search for: dirichlet

Code to reproduce > kernel("dirichlet") Error in kernel("dirichlet") : argument "r" is missing, with no default The help says r??? the kernel order for a Fejer kernel. Thanks to update the help. Best, Samuel

I'm just getting started with R, having a lot of original work on modeling and exploring the simulation by MCMC. I want to simulate the prior and the posterior distribution of Dirichlet Process by MCMC. Is there anyone in NYC that might be a good tutor for me? -- Dr. P. NGOM, Facult? des Sciences et Techniques D?partement de Math?matiques et Informatique Universit? Cheikh Anta Diop Dakar - S?n?gal ---------------------------------------------------------------- Universite Cheik...

Dear list members, I want to draw surfaces of Dirichlet distributions with different parameter settings. My code is the following: #<begin code> a1 <- a2 <- a3 <- 2 #a2 <- .5 #a3 <- .5 x1 <- x2 <- seq(0.01, .99, by=.01) f <- function(x1, x2){ term1 <- gamma(a1+a2+a3)/(gamma(a1)*gamma(a2)*gamma(a3)) term2...

Dear Gregory R. Warnes, I'm a phd student in statistics, at the University of Milano Bicocca. I'm interested to the methods of estimate the parameters of the Dirichlet distribution. Do you have implemented an algorithm in R? If so, can you give me the script? or, in general, some helps? Best Regards Gianna --------------------------------------------------------------- Gianna Monti Dottorato di Ricerca in Statistica Università degli Studi di Milano Bicocca Vi...

As I have previously asked, in response to a similar question: Is this a homework problem? cheers, Rolf Turner rolf at math.unb.ca

...ents per category given the category response rates can be assumed to be independently distributed. They can be modeled by a multinomial distribution with parameters n=60 and category response rates pi1, . . . , piC for site i. The individual variation in category response rates can be modeled by a Dirichlet distribution. Just wondering if I am thinking through this correctly. If so, could someone share some thoughts on how this could be done in R? Really Appreciate any help. Thanks Anamika [[alternative HTML version deleted]]

There's Renka's STRIPACK, and TRIPACK, respectively, ACM TOMS Algorithms 772 and 751, and there's the R package "deldir" which does the Delaunay for a plane, but does anyone have or know of the tessellation in R for a sphere? Also, is there a standard indexing scheme for Delaunay facets, and perhaps of edges in such facets? I'd expect that to be a publication reference,

...tangle but the Jacobian is a rapidly-varying (and very lopsided) function and this is making adapt() slow. [ A \dfn{simplex} is an n-dimensional analogue of a triangle or tetrahedron. It is the convex hull of (n+1) points in an n-dimensional Euclidean space. My application is a variant of the Dirichlet distribution: With p~D(a), if length(p) = n+1 then the requirement that all(p>0) and sum(p)=1 mean that the support of the Dirichlet distribution is an n-simplex. ] -- Robin Hankin Uncertainty Analyst National Oceanography Centre, Southampton European Way, Southampton SO14 3ZH, UK tel 023-8...

Hola comunidad, Les consulto mi duda. Quisiera generar N números aleatorios tal que su suma esté predeterminada a un valor k. Sé que con la distribución Dirichlet, por ejemplo, se podrían obtener números aleatorios tal que su suma es la unidad. Por ejemplo MCMCpack::rdirichlet(1,rep(10,7)) genera 7 números tal que su suma es 1 (el parámetro rep(10,7) es cualquier cosa). Pero me pregunto si se podrá realizar algo parecido variando la suma (no necesariament...

Dear List: I have uploaded version 1.0-4 of DPpackage on CRAN. Since the first version (1.0-0), I have not communicated the improvements of the package. I'll use this email to summarize its current status. The name of the package is motivated by the Dirichlet process. However, DPpackage tries to be a general package for Bayesian nonparametric and semi-parametric data analysis. So far, the package includes models based on Dirichlet processes, Dirichlet process mixtures of normals, Polya trees, and Random Bernstein polynomials. A list of current...

Dear List: I have uploaded version 1.0-4 of DPpackage on CRAN. Since the first version (1.0-0), I have not communicated the improvements of the package. I'll use this email to summarize its current status. The name of the package is motivated by the Dirichlet process. However, DPpackage tries to be a general package for Bayesian nonparametric and semi-parametric data analysis. So far, the package includes models based on Dirichlet processes, Dirichlet process mixtures of normals, Polya trees, and Random Bernstein polynomials. A list of current...

Hi I want to du a sensitivity analysis using Latin Hypercubes. But my parameters have to fulfill two conditions: 1) ranging from 0 to 1 2) have to sum up to 1 So far I am using the lhs package and am doing the following: library(lhs) ws <- improvedLHS(1000, 7) wsSums <- rowSums(ws) wss <- ws / wsSums but I think I can't do that, as after the normalization > min(wss) [1]

...ellations > > On Tue, 18 Jul 2006, Don MacQueen wrote: > > > I'll suggest going to the CRAN packages page and doing a search for "voronoi". > > The problem here is that `Voronoi tessellation' is a secondary name. The > concept has many names, including Dirichlet tessellation and Thiessen > polygons, and Dirichlet has priority over Voronoi. > > > Also, search for 'triangulation', since that is one of the uses of them. > > I know of packages deldir, tripack and perhaps geometry. > > > -Don > > > > At 11:46...

Hi Thanks for replying my question! What really interested me is that the package providing some complex form sampling, such as wishart, multinomial, dirichlet. And others for example conditional beta distribution confining the random variable in the interval (a, b). Since these concept are widely used in the baysian, I wonder whether somebody has already written this package. Thanks! Best wishes, Peng ******************************* Peng Zhang Departme...

Dear R-users, Is there an R function to compute the multinomial beta function? That is, the normalizing constant that arises in a Dirichlet distribution. For example, with three parameters the beta function is Beta(n1,n2,n2) = Gamma(n1)*Gamma(n2)*Gamma(n3)/Gamma(n1+n2+n3) Thanks in advance for any assisstance. Regards, Greg [[alternative HTML version deleted]]

Hi, How can I generate data from multivariate gamma distribution & multivariate beta distribution? I only found command for multivariate normal only. Many thanks in advance :) Regards Rofizah [[alternative HTML version deleted]]

...)) term2 <- x1^(a1-1)*x2^(a2-1)*(1-x1-x2)^(a3-1) term3 <- (x1 + x2 < 1) term1 * term2 * term3 } f <- outer(x1, x2, dirf) f[f<=0] <- NA f[is.infinite(f)] <- NA persp(x1, x2, f, zlim = c(0, max(f, na.rm = TRUE)+1), main = bquote(paste("Dirichlet eloszlás, ", alpha ,"=(",.(a1),",",.(a2),",",.(a3),")")), col = "lightblue", theta = 50, phi = 20, r = 50, d = 0.1, expand = 0.5, ltheta = 90, lphi = 180, shade = 0.75,...

Dear R-users, Does anyone know how to do weighted Voronoi diagrams (Dirichlet tesselation) in R? To be more specific, I have a set of coordinates for tree locations on a plot, and I'm looking for a way to do the tesselation so that the polygon size for each tree depends on the size of the subject tree, and the size of its neighbors. So, the location of the bisection...

...form the data into matrix ## parameter setting N=nrow(X) # # of servers T=ncol(X) # Time m=sum(X)/(N*T) # mean of the training set M=matrix(m,nrow=N,ncol=T) s=sum((X-M)^2)/(N*T) # std of the training set K=3 # # of clusters alpha=0.5 # parameter for Dirichlet distn sigmae=0.5 # var of cluster mean mu q1=rep(1/K,K) # prior for Z(n,1) ## MCMC sampling data=list("X","m","s","N","T","K","alpha","sigmae","q1") inits=function(){list(a0=rbeta(1,1,1), q...

Hello, I have just started using R, and have found it quite easy to make plots of probability densities for normal and beta distributions, etc. Now, I'm looking at trying to make a simplex plot of a Dirichlet density, but have gotten stuck and was hoping that someone could help. Ideally, the plot would look something like the 3d plots on Wikipedia here: http://en.wikipedia.org/wiki/File:Dirichlet_distributions.png Although if these are impossible, a color-coded 2d simplex would work as well. Does anyo...