search for: nistnl

Hello everyone, I'm trying to test the accurracy of R on the Eckerle4 dataset from NIST and I don't understand how the control option of the nls function works. I tought nls(...) was equivalent to nls(...control=nls.control()) i.e nls.control() was the default value of control, but here is the error I get : > n2=nls(V1~(b1/b2) *

...OPYING), except for ./src/muin2ser.f and ./misc which are free for non-commercial purposes. See file README for details. URL: http://www.r-project.org Index of Contents (Text) Reference Manual (PDF) Package Sources AnalyzeFMRI CoCoAn Devore5 EMV GLMMGibbs GenKern GeneSOM KernSmooth Matrix NISTnls Oarray PHYLOGR PTAk RArcInfo RMySQL RODBC RPgSQL RandomFields RmSQL Rstreams Rwave SASmixed SuppDists VR XML acepack adapt akima ash bindata blighty boot bootstrap bqtl car cclust cfa chron cluster cmprsk coda conf.design cramer date diamonds dse e1071 ellipse event.chart exactRankTests fastICA fd...

Dear R users and R friends, I have a little problem... I don't know anymore which package to use if I want to perform a power regression analysis. To be clear, I want to fit a regression model like this: fit <- ....(y ~ a * x ^ b + c) where a, b and c are coefficients of the model. The R Site does not have the answer I want... Thanks in advance and with kind regards, David

The idea that the Excel solver "has a good reputation for being fast and accurate" does not withstand an examination of the Excel solver's ability to solve the StRD nls test problems. Solver's ability is abysmal. 13 of 27 "answers" have zero accurate digits, and three more have fewer than two accurate digits -- and this is after tuning the solver to get a good

I just installed the new R 0.65.1 The fonctionnality to upgrade and install packages is a very great idea. But the file PACKAGES at http://www.ci.tuwien.ac.at:80/R/src/contrib/ is outdated : 3 of the 4 packages i try to install failed with a 404 not found : the package version are newer than the entry in the PACKAGES file : survival4 survival4_1.4-0.tar.gz Version: 1.1-0 rpart rpart_1.0-7.tar.gz

Dear friends. I tried the session below with 10 MB in both vsize and nsize but didn't get the example work. Is this a problem in LME or in me or both or somewhere else or undefined ? R : Copyright 1999, The R Development Core Team Version 0.64.0 Patched (May 3, 1999) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type

...ge >installed. Many of the enhancements to nls for S were written as part >of the NLME library and the R version of NLME is the lme package. >(Now that I write this all out it doesn't make as much sense as it >seemed to earlier but ...) > >There is also a package for R called NISTnls. This package includes >the data and models for the nonlinear least squares examples at the >U.S. National Institute for Standards and Technology (NIST). By >running the examples in that package you can check the nls function >itself. > -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-...

...icable OS: not applicable Submission from: (NULL) (212.198.234.254) Here's the listing of difference in version and existence between the PACKAGES file found in the contrib directory and the content of the directory. This cause a problem with the automatic install (and upgrade) of packages NISTnls 0.9-1 NISTnls_0.9-2.tar.gz bats not found in /R/src/contrib VR_5.3pl037-2.tar.gz not found in PACKAGES coda 0.4-5 coda_0.4-7.tar.gz Package: mclust 1.0-1 mclust_1.1-1.tar.gz nnet not found in /R/src/contrib ppr not found in /R/src/contrib ratetables_1.0-2.tar.gz not found in PACKAGES r...

...Experimental Data JGR JGR - Java Gui for R lmtest Testing Linear Regression Models locfit Local Regression, Likelihood and Density Estimation. mvtnorm Multivariate Normal and t Distributions NISTnls Nonlinear least squares examples from NIST nlme Linear and Nonlinear Mixed Effects Models nlstools Tools for nonlinear regression diagnostics nlt A nondecimated lifting transform for signal denoising nlts...

NIST maintains a repository of Statistical Reference Datasets at http://www.itl.nist.gov/div898/strd/. I have been working through the datasets to compare R's results to their references with the hope that if all works well, this could become a validation package. All the linear regression datasets give results with some degree of accuracy except one. The NIST model includes 11 parameters,

...ltinomRob","multtest","mvbutils","mvnmle","mvnormtest","mvoutlier","mvpart","mvtnorm","NADA","ncomplete","ncvar","negenes","network","neural","nFDR","NISTnls","nlme","nlmeODE","nlreg","nnet","nor1mix","norm","normalp","NORMT3","nortest","noverlap","npmc","numDeriv","nws","Oarray","odesolve","oni...