similar to: New CRAN package "DPpackage"

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

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

Dear R users, Thanks in advance. I am Deb, Statistician at NSW Department of Commerce, Sydney. I am using R 2.8.1 on Windows XP. This has reference to the package “DPpackage”. The binary version is available on Mac OS, but I am using Windows XP. May I request you to assist me in the followings: How can I prepare Windows binary of DPpackage from source? 2. Is there any possibility

Dear List, I am trying to estimate a 3 dimensional density through the DPpackage. For example # model sigma <- matrix(c(0.1,0.05,0.05,0.05,0.1,0.05,0.05,0.05,0.1), ncol=3) rnormm<- rmvnorm(n=100, mean=c(5,100,150), sigma=sigma) sigma2 <- matrix(c(10,0.05,0.05,0.05,10,0.05,0.05,0.05,10), ncol=3) rnormm2<- rmvnorm(n=100, mean=c(20,1,110), sigma=sigma) rnormm<-rbind(rnormm,rnormm2)

Dear All, I've had trouble compiling DPpackage as a user in one system. It works fine as root in other machines. I can see any clues in error messages My guess is that it is a permissions matter. Any help is appreciated. OS: Linux Kernel: 2.6.27 SMP Arch: Intel 64 bits gfortran not available Thank you. ----------------------><8------------------------------------- g77 ? -fpic ?-g

Hi to everyone, I'm a PhD student and I'm involved in non parametric analyses of hierarchical models. I tried to use package DPpackage on my data, but I encountered some problems in interpreting ouputs. Can anybody help me? The problem can be remued as follows: I have a logit hierarchical model for survival (i.e. binary response) in patients affected by heart failure (the court

Hi all, in the function DPdensity( ) example -- ?DPdensity --, we can extract the density estimate by: # Extracting the density estimate cbind(fit1.1$x1,fit1.1$dens) cbind(fit1.2$x1,fit1.2$dens) How is density calculated? I can imagine it is a mixture of normal densities, but where is the information about the density stored? Can we extract that so that we can write out the density function?

Dear List, I'm just teaching myself semi-parametric techniques. Apologies in advance for the long post. I've got observational data and a longitudinal, semi-parametric model that I want to fit in GAM (or potentially something equivalent), and I'm not sure how to do it. I'm posting this to ask whether it is possible to do what I want to do using "canned" commands

What is the output of your logfile when you try to ping a public ip? Besides, you should change your internal ip addresses to private addresses (rfc 1918): 10.0.0.0 - 10.255.255.255 (10/8 prefix) 172.16.0.0 - 172.31.255.255 (172.16/12 prefix) 192.168.0.0 - 192.168.255.255 (192.168/16 prefix) best regards, Kenneth. -----Opprinnelig melding----- Fra: Marta

Dear useRs, French reading people among you might be interested by the following book: Noel, Y. (2013). Psychologie statistique avec R [Statistical psychology with R, in French], coll. PratiqueR, Paris: Springer. http://www.springer.com/psychology/book/978-2-8178-0424-8 This book provides a detailed presentation of all basics of statistical inference for psychologists, both in a fisherian

Hi Michael, I am wondering about the meaning of the cmake flags LLVM_ENABLE_LIBCXX and > LLVM_ENABLE_LIBCXXABI. Are they used to indicate that if the C/C++ compiler > for building LLVM is clang, and if this clang has support for libc++ with > libc++Abi, that both lib++ and libc++abi should be used (instead of linking > to the default, which at least on Linux is libstdc++)? Yes that

Dear List's Members, I'm trying to implement "1. Roger Klein and Francis Vella, ?A semiparametric model for binary response and continuous outcomes under index heteroscedasticity,? Journal of Applied Econometrics 24, no. 5 (2009): 735-762. " estimator. I have a technical doubt about the choice of the optimizer for the likelihood function maximization. That of pg. 743, the

Also please note that there is a description of each option in the CMakeLists.txt :) llvm/trunk/CMakeLists.txt option(LLVM_ENABLE_MODULES "Compile with C++ modules enabled." OFF) option(LLVM_ENABLE_CXX1Y "Compile with C++1y enabled." OFF) option(LLVM_ENABLE_LIBCXX "Use libc++ if available." OFF) option(LLVM_ENABLE_LIBCXXABI "Use libc++abi when using

bayesm version 2.2-0 is now available on CRAN. Major changes include: 1. general density estimation using a Dirichlet Process Prior and a normal base 2. linear instrumental variable models with unknown error distributions (the Bayesian analogue of IV methods). Achieved via DP priors. peter r ................................ Peter E. Rossi Joseph T. and Bernice S. Lewis Professor of

Can someone explain why I am getting the following error: in the r code below? Error in solve.default(diag(2) + ((1/currvar) * (XX1 %*% t(XX1)))) : system is computationally singular: reciprocal condition number = 0 In addition: There were 50 or more warnings (use warnings() to see the first 50) The R code is part of a bigger program. ##sample from full conditional

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 <- x1^(a1-1)*x2^(a2-1)*(1-x1-x2)^(a3-1)

>Date: Fri, 22 Feb 2002 09:48:16 -0600 (CST) >From: sun at cae.wisc.edu >Subject: [R] Does R have semiparametric package for time series > >Hello, All: I am new to R. I wonder if there is package for nonparametric or >semiparametric processing of time series. Thank you very much. > >Hongyu Sun Have a look at package "sm" and, in particular function

DeaR UseRs, I have the following code (see below). It is working as expected although I have two problems/questions: - how can I set the size of the graph? It may sound silly, but I couldnt figure that out - is it possible to export this small "interactive aplication" to html or a latex document, or maybe pdf? Thank you for your attentions. Best wishes: Daniel the code:

Hi, I am wondering about the meaning of the cmake flags LLVM_ENABLE_LIBCXX and LLVM_ENABLE_LIBCXXABI. Are they used to indicate that if the C/C++ compiler for building LLVM is clang, and if this clang has support for libc++ with libc++Abi, that both lib++ and libc++abi should be used (instead of linking to the default, which at least on Linux is libstdc++)? If not, what is the canonical way of

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