similar to: Non-GPL packages for R

Hi, I would also be in favor of a stronger stance on licenses. In industry, where we can really get in big trouble for violating a license, we often maintain internal repositories, or need to be careful about filtering what is used from CRAN. I think that is should really be a requirement the package authors commit to stating what the restrictions are on their packages. Nicholas On 10

I'm planning to try to use Mike Powell's new BOBYQA optimization routine to see if it is a good candidate to eventually replace Nelder-Mead as the optim() default. (Don't panic -- this won't happen quickly.) Mike writes f77 code. After some chasing about, I've realized that because optimization codes need to call the objective function written in R, they need to use a language

Hello: The development version of Ecdat on R-Forge contains a vignette in which optim(?, method=?L-BFGS-B?) stops with an error message while violating the lower bound. To see all the details, try the following: install.packages("Ecdat", repos="http://R-Forge.R-project.org") Then do "help(pac=Ecdat)" -> "User guides, package

Hi Guys, Recently I wrote a package for dealing with Markov Switching Regressions in R and it is included in the Rmetrics project. https://r-forge.r-project.org/projects/rmetrics/ Everything works fine when I use it in computer. But, the package depends on the use of optimization functions from the package Rdonlp2, which is not available on CRAN. So, if I have Rdonlp2 in my laptop (or any

Hi i´m starting to work with free software (with free as in freedom) i've been working with GAMS (General Algebraic Modeling System) to solve static and dynamic optimization problems and non-linear large systems of equations i'm wondering if there is any free software and documentation on the subject, wether in R, Maxima, or something else i will appreciate any help and any references

I am running a multilevel growth curve model to examine predictors of social anhedonia (SA) trajectory through ages 12, 15 and 18. SA is a continuous numeric variable. The age variable (Index1) has been coded as 0 for age 12, 1 for age 15 and 2 for age 18. I am currently using a time varying predictor, stress (LSI), which was measured at ages 12, 15 and 18, to examine whether trajectory/variation

I am running a multilevel growth curve model to examine predictors of social anhedonia (SA) trajectory through ages 12, 15 and 18. SA is a continuous numeric variable. The age variable (Index1) has been coded as 0 for age 12, 1 for age 15 and 2 for age 18. I am currently using a time varying predictor, stress (LSI), which was measured at ages 12, 15 and 18, to examine whether trajectory/variation

Previous versions have this question have partially bounced. I apologize if parts of this are showing up multiple times on the list. Another try ... There was at one time an R package called Rdonlp2 for solving constrained nonlinear programming problems. Both the objective function and the constraints could be nonlinear in the decision variables. The package is no longer in the CRAN list.

Dear experts, I'm attempting to solve a constrained optimization problem using the Rdonlp2 package. I created a Lagrange function (L=f(x)-lambda(g(x)-c)), where x is a vector of 16 parameters. This is what I'm using as objective function in the code below. In addition, I set bounds on these parameters (par.u and par.l). When I run the code, I get the error message shown below. Any idea

Breaking News - Powell resigns as FCC Chair Federal Communications Commission (FCC) Chairman Michael Powell announced his resignation today (January 21, 2005) and will step down in March. In a brief statement on the FCC's website (www.fcc.gov) Powell said, "Having completed a bold and aggressive agenda, it is time for me to pursue other opportunities and let someone else take the reins

All, I have searched the previous help boards and discovered the problem with Rdonlp2 - Specifically, its non-availability. I thought that this was my solution, but perhaps there is a better way that you all could help me with. I imagine that this problem is trivial to people such as the experts on this mailing list. I am trying to solve this problem over and over again in a simulation:

Hi I need advice regarding constraint optimization with large number of variables. I need to solve the following problem max f(x1,...,xn) x1,..xn x1=g1(x1,...,xn) . . xn=gn(x1,...,xn) I am using Rdonlp2 package which works well until 40 variables in my case. I need to solve this problem with over 300 variables. In this case Rdonlp2 is very very slowly. I know

Folks, Has anyone implemented Powell's Method for minimisation in R ? Many thanks, Tolga

I can't load Rdonlp2 package. Please support me. Thanks ------------------------------------ Thien An Ho Chi Minh city - VIET NAM [[alternative HTML version deleted]]

I have used Mike Powell's optimization routine (VA05AD) from the Harwell Subroutine Library (HSL) for more than 20 years. It is no exaggeration to say that it has helped make my career (thanks Mike). I recently learned that I am not alone in this respect - apparently it still has a loyal following in all sorts of fields! It is an exceedingly fine piece of software - fast, reliable and easy to

Dear Sir, I installed successfully using the install.packages("Rdonlp2", repos=" http://R-Forge.R-project.org"). I tried on the example which is defined on the Rdonlp help file ,p <- c(-10,10)par.l <- c(0,0); par.u <- c(100,100)lin.u <- 1; lin.l <- 1A <- t(c(1,1))fn <- function(x){ x[1]^2+x[2]^2}ret <- donlp2(p, fn, par.lower=par.l, par.upper=par.u, A=A,

Hi, Currently I am trying to solve a minimization problem using optim as method Nelder-Mead. However, Neldel-Mead needs many iterations until it finally converges. I have set $control.trace and $control.report such that I can see the value of the function at each iteration. I do see that I set the convergence criteria to strict in the sense that the function value does not change much. However,

Hi, Mark et al.: Thanks, Mark. Three comments: 1. Rvmmin was one of the methods I tried after Ravi directed me to optimx. It returned NAs for essentially everything. See my email of this subject stamped 4:43 PM Central time = 21:43 UTC. 2. It would be interesting to know if the current algorithm behind optim and optimx with

Dear All, I couple of weeks ago, I’ve asked for a package recommendation for nonlinear optimization. In my problem I have a fairly complicated non-linear objective function subject to one non-linear equality constrain. I’ve been suggested to use the *Rdonlp2* package, but I did not get any results after running the program for 5 hrs. Is it normal to run this type of programs for hours? Also,

# Hi all, # consider the following code (please, run it: # it's fully working and requires just few minutes # to finish): require(CreditMetrics) require(clusterGeneration) install.packages("Rdonlp2", repos= c("http://R-Forge.R-project.org", getOption("repos"))) install.packages("Rsolnp2", repos= c("http://R-Forge.R-project.org",