similar to: laplace transform

Hi there, Is there an implementation of the Gaveh Stehfest algorithm in R somewhere ? Or some other inversion ? Thanks, Tolga

Dear R users I encounter a problem when i perform a generalized linear mixed model (binary data) with the lmer function (package lme4) with R 2.1.0 on windows XP and the latest version of package "lme4" (0.96-1) and "matrix" (0.96-2) both options "PQL" and "Laplace" for the method argument in lmer function gave me the same results (random and fixed effects

Hi, I have to draw samples from an asymmetric-Laplace-Normal distribution: f(u|y, x, beta, phi, sigma, tau) \propto exp( - sum( ( abs(lo) + (2*tau-1)*lo )/(2*sigma) ) - 0.5/phi*u^2), where lo = (y - x*beta) and y=(y_1, ..., y_n), x=(x_1, ..., x_n) -- sorry for this huge formula -- A WinBUGS Gibbs sampler and the HI package arms sampler were used with the same initial data for all parameters. I

Hello, <http://tolstoy.newcastle.edu.au/R/help/04/07/0312.html#0313qlink1> Could anybody tell me how to generate discrete Laplacian distribution? I need to sample uma discretised Laplacian density like this: J( g -> g´) ~ exp (-lambda | g´ - g |) g in {0,…, gmax} Thanks, Nicolette [[alternative HTML version deleted]]

Good Afternoon R Help! On of my users is seriously thinking about moving to R from Splus. In his testing, he has already found some benefits to it. He has, however run into one issue, calling his Fortran functions in R. Previously, in Splus, he would do the following: 1. Compile via f90 the *.f program 2. link the object file to the Fortran IMSL libraries via the 'ld' command 3.

Dear list members, I have created seven objects, from a to g, so that ls() gives me [1] "a" "b" "c" "d" "e" "f" "g" how can I automatically change their names in "a1" "b1" "c1" "d1" "e1" "f1" "g1" It seems simple, ut it is driving me mad. Thank you very

Hello! My question is stated in the Subject: Is it possible to model with Laplace's error distribution? For example, lmer() function have few families of functions, like binomial etc., but not Laplace. Is there any other package that would allow for Laplace? Or is there a way to give "user-defined" family? Sincerely, P. Milin

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It would be great to know if and where an R code for Common Principal Component Analysis is available. Thanks, Daniel Daniel Berner Redpath Museum & Dept. of Biology McGill University 859 Sherbrooke St. W. Montreal, QC, H3A 2K6 Canada Phone: 514-398-4086 ext. 00908 Fax: 514-398-3185 Email: daniel.berner at mail.mcgill.ca

Does anyone have any R code that shows how to do a Laplace Approximation? I know there are a variety of these numerical approximation algorithms and I'm pretty open at this point, I'm just curious how it's approximated in R code. I have seen some functions in packages, but I think they all call C code, and am looking for an example in R only. Thanks. -- View this message in

Can anyone show how to calculate a multivariate Laplace density? Thanks. -- View this message in context: http://r.789695.n4.nabble.com/Multivariate-Laplace-density-tp3864072p3864072.html Sent from the R help mailing list archive at Nabble.com.

Is there some package out there that implements functions for reliability analysis, especially for software reliability? In particular, I'm looking for: * Laplace factor (Cox & Lewis 1978) * Goel-Okumoto fitting Thanks in advance, -Ekr -- [Eric Rescorla ekr at rtfm.com]

I would like to see R packages arranged by topic. CRAN Task Views are at http://lib.stat.cmu.edu/R/CRAN/src/contrib/Views/ , but I'd like something more detailed. For example, the IMSL Fortran library, version 4 is easy to navigate and has procedures arranged according to following topics: Basic Statistics Regression Correlation Analysis of Variance Categorical and Discrete

I've created an SVM in R using the kernlab package, however it's running incredibly slow (20,000 predictions takes ~45 seconds on win64 R distribution). CPU is running at 25% and RAM utilization is a mere 17% ... it's not a hardware bottleneck. Similar calculations using data mining algorithms in SQL Server analysis services run about 40x faster. Through trial and error, we

I am new to using R and would appreciate some advice on which books to start with to get up to speed on using R. My Background: 1-C# programmer. 2-Programmed directly using IMSL (Now Visual Numerics). 3- Used in past SPSS and Statistica. I put together a list but would like to pick the "best of" and avoid redundancy. Any suggestions on these books would be helpful (i.e. too much

Greetings, Does anyone know if R-Quant, http://www.smartquant.com/ an outgrowth of the statistical package "R"? Bill Vedder -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the

> On Mar 24, 2015, at 12:08 PM, Xinliang David Li <davidxl at google.com> wrote: > > On Tue, Mar 24, 2015 at 10:54 AM, Bob Wilson <bob.wilson at apple.com> wrote: >> >>> On Mar 24, 2015, at 10:53 AM, Diego Novillo <dnovillo at google.com> wrote: >>> >>> On Tue, Mar 24, 2015 at 1:48 PM, Bob Wilson <bob.wilson at apple.com> wrote:

Hi useRs, I have a set of fortran code that was passed down from previous students, and I am converting its algorithm into R codes. I encounter this function in Fortran (D)QDAWO, which numerically integrates a function f with a user-specified cosine or sine weight. It is used because the original function that I want to integrate is f(x)*cos(x). I tried in R to directly integrate by

> On Mar 24, 2015, at 3:22 PM, Xinliang David Li <davidxl at google.com> wrote: > > On Tue, Mar 24, 2015 at 2:47 PM, Bob Wilson <bob.wilson at apple.com <mailto:bob.wilson at apple.com>> wrote: >> >>> On Mar 24, 2015, at 12:08 PM, Xinliang David Li <davidxl at google.com> wrote: >>> >>> On Tue, Mar 24, 2015 at 10:54 AM, Bob

Can you tell us if you're continuing to use the same approach as described in one of the LLVM meetings, i.e. instrument at the clang AST level? Also, do you generate GCOV files, some yaml, or is this a separate format? And finally in the meeting you had given how you assign counters to the blocks, an algorithm to minimize the number of insertions. Is that algorithm a well-known one or a