similar to: RE: mvtnorm package installation failure

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 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

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

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 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'

Summary: + I am writing an R extension that needs to call dmvnorm more than 10,000 times during a model fitting computation. + My extension uses openmp for parallel execution. + As of R 3.0, it is no longer permitted for threads to call the R interpreter because there is a stack overflow check that always trips because the thread's stack is different from what R is expecting. +

Hi All, I have k identical parallel pieces of code running, each using n.rand random numbers.? I would like to use the same RNG (for now), and set the seeds so that I can guarantee that there are no overlaps in the random numbers sampled by the k pieces of code.? Another side goal is to have reproducibility of my results.? In?the past I have used C with SPRNG for this task, but I'm hoping

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

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

Sorry to be pedantic but you are a little careless about version numbers .... > It was actually Debian "testing" that has R 1.4.0. Debian "stable" has R 0.9 or something really old > like that. 1.4.1 last I checked, and that is in the Debian mirrors (where testing is frozen, hence the older version). On CRAN it should be 1.5.1, built on my testing system. >

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.

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

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.

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

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

Dear R-help list members, I have created a package 'mnormt' with facilities for the multivariate normal and t distributions. The core part is simply an interface to Fortran routines by Alan Genz for computing the integral of two densities over rectangular regions, using an adaptive integration method. Other R functions compute densities and generate random numbers. The starting

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

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 >

Hi everyone, I've downloaded the lmtest package, but I'm having trouble building it. Here's the output: copland:/home/wilson/tmp# R CMD INSTALL -l /usr/lib/R/library lmtest_0.9-0.tar.gz * Installing *source* package 'lmtest' ... ** libs g77 -fPIC -g -O2 -c pan.f -o pan.o gcc -shared -o lmtest.so pan.o -L/usr/lib/gcc-lib/i386-linux/2.95.4 -lreadline -ldl -lncurses