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.
- Version2023.8.31
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release09/05/2023
Documentation
Team
John C Nash
Duncan Murdoch
Show author detailsRolesAuthorFernando Miguez
Arkajyoti Bhattacharjee
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 471 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 16 times.
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Last 365 days
This package has been downloaded 6,187 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Sep 11, 2024 with 57 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports1 package
- Suggests12 packages
- Reverse Depends1 package
- Reverse Imports3 packages