nlsr
Functions for Nonlinear Least Squares Solutions - Updated 2022
Provides tools for working with nonlinear least squares problems. For the estimation of models reliable and robust tools than nls(), where the the Gauss-Newton method frequently stops with 'singular gradient' messages. This is accomplished by using, where possible, analytic derivatives to compute the matrix of derivatives and a stabilization of the solution of the estimation equations. Tools for approximate or externally supplied derivative matrices are included. Bounds and masks on parameters are handled properly.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2023.8.31 |
rolling linux/jammy R-4.5 | nlsr_2023.8.31.tar.gz |
3.2 MiB |
2023.8.31 |
rolling linux/noble R-4.5 | nlsr_2023.8.31.tar.gz |
3.2 MiB |
2023.8.31 |
rolling source/ R- | nlsr_2023.8.31.tar.gz |
3.2 MiB |
2023.8.31 |
latest linux/jammy R-4.5 | nlsr_2023.8.31.tar.gz |
3.2 MiB |
2023.8.31 |
latest linux/noble R-4.5 | nlsr_2023.8.31.tar.gz |
3.2 MiB |
2023.8.31 |
latest source/ R- | nlsr_2023.8.31.tar.gz |
3.2 MiB |
2023.8.31 |
2026-04-26 source/ R- | nlsr_2023.8.31.tar.gz |
3.2 MiB |
2023.8.31 |
2026-04-23 source/ R- | nlsr_2023.8.31.tar.gz |
3.2 MiB |
2023.8.31 |
2026-04-09 windows/windows R-4.5 | nlsr_2023.8.31.zip |
3.2 MiB |
2023.8.31 |
2025-04-20 source/ R- | nlsr_2023.8.31.tar.gz |
3.2 MiB |