similar to: rtmvt

I have been using the rtmvt function in the {tmvtnorm} package i'm getting the warning: "Acceptance rate is very low and rejection sampling becomes inefficient. Consider using Gibbs sampling." but i AM specifying the gibbs algorithm!!: rtmvt(M, mean=q[,,i,j], sigma=((u[i,j] + nu[i])/(p+nu[i]))*delta[,,i], df=ceiling(nu[i]+p), lower=c(0,0), algorithm="gibbs") Any

Dear R users, the tmvtnorm package, the package for the truncated multivariate normal and Student-t distribution, has been updated on CRAN. The major changes in version 1.0-2 (2010-03-04) are: * The package now provides methods for the truncated multivariate Student-t distribution, i.e. random number generation, density function, distribution functions like rtmvt(), dtmvt() und ptmvt() and

Dear R users, the tmvtnorm package, the package for the truncated multivariate normal and Student-t distribution, has been updated on CRAN. The major changes in version 1.0-2 (2010-03-04) are: * The package now provides methods for the truncated multivariate Student-t distribution, i.e. random number generation, density function, distribution functions like rtmvt(), dtmvt() und ptmvt() and

I am sampling from the truncated multivariate student t distribution "rtmvt" in the package {tmvtnorm}. My question is about the mean vector. Is it possible to define a mean vector outside of the truncated region? Thank you in advance for any help. -- View this message in context: http://r.789695.n4.nabble.com/truncated-distributions-tp3422245p3422245.html Sent from the R help mailing

>>>>> David Winsemius <dwinsemius at comcast.net> >>>>> on Tue, 9 May 2017 14:33:04 -0700 writes: >> On May 9, 2017, at 2:05 PM, Czarek Kowalski <czarek230800 at gmail.com> wrote: >> >> I have already posted that in attachement - pdf file. > I see that now. I failed to scroll to the 3rd page. from a late reader:

Hello! I am trying to generate a sample from a truncated multivariate normal distribution using rtmvnorm. I am using Gibbs because my alpha (line below) is teeny-tiny ( 4.083475e-64 ) alpha = pmvnorm(lower=lower, upper=upper, mean=btilde, sigma=MyVarCovar). When I try my Gibbs run, it takes quite a long time (with 10,000 iterations and 5,000 iterations burn-in) ~ 22 sec. And then what I get is

Dear Members, I am working with 6-dimensional Student-t distribution with 4 degrees of freedom truncated to [20; 60]. I have generated 100 000 samples from truncated multivariate Student-t distribution using rtmvt function from package ?tmvtnorm?. I have also calculated mean vector using equation (3) from attached pdf. The problem is, that after summing all elements in one column of rtmvt result

Hello! I was wondering if it's possible to see the actual code of checkTmvArgs function that is part of the code for rtmvnorm (which is below - I just typed "rtmvnorm" on the prompt). I get an error: Error in checkTmvArgs(mean, sigma, lower, upper) : sigma must be a symmetric matrix At the same time I am pretty sure that the matrix I am passing as sigma is a var-covar matrix

When sampling from a multi-variate truncated normal using rtmvnorm from the tmvnorm-package, I experience extreme performance differences between two of my computers. On my laptop computer, draws take ~5s, on my desktop ~30s. I need to run MCMCs with repeat calls to rtmvnorm on my desktop. The code in both cases is exactly the same. rtmvnorm seems not to have any machine dependent defaults

Hi, dear all, I wish to get one sample (2500-d vector) from the truncated multivariate normal distribution, so I choose use the R function rtmvnorm() to do this. But the error information shows that for this function, the dimension should be lower than 1000, So could you help me to find out if there's any solution could do such sampling from a truncated multivariate normal distribution

I am working with the pmt function in the {mnormt} package, and i am getting negative values returned. the following is an example of one of my outputs: pmt(x = c(3.024960, -1.010898), mean = c(21.18844, 21.18844), S = matrix(c(.319,.139,.139,0.319), 2, 2),df = 42) # -6.585641e-18 Any help on why i'm getting negative numbers would be very much appreciated. THanks! -- View this message in

Is there any way to know how the "dmvt" function computes the hypergeometric function needed in the calculation for the density of multivariate t distribution? -- View this message in context: http://r.789695.n4.nabble.com/hypergeometric-function-in-mvtnorm-tp4483730p4483730.html Sent from the R help mailing list archive at Nabble.com.

I am trying to use the dmt function in the package {mnormt}. Throughout my algorithm, the covariance matrix is sometime calculated to be singular. When attempting to calculate the dmt function with a covariance that is not positive definite, I would like it to return Inf or NaN instead of an error message. I have been using the try function, however it is not yeilding the desired result. (I did

Dear R users, the tmvtnorm package, the package for the truncated multivariate normal distribution, has been updated on CRAN. The major changes in version 0.8 are: * Reimplemented the Gibbs' sampler for random number generation in Fortran for performance reasons. This compiled code is now even faster than conventional rejection sampling and allows for the generation of large amounts of

Dear R users, the tmvtnorm package, the package for the truncated multivariate normal distribution, has been updated on CRAN. The major changes in version 0.8 are: * Reimplemented the Gibbs' sampler for random number generation in Fortran for performance reasons. This compiled code is now even faster than conventional rejection sampling and allows for the generation of large amounts of

I have a symmetric matrix B (17x17), and a (17x17) square matrix A. If do the following matrix multiplication I SHOULD get a symmetric matrix, however i don't. The computation required is: C = t(A)%*%B%*%A here are some checks for symmetry > (max(abs(B - t(B)))) [1] 0 > C = t(A)%*%B%*%A > (max(abs(C - t(C)))) [1] 3.552714e-15 Any help on the matter would be very much appreciated.

Just to avoid possible confusion, let me correct a typo (at step [2] in the example below). Apologies! -----FW: <XFMail.111023084327.ted.harding at wlandres.net>----- Date: Sun, 23 Oct 2011 08:43:27 +0100 (BST) Sender: r-help-bounces at r-project.org From: (Ted Harding) <ted.harding at wlandres.net> To: r-help at r-project.org Subject: Re: [R] symmetric matrix multiplication On

CRAN (and crantastic) updates this week New packages ------------ * apcluster (1.0.1) Ulrich Bodenhofer http://crantastic.org/packages/apcluster The apcluster package implements Frey's and Dueck's Affinity Propagation clustering in R. The algorithms are analogous to the Matlab code published by Frey and Dueck. * BioPhysConnectoR (1.6-1) Franziska Hoffgaard

CRAN (and crantastic) updates this week New packages ------------ * disclapmix (0.1) Maintainer: Mikkel Meyer Andersen Author(s): Mikkel Meyer Andersen and Poul Svante Eriksen License: GPL-2 http://crantastic.org/packages/disclapmix disclapmix makes inference in a mixture of Discrete Laplace distributions using the EM algorithm. * EstSimPDMP (1.1) Maintainer: Unknown Author(s):

Hola, Tengo un problema cuando trato de leer datos que contienen caracteres en Unicode en R 2.10 (windows). La tabla que trato de leer tiene caracteres en Unicode en el nombre de las columnas ( si los tiene en el nombre de las filas no falla aunque me modifica el nombre ) La linea que utilizo es: read.table("example_unicode.txt", sep="\t", dec=".", header=T,