similar to: DEoptim 2.0-0

Dear R useRs, I have a problem with nls.lm function of minpackl.lm package. I need to fit the Van Genuchten Model to a set of data of Theta and hydraulic conductivity with nls.lm function of minpack.lm package. For the first fit, the parameter estimates keep changing even after 1000 iterations (Th) and I have a following error message for fit of hydraulic conductivity (k); Reason for

We are happy to announce that the R user conference useR! 2010 is scheduled for July 21-23, 2010, and will take place at the campus of the National Institute of Standards and Technology (NIST) in Gaithersburg, Maryland, USA. As for the predecessor conferences, the program will consist of two parts: invited lectures and user-contributed sessions (abstract submission will be available online

We are happy to announce that the R user conference useR! 2010 is scheduled for July 21-23, 2010, and will take place at the campus of the National Institute of Standards and Technology (NIST) in Gaithersburg, Maryland, USA. As for the predecessor conferences, the program will consist of two parts: invited lectures and user-contributed sessions (abstract submission will be available online

I am trying to figure out how parameters are defined in a function that is used by DEOptim. That is, when I set upper and lower bounds for DEOptim how does it know which element of the function to apply those bounds to? For example, in DEOptim call below, when DEOptim goes into "optimfxn" how does it know what element of "optimfxn" to apply the upper and lower bounds to?

(the same mail was sent to the author) When I called the function DEoptim with control=list(strategy=1) or control=list(strategy=2) I got the error: Error in mui[rtd + 1, i] : incorrect number of dimensions Analysis of the source code of the DEoptim reveals the following fragment if (con$strategy > 5) st <- con$strategy - 5 ## binomial crossover else { st <-

Function DEoptim in package DEoptim for differential evolution defines an optional parameter fnMap: fnMap "an optional function that will be run after each population is created, but before the population is passed to the objective function. This allows the user to impose integer/cardinality constriants." Unfortunately, there is no further documentation decribing the kind of

Dear All, A short-term (approx. 6-month) postdoctoral or scientific programmer position is available in a computational sciences project in Amsterdam. The title is dependent on experience. The starting date should be before the end of 2008, and applicants must be a citizen of a member state of the European Union. The ideal applicant would: o be an experienced R programmer o have experience in

Dear All, A new task view "ChemPhys" on chemometrics and computational physics is available on CRAN (http://cran.r-project.org/web/views/ChemPhys.html). It describes packages and functions that are of use in modeling chemical/physical systems. Suggestions and comments regarding this task view are welcome. If you think a new category, package or function should be added, please mail.

A new package 'nnls' is now available on CRAN. The package provides an R interface to the Lawson-Hanson NNLS algorithm for non-negative least squares that solves the least squares problem A x = b with the constraint x >= 0. The Lawson-Hanson NNLS algorithm was published in Lawson CL, Hanson RJ (1974). Solving Least Squares Problems. Prentice Hall, Englewood Cliffs, NJ. Lawson CL,

A new package 'nnls' is now available on CRAN. The package provides an R interface to the Lawson-Hanson NNLS algorithm for non-negative least squares that solves the least squares problem A x = b with the constraint x >= 0. The Lawson-Hanson NNLS algorithm was published in Lawson CL, Hanson RJ (1974). Solving Least Squares Problems. Prentice Hall, Englewood Cliffs, NJ. Lawson CL,

Special Volume on Spectroscopy and Chemometrics in R Guest Edited by Katharine M. Mullen and Ivo H.M. van Stokkum 11 contributions, with software packages and examples Similar volumes on R in Psychometrics (guest edited by Jan de Leeuw) and R in Political Methodology (guest edited by Micah Altman and Simon Jackman) are close to being finished. Additional volumes are being worked on. Proposals

Dear R-help members, This message is to remind you that the submission deadline for abstracts for the R User Conference, useR! 2010, is one week away: Submission deadline: Monday, March 1, 2010 The deadline for early registration is also Monday, March 1, 2010. I encourage you all to submit abstracts (to give a presentation, or to present a poster). More information regarding the

Dear R users, During the the running of DEoptim function which belongs to "DEoptim" package it automatically gives the output like the following: Iteration: 1 bestvalit: 181.379847 bestmemit: 0.226499 1.395852 Iteration: 2 bestvalit: 14.062649 bestmemit: 2.290357 5.597838 Iteration: 3 bestvalit: 14.062649 bestmemit: 2.290357 5.597838 Iteration: 4 bestvalit: 14.062649

A new package 'bvls' is available on CRAN. The package provides an R interface to the Stark-Parker algorithm for bounded-variable least squares (BVLS) that solves A x = b with the constraint l <= x <= u under least squares criteria, where l,x,u \in R^n, b \in R^m and A is an m \times n matrix. The Stark-Parker BVLS algorithm was published in Stark PB, Parker RL (1995).

A new package 'bvls' is available on CRAN. The package provides an R interface to the Stark-Parker algorithm for bounded-variable least squares (BVLS) that solves A x = b with the constraint l <= x <= u under least squares criteria, where l,x,u \in R^n, b \in R^m and A is an m \times n matrix. The Stark-Parker BVLS algorithm was published in Stark PB, Parker RL (1995).

We are happy to inform you that abstract submission and registration for `useR! 2010' is now available online from http://www.R-project.org/useR-2010/ This meeting of the R user community will take place at the Gaithersburg, Maryland, USA campus of the National Institute of Standards and Technology (NIST), July 21-23, 2010. The conference schedule is comprised of invited lectures and

We are happy to inform you that abstract submission and registration for `useR! 2010' is now available online from http://www.R-project.org/useR-2010/ This meeting of the R user community will take place at the Gaithersburg, Maryland, USA campus of the National Institute of Standards and Technology (NIST), July 21-23, 2010. The conference schedule is comprised of invited lectures and

We are pleased to announce that the R user conference useR! 2014 is scheduled for July 1-3, 2014, and will take place at the University of California, Los Angeles. As for the predecessor conferences, the program will consist of two parts: invited lectures and user-contributed sessions (abstract submission will be available in due course). Prior to the conference, there will be tutorials on

The final registration deadline for the R User Conference is June 20, 2010, one week away. Later registration will not be possible on site! Conference webpage: http://www.R-project.org/useR-2010 Conference program: http://www.R-project.org/useR-2010/program.html Registration: http://www.R-project.org/useR-2010/registration/registration.html The conference is scheduled for July 21-23, 2010,

Participants in the R User Conference, useR! 2010, July 21-23, (http://R-project.org/useR-2010) will each receive a t-shirt, thanks to the sponsorship of Mango Solutions (http://www.mango-solutions.com/). This email is a call for designs for the front of the t-shirt. The design should be made using a single color of your choice. The design should be in the form of a high-resolution (at least