similar to: Does the R "statistical language includes modules/packages to carry out nonlinear optimization similar to the SAS NLIN and NLP procedures?

There is also the OptimizeR project on R-forge http://r-forge.r-project.org/R/?group_id=395. Other related projects are there also, but I'll let their authors speak for themselves. Stefan Theussl did a good job in the Task View, but it is from last June, and it would be a monumental effort to keep up to date with all the work going on. We're "almost" ready to put some of our

I am running a 3-parameter nonlinear fit using the default Gauss-Newton method of nls. initialValues.L = list(b=4,d=0.04,t=180); fit.nls.L = nls( myModel.nlm , fData.L, start = initialValues.L, control = nls.control(warnOnly = TRUE), trace=T ); summary.nls.L = summary(fit.nls.L); I run the same analysis in SAS proc NLIN. proc nlin data=apples outest=a; parms b=4 d=.04 t=180; model Y =

Estimados compañeros: Estoy interesado en el NLP, así que, al hallar el post State-of-the-art NLP models from R <https://blogs.rstudio.com/ai/posts/2020-07-30-state-of-the-art-nlp-models-from-r/>, gracias a Carlos Ortega, me puse con ilusión a leerlo. Sin embargo, tengo problemas con lo más básico, la instalación del paquete *transformers*. No puedo

Dear All, Does anyone use S or R for statistical natural language processing (NLP)? All I have found so far is a package called EMU (http://www.shlrc.mq.edu.au/emu/emu-splus.shtml) which is a speech wave-form processing package. What I'm looking for are routines to support text processing, text categorization, word sense disambiguation, text understanding etc. In particular, I would

Estimados Una pregunta, ¿Que posibilidad hay que esté instalado todo correctamente, pero algo cambie en entorno de python, el cual al ser buscado por R esté dando problemas? Hace años que no utilizo macOS, pero se me ocurre que un programa coloque en entorno adecuado para él, pero al mismo tiempo este toque al entorno requerido por R. Javier Rubén Marcuzzi El dom., 2 ago. 2020 a las 15:59,

Hola Diego, Prueba a hacer otra cosa. - Abre una consola y activa ese environment que has creado (r-reticulate) - Y una vez activado escribe "python". Entrarás a la consola de "python". - Ahí, escribe "import transformers" - Si no te devuelve error, es que en el entorno está bien instalado esa librería y por tanto el problema es de acceso desde

Hi all, I'm trying to fit a nonlinear (logistic-like) regression, and I'd like to get some recommendations for which package to use. The expression I want to fit is something like: y ~ A * exp(X * Beta1) / (1 + exp(-(x + X * Beta2 - xmid)/scal)) Basically, it's a logistic function, but I want to be able to modify the saturation amplitude by a few parameters (Beta1) and shift the

Hi, I'm dealing with an optimization problem. I'm using 'optim' to maximize the output of a function, given some restrictions on the input. I would like to know if there is a way to impose some restrictions on 'intermediate variables' of the function. An example.. fx = function (x) { s <- 0 for (i in 1:3) { s <- x[i]^3 + s } s } optim(rep(4,3),

---- Original message ---- >Date: Thu, 14 Jul 2005 19:50:41 +0200 >From: Uwe Ligges <ligges at statistik.uni-dortmund.de> >Subject: Re: [R] East Asian language >To: Nan Lin <nlin at math.wustl.edu> >Cc: r-help at stat.math.ethz.ch > >Nan Lin wrote: > >> Dear all, >> >> I just installed R 2.1.1. The installation program automatically

Do I have the right impression that it's currently not possible to produce confidence intervals for the nls predictions using R? I had a course were we used SAS PROC nlin and there you could get intervals for the parameters and the prediction but I do not have access to SAS. Would it be difficult to implement, I tried to dig into the help pages of nls, vcov and nlsModel but I could not

Hello, I am interested in fitting a segmented model with unknown joint points in nls and perhaps eventually in nlme. I can fit this model in sas (see below, joint points to be estimated are a41 and a41), but am unsure how to specify this in the nlm function. I would really appreciate any suggestions or example code. Thanks a lot. -andy proc nlin data=Stems.Trees; params b41=-3 b42=1.5

Does anybody know of these samba packages? http://ftp.cvut.cz/samba/samba-latest.tar.gz AFAICS they are faked and contain some kind of rootkit (you can see this in the history below. the server this history is from is taken offline for security reasons, and nobody is there till 7th Jan I can't give you more details) > 144 w > 145 cat /etc/issue > 146 uname -a > 147

Dear Sir, I am working with one example in R donlp2. How I can get the Hessian matrix from the output. p = c(10,10) par.l = c(-100,-100) par.u = c(100,100) nlin.l = nlin.u = 2 fn = function(x) { x[1]^2+x[2]^2 } dfn = function(x){ c(2*x[1], 2*x[2]) } attr(fn, "gr") = dfn nlcon = function(x){ x[1]*x[2] } dnlcon = function(x){ c(x[2], x[1]) } attr(nlcon, "gr") = dnlcon

Dear all I''m not sure is this question has much sense, but I''m working with nonlinear models using the nlme library (gnls fit for different groups) and I''m wondering if I can get the values of R-squared for each fit. I''ll appreciate any comment. Thanks in advance C. Mora

Hi Iam a newbie to NLP and I would like to get some directions on how to convert speech file to text Google search leads me to using GoogleLanguageR Package and API's but these need payments to be made for Google. Can someone suggest ways in which I can do the speech to text conversion in R studio ? Thanks for your help and time Regards Gayathri [[alternative HTML version deleted]]

Xapians! If tomorrow Xapian search engine would achieved the same performance and result in searches as Google we would not be able to beat Google, because we would create only a copy of the searches that already exists from Google search engine. However there is a way to beat anyone, and there is a way to beat Google successfully as well just do not give up. Some see it as implementing Ajax, or

Hi useRs, This is not so much a help request as it is a request for feedback about the possibilities of using Natural Language Processing (NLP) techniques on the r-help archives for a more 'effective' retrieval of answers. A few points that may capture what I'm trying to get at: 1) R has an emerging set of packages for NLP and text mining. Is it possible to provide the r-help archives

I want to analyze binary, multinomial, and count outcomes (as well as the occasional continuous one) for clustered data. The more I search the less I know, and so I'm hoping the list can provide me some guidance about which of the many alternatives to choose. The nlme package seemed the obvious place to start. However, it seems to be using specifications from nls, which does non-linear

I'll appreciate the help on the following problem: I solved many Nonlinear programming problems with nonlinear constraints....Rdonlp is working well but i am unable to get INTEGER data with nonlinear constraints in Rdonlp. Is it possible to get Integer Values of parameters in any package of R with nonlinear constraints. Rahul [[alternative HTML version deleted]]

Hi, My apologies for asking this question, but could not find the answer elsewhere. I understand the glmnet package uses Fortran code. For example, the lognet.R file includes the lines of code shown below. But how can I see the Fortran code that is being referenced in the code below? Is that provided somewhere in the package source code? .Fortran("lognet",