Arkajyoti Bhattacharjee

Arkajyoti Bhattacharjee

Ph.D. student in Statistics

Sitemap

A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Making a package from base R files

less than 1 minute read

Published:

This article tries to explain an approach to developing alternative versions of functions which are in the distributed base of R.

portfolio

publications

A Comparison of R Tools for Nonlinear Least Squares Modeling

Published in R Journal, 2023

Abstract
Our Google Summer of Code project “Improvements to nls ()” investigated rationalizing R tools for nonlinear regression and nonlinear estimation tools by considering usability, maintainability, and functionality, especially for a Gauss-Newton solver. The rich features of nls () are weakened by several deficiencies and inconsistencies such as a lack of stabilization of the Gauss-Newton solver. Further considerations are the usability and maintainability of the code base that provides the functionality nls () claims to offer. Various packages, including our nlsr, provide alternative capabilities. We consider the differences in goals, approaches, and features of different tools for nonlinear least squares modeling in R. Discussion of these matters is relevant to improving R generally as well as its nonlinear estimation tools.

Recommended citation: Nash, J. C., & Bhattacharjee, A. (2023). A Comparison of R Tools for Nonlinear Least Squares Modeling. R Journal, 15(4). https://journal.r-project.org/articles/RJ-2023-091/RJ-2023-091.pdf

talks

teaching