similar to: frontier 0.99 is NOT backward compatible

Hello, Could anybody offer any advice about implementing a Kohonen self organizing map for categorical data? Specifically I am wondering if there are any pre-existent packages that can deal with categorical data and/or how one would compare the input vector of categoricals with the self organizing map nodes. Thanks in advance. George Chen ----- Original Message ----- From: r-help-request at

Hi, I am trying to find out the scale efficiency and optimal scale of banks by stochastic frontier analysis given the panel data of bank. I am free to choose any model of stochastic frontier analysis. The only approach I know to work with R is to estimate a translog production function by sfa or other related function in frontier package, and then use the Ray 1998 formula to find the scale

Dear all, I have uploaded a new package called micEcon (version 0.1-3) to CRAN (an early version of this package has been already presented at useR! 2004). It contains tools for microeconomic analysis and microeconomic modeling. These are for instance: - tools for demand analysis with the 'Almost Ideal Demand System' (AIDS): e.g. econometric estimation, calculation of price and

Dear all, I have uploaded a new package called micEcon (version 0.1-3) to CRAN (an early version of this package has been already presented at useR! 2004). It contains tools for microeconomic analysis and microeconomic modeling. These are for instance: - tools for demand analysis with the 'Almost Ideal Demand System' (AIDS): e.g. econometric estimation, calculation of price and

Hi! A few weeks ago, I have uploaded a new R package "frontier" for Stochastic Frontier Analysis (SFA) [1] to CRAN [2]. It includes the FORTRAN code of Tim Coelli's [3] software "Frontier 4.1" [4]. Hence, the R package "frontier" should have the same capabilities as "Frontier 4.1", i.e. Maximum Likelihood Estimation of Stochastic Frontier Production

Hi! A few weeks ago, I have uploaded a new R package "frontier" for Stochastic Frontier Analysis (SFA) [1] to CRAN [2]. It includes the FORTRAN code of Tim Coelli's [3] software "Frontier 4.1" [4]. Hence, the R package "frontier" should have the same capabilities as "Frontier 4.1", i.e. Maximum Likelihood Estimation of Stochastic Frontier Production

Dear all I am happy to announce that version 1.0 of the "frontier" package is available on CRAN. The R package "frontier" provides tools for analysing efficiency and productivity using the "stochastic frontier" approach. This R package is based on Tim Coelli's DOS software "FRONTIER 4.1" and has been available on CRAN for almost 5 years now. After many

Hi, I found that LLVM 3.1 says Dominance frontier is deprecated. Can anyone please tell me, if there is any replacement for Dominance frontier & Postdominance frontier in LLVM? What are the options if we need to use them? Thanks, Swarup. -------------- next part -------------- An HTML attachment was scrubbed... URL:

Dear R users, I would like to inform you that everything of the "micEcon" package that is related to Stochastic Frontier Analysis (SFA) has been moved to the "frontier" package, because this is a more appropriate place for the functions "front41WriteInput", "front41ReadOutput", and "front41Est", and the corresponding (S3) methods. The data

Dear R users, I would like to inform you that everything of the "micEcon" package that is related to Stochastic Frontier Analysis (SFA) has been moved to the "frontier" package, because this is a more appropriate place for the functions "front41WriteInput", "front41ReadOutput", and "front41Est", and the corresponding (S3) methods. The data

I need to estimate maximum tree crown radius and am looking for a package to prepare stochastic frontier models in R. I have not found any package references on Nabble R help, google, or R help. Any tips on a package for this? With regards, Aaron Trowbridge Researcher BV Research Centre Smithers B.C. -- View this message in context:

I just finished upgrading our LLVM to 2.4 and I immediately ran into a problem with dominance frontier calculation: llvm/lib/VMCore/PassManager.cpp:714: void llvm::PMDataManager::verifyDomInfo(llvm::Pass&, llvm::Function&): Assertion `0 && "Invalid dominator info"' failed. Strangely enough, the Pass running when the assert triggers is Dominance Frontier

On Feb 18, 2009, at 8:00 AM, David Greene wrote: > I just finished upgrading our LLVM to 2.4 and I immediately ran into > a problem > with dominance frontier calculation: > > llvm/lib/VMCore/PassManager.cpp:714: void > llvm::PMDataManager::verifyDomInfo(llvm::Pass&, llvm::Function&): > Assertion > `0 && "Invalid dominator info"' failed.

On Wednesday 18 February 2009 10:35, Devang Patel wrote: > On Feb 18, 2009, at 8:00 AM, David Greene wrote: > > I just finished upgrading our LLVM to 2.4 and I immediately ran into > > a problem > > with dominance frontier calculation: > > > > llvm/lib/VMCore/PassManager.cpp:714: void > > llvm::PMDataManager::verifyDomInfo(llvm::Pass&,

I'm trying to find 50 portfolios on the efficient frontier using the Black-Litterman model but have not found a suitable method for doing so. I tried using the "portfoliosFrontier" function given in the package fPortfolio using the "optimalPortfolios.fPort" function on package "BLCOP" but does not provide satisfactory results -- View this message in context:

On Thu, 9 Nov 2006, Ryan M. Lefever wrote: Sorry I never responded to this: > In the literature (see below for a reference), when a dominance frontier > is computed, it is computed from a CFG that contains a dummy entry node > and dummy exit node. Further, those dummy nodes are potential members > of the (post-)dominance frontier for a given basic block. In LLVM, I > could not

In the literature (see below for a reference), when a dominance frontier is computed, it is computed from a CFG that contains a dummy entry node and dummy exit node. Further, those dummy nodes are potential members of the (post-)dominance frontier for a given basic block. In LLVM, I could not figure out a way to determine if the dummy entry node is a member of the post-dominance frontier of

Hello all This is my first posting for some years. I am back using R again and must say I do like the language (regarding scripting, I also use matlab, perl, and bash). My question involves plotting a Pareto frontier in three dimensions. This is strictly a exercise in visualization, I make no attempt to extract the Pareto set (aka dominating subset) first. EXAMPLE PLOTS For some example

A while ago I reported a bug in the computation of the post-dominance frontier (PDF). I submitted it as http://llvm.org/bugs/show_bug.cgi?id=1069, and it is now marked as a duplicate of http://llvm.org/bugs/show_bug.cgi?id=1098, which is still an open bug. I needed the PDF to compute control dependencies for code on which I'm working. I was not familiar with the algorithm used in LLVM

Dear all, I want to program my own models about Stochastic Frontier Analysis and Linear programming (Data Envelopment Analysis). In this context, is there anyone that may help me with some simple tutorials and scripts about these issues? Thanks a lot. -- Marcus Vinicius Pereira de Souza, Prof. [[alternative HTML version deleted]]