similar to: RE: mvtnorm package installation failure

Hi Dirk, It was actually Debian "testing" that has R 1.4.0. Debian "stable" has R 0.9 or something really old like that. Anyways, I did what A.J. Rossini suggested: # apt-get install libreadline4-dev Then I installed R-1.5.1 from Debian "unstable". The installation of "mvtnorm" has no trouble after this. I think that you are probably right: the

Jonathan, > I tried to re-intall R from Debian "stable", in which R's version is 1.4.0. And the installation > of "mvtnorm" works. Debian's own "stable" R is way older; this must have been a user-contributed one. And I suspect that it was build without readline support (see below). > I then re-installed R yet again from Debian

Hi, Thank you for the tip. I tried to re-intall R from Debian "stable", in which R's version is 1.4.0. And the installation of "mvtnorm" works. I then re-installed R yet again from Debian "unstable" (woody), in which R's version is 1.5.1. The installation of "mvtnorm" fails again with the same error message. Another package that failed with the

Hi all, I tried to install the mvtnorm library on linux (mandrake version) and i obtained the following result : /usr/bin/ld: cannot find -lreadline collect2: ld returned 1 exit status make: *** [mvtnorm.so] Erreur 1 ERROR: compilation failed for package 'mvtnorm' Could you help me ? Best regards, Olivier

Hi all, I've been trying to install the "mvtnorm" package (in a Linux R version) without sucess. I write install.packages("mvtnorm",lib="/home/posmae/cnaber",repos="http://cran.uk.r-project.org/") and the following message arises ================================================== downloaded 160Kb * Installing *source* package 'mvtnorm'

Announcement: mvtnorm Multivariate Normal and T Distribution mvtnorm implements two R functions for the computation of the multivariate t and normal distribution: pmvt: Computes the the distribution function of the multivariate t distribution for arbitary limits, degrees of freedom and correlation matrices based on algorithms by Genz and Bretz. pmvnorm: Computes the distribution

Announcement: mvtnorm Multivariate Normal and T Distribution mvtnorm implements two R functions for the computation of the multivariate t and normal distribution: pmvt: Computes the the distribution function of the multivariate t distribution for arbitary limits, degrees of freedom and correlation matrices based on algorithms by Genz and Bretz. pmvnorm: Computes the distribution

Dear All, For function: rmvnorm{mvtnorm} in (library mvtnorm, not splus2R), if I generate 2 bivariate normal samples as follows: > rmvnorm(2,mean=rep(0,2),sigma=diag(2)) [,1] [,2] [1,] 2.0749459 1.4932752 [2,] -0.9886333 0.3832266 Where is the first sample, it is stored in the first row or the first column? Does this function store samples row-wise or column-wise? Thank

Thanks a lot for your help! Obviously I've tried to load it before by using the install.packages function but it didn't work. This is what I got > install.packages("mvtnorm") trying URL `http://cran.r-project.org/bin/windows/contrib/1.7/PACKAGES' Content type `text/plain; charset=iso-8859-1' length 12485 bytes opened URL downloaded 12Kb Warning message: No package

Hi Eric, Thanks for having a look into this. I think you have a small typo... B <- matrix(x, nrow=3, byrow = TRUE) should read B <- matrix(y, nrow=3, byrow = TRUE) Regards, Hollie ________________________________ From: R-help <r-help-bounces at r-project.org> on behalf of Eric Berger <ericjberger at gmail.com> Sent: 02 October 2017 16:16:13 To: Bert Gunter Cc: r-help at

Hi all! My apologies for posting such a naive question. I've been trying to run multiple comparison contrasts on several GLM models. For doing so I've tried to use the mulcomp CRAN package. However, before I can make the package to work I have to load the mvtnorm package which I cannot find in CRAN (or anywhere else). Any inputs? Thanks a lot, /J Jose A. Andres. Post-doc Associate.

Dear all, I would like to ask information about the package mvtnorm in R. It is very useful for me the "qmvnorm" comand, but I see that it can compute only quantile for equicoordinate. Is it possible to have a curve (or a set of values) if we don't want equicoordinates? Thank you Best regards Antonio. -- Antonio Lucadamo, Dipartimento di Scienze Economiche e Metodi Quantitativi

Rather specialized. As this appears to be primarily a statistical, not an R programming question, you may do better posting on a statistical site like http://stats.stackexchange.com/ if you don't get a satisfactory reply here . Alternativey, if you think this is a package bug, perhaps contact the package maintainer directly, as (s)he may not monitor this list. -- Bert Bert Gunter

Hi all, I know pnorm() is able to calculate a sequence of probabilities by providing a vector of means, and a single number for location and standard deviation. For example, pnorm(0.5,c(0.5,2),1) will produce [1] 0.5000000 0.0668072. However, I wonder if its multivariate counterpart mvtnorm can do the same thing? Namely, if I provide a sequence of (vector-)means and a single vector for

Hi R-users, I just started learning R. I have a project on lot quality assurance sampling (LQAS). In this project I have to develop LQAS plans to make decision on stopping / continuing a programme. The LQAS plans is based on cluster sampling: selection of k clusters (villages) of m children each for a total sample of n. In this connection I would like to estimate the classification errors ( alpha

Hi R-users, I just started learning R. I have a project on lot quality assurance sampling (LQAS). In this project I have to develop LQAS plans to make decision on stopping / continuing a programme. The LQAS plans is based on cluster sampling: selection of k clusters (villages) of m children each for a total sample of n. In this connection I would like to estimate the classification errors ( alpha

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.

Currently doing some work on local maxima on a random field and have encountered an issue with the Miwa algorithm used with the pmvnorm function in the mvtnorm R package. Based on recommendations by Mi et al., we ran the mvtnorm package using the Miwa algorithm, since we have a maximum of 4 dimensions with non-singular matrices. However, running the estimation procedure in this way, we obtained

Good point. Now this returns 0.04062184. Hmmm..... On Mon, Oct 2, 2017 at 6:30 PM, Hollie Johnson (PGR) < h.a.johnson at newcastle.ac.uk> wrote: > Hi Eric, > > > Thanks for having a look into this. I think you have a small typo... > > B <- matrix(x, nrow=3, byrow = TRUE) should read B <- matrix(y, nrow=3, > byrow = TRUE) > > > Regards, Hollie >

I'm trying to obtain numerical derivative of a probability computed with mvtnorm with respect to its parameters using grad() and jacobian() from NumDeriv. To simplify the matter, here is an example: PP1 <- function(p){ thetac <- p thetae <- 0.323340333 thetab <- -0.280970036 thetao <- 0.770768082 ssigma <- diag(4) ssigma[1,2] <- 0.229502120