search for: dmst

...tick to the sn package. On subsamples of the entire population that I deal with, everything is fine. However, on the total sample (difference in cross-sectional dimension: 30 vs 240) things go wrong - the objective function diverges to infinity. I located the "rotten" line to be t1 <- dmst(vector, mu, P, alpha, nu) where "vector" is the matrix row, on which I evaluate my likelihood and the rest in parametrized in a standard way, just as the help pages give it. In large dimensions, I get a zero value of the density (which is probably due to numerical issues). I tried the fo...

...on(v) { df<-v[1] for(i in 1:length(P_dax)) { f <- function(z) { pmst(z, xi[1],Omega[1,1],alpha[1],df)-P_dax[i] } u1[i]<-uniroot(f,ber1,tol=0.000001)$root f <- function(z) { pmst(z, xi[2],Omega[2,2],alpha[2],df)-P_nik[i] } u2[i]<-uniroot(f,ber2,tol=0.000001)$root z?hler<-dmst(c(u1[i],u2[i]),xi,Omega,alpha,df)[1] nenner<-dmst(u1[i], xi[1] ,Omega,alpha[1],df) * dmst(u2[i], xi[2],Omega,alpha[2],df) z[i]<-z?hler/nenner } lnc<-log(z) erg<-(-1)*sum(lnc) return(erg) } v<-c(10) optim(v,c_density, method="SANN", control=list(maxit=20))...

Hi, Is there a function in R that I can use to fit the data with skew t distribution? Speaking in detail, I first used the kernel density estimation to fit my data, then I drew the skew t using my specified location, scale, shape, and df to make it close to the kernel density. Now I want to get the parameter estimations of the skew t which give me the closet density to the kernel density.

...at for c32 files > instead of such a long file name. Example of such a long file name? So we know which file name to surpress into 8.3. ( yes, CP/M file name convention legacy is still present ) > If possible, also use short names for source files too. TIA. Euh, please visit http://www.dmst.aueb.gr/dds/pubs/conf/2015-MSR-Unix-History/html/Spi15c.html scroll down to '4 Data Uses', check the graphic, especial file name length. My point: _Why_ restrict the development system file name length? And now something completely different: > > _________________________________...

Hi, I am looking for an efficient way to compute the values of the density function of a multivariate T distribution - something like "dmvnorm", but for T distr. Does this exist somewhere? Many thanks, Jan Bulla Goettingen University

...name? >> >> So we know which file name to surpress into 8.3. >> ( yes, CP/M file name convention legacy is still present ) >> >> >> >>> If possible, also use short names for source files too. TIA. >> >> Euh, please visit http://www.dmst.aueb.gr/dds/pubs/conf/2015-MSR-Unix-History/html/Spi15c.html >> scroll down to '4 Data Uses', check the graphic, especial file name length. >> >> My point: _Why_ restrict the development system file name length? >> > > Hehe, OK, I'll bite :). >...

Dear All, I am using the pmst function from the sn package (version 0.4-0). After inserting the example from the help page, I get non-trivial answers, so everything is fine. However, when I try to extend it to higher dimension: xi <- alpha <- x <- rep(0,27) Omega <- diag(0,27) p1 <- pmst(x, xi, Omega, alpha, df = 5) I get the following result: >p1 [1] 0 attr(,"error")

Hello I'm currently working on a project to rolling out a new TFTP boot server, for a fairly large infrastructure (>200 servers, >1500 clients, with heterogeneous configurations/setups). We are using Syslinux version 6.03 for all the function within our TFTP server. We are using Ubuntu as our main TFTP server for most deployments and WDS for our

.... > > Example of such a long file name? > > So we know which file name to surpress into 8.3. > ( yes, CP/M file name convention legacy is still present ) > > > > > If possible, also use short names for source files too. TIA. > > Euh, please visit http://www.dmst.aueb.gr/dds/pubs/conf/2015-MSR-Unix-History/html/Spi15c.html > scroll down to '4 Data Uses', check the graphic, especial file name length. > > My point: _Why_ restrict the development system file name length? > Hehe, OK, I'll bite :). The length of file names under som...