x, K *...

...e is the code (from Bayesian Computation with R - Chapter 2.3.R) that I am trying to run #################################### # Section 2.3 Using a Discrete Prior #################################### graphics.off() # Close all graphics rm(list=ls()) # Clear all variables library(LearnBayes) library(lattice) p = seq(0.05, 0.95, by = 0.1) prior = c(1, 5.2, 8, 7.2, 4.6, 2.1, 0.7, 0.1, 0, 0) prior = prior/sum(prior) windows() plot(p, prior, type = "h", ylab="Prior Probability") post = pdisc(p, prior,c(11, 16)) print(round(cbind(p, prior, post),2)...