similar to: density estimation for d>2 for the DPpackage

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

With ?if?(!j--)?{ ?????R_CheckUserInterrupt(); ?????j?=?10000; ?} as?in?current?R?devel?(r83976),?j goes negative (-1) and interrupt is checked every 10001 instead of 10000. I?prefer ?if?(!--j)?{ ?????R_CheckUserInterrupt(); ?????j?=?10000; ?} . In?current?R?devel?(r83976),?if?EOF?is?reached,?the?outer?loop?keeps?going,?i?keeps?incrementing?until?nskip.

On Fri, 10 Feb 2023 23:38:55 -0600 Spencer Graves <spencer.graves at prodsyse.com> wrote: > I have a 4.54 GB file that I'm trying to read in chunks using > "scan(..., skip=__)". It works as expected for small values of > "skip" but goes into an infinite loop for "skip=1e11" and similar > large values of skip: I cannot even interrupt it; I

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 pleased to announce the release of version 1.0.0 of DPpackage on CRAN. DPpackage covers some important models using Dirichlet process priors. The package includes: Semiparametric Bernoulli regression Semiparametric Density estimation Semiparametric Linear mixed models Semiparametric Generalized linear mixed models Semiparametric AFT model for interval-censored data I

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

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?

Hello, I realize that using: x[x > 3 & x < 5] I can fetch all elements between 3 and 5. However I read in from a CSV file, and I would like to fetch all columns from within a range ( 842-2411). In teh past, I have done this to fetch just select few columns: data <- read.csv(filein, header=TRUE, nrows=320, skip=nskip) data_filter <- data[c(2,12,17)]

Hello, All: I have a 4.54 GB file that I'm trying to read in chunks using "scan(..., skip=__)". It works as expected for small values of "skip" but goes into an infinite loop for "skip=1e11" and similar large values of skip: I cannot even interrupt it; I must kill R. Below please find sessionInfo() with a toy example. My real problem is a large

Added a new function, "ask_yes_or_no", to ovirt-functions. It contains a default prompt if none is provided. Changed all prompts that ask for yes, no and/or abort to use this new method. Signed-off-by: Darryl L. Pierce <dpierce at redhat.com> --- scripts/ovirt-config-boot-wrapper | 8 ++--- scripts/ovirt-config-collectd | 39 +++++++++++++++-----------

Dear R developers, i have already send the question below to r-help but got no responses. Perhaps it is more suitable for r-devel due to its rather technical level. It would really help me to find a solution (or to find out that there is none). Is there any way to access/print/save the content of an environment in which an error occoured? Imagine the following testcase: test =

Dear All, What is the preferred way to get Bayesian analysis results (such as those from MCMCpacki, MCMCglmm, and DPpackage) into LaTeX table automatically? I have been using the "apsrtable" package and similar functions in "memisc" package, but neither seems to handle MCMC output directly. Many thanks. Shige

Hi, I'm trying to setup some complicated binning with statistics and could use a little help. I've found the bin2 function from the ash package, but it doesn't do everything I need. My intention is to copy some of their code and then modify as needed. I have a vector of two columns: head(data) r1 r2 [1,] 0.03516559 0.03102128 [2,] 0.02162539 0.14847034

Hi, [note: 4th posting trial - apologize if the other ones would ever show up...] I have a (3-level) ordinal response data set which needs the integration of an spatial autocorrelation structure. What packages / functions are available to fit such a thing ? The heterogeneous, cluster-alike structuring of the autocorrelation seems to make a mixed effects model with random factors capturing

Hi, My computer has 2GB of ram and I also request 2GB of virtual ram from c drive, therefore totally I have 4GB of ram. Before I open R workshop, I also add "C:\Program Files\R\R-2.5.0\bin\Rgui.exe" --max-mem-size=3000Mb--max-vsize=3000Mb" into the target of R by right clicking the R icon-properties. I am running a program (DPglmm), which is built in DPpackage. The program is

Hi, I'm new to R and am hoping someone might be able to help with the following lme problem. I am trying to fit an ellipse equation to some spatial human factors data, varying the major and minor axes randomly and specifying an exp~ variogram for errors. Using normally-distributed random effects produces some -ve minor/major axes. I am hoping to be able to specify a gamma distribution to

Hi all, I would like to start to use R's MCMC abilities to compute answers in Bayesian statistics. I don't have any specific problems in mind yet, but I would like to be able to compute/sample posterior probabilities for low-dimensional custom models, as well as handle "standard" Bayesian cases like linear regression and hierarchical models. R clearly has a lot of abilities in

Dear all, I'm attempting to use a piecewise regression to model the trajectory of reproductive traits with age in a longitudinal data set using a mixed model framework. The aim is to find three slopes and two points- the slope from low performance in early age to a point of high performance in middle age, the slope (may be 0) of the plateau from the start of high performance to the