Package: colf 0.1.3
Theo Boutaris
colf: Constrained Optimization on Linear Function
Performs least squares constrained optimization on a linear objective function. It contains a number of algorithms to choose from and offers a formula syntax similar to lm().
Authors:
colf_0.1.3.tar.gz
colf_0.1.3.zip(r-4.5)colf_0.1.3.zip(r-4.4)colf_0.1.3.zip(r-4.3)
colf_0.1.3.tgz(r-4.4-any)colf_0.1.3.tgz(r-4.3-any)
colf_0.1.3.tar.gz(r-4.5-noble)colf_0.1.3.tar.gz(r-4.4-noble)
colf_0.1.3.tgz(r-4.4-emscripten)colf_0.1.3.tgz(r-4.3-emscripten)
colf.pdf |colf.html✨
colf/json (API)
| # Install 'colf' in R: |
| install.packages('colf', repos = c('https://lyzander.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lyzander/colf/issues
Last updated 7 years agofrom:8d6a150709. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 03 2024 |
| R-4.5-win | OK | Nov 03 2024 |
| R-4.5-linux | OK | Nov 03 2024 |
| R-4.4-win | OK | Nov 03 2024 |
| R-4.4-mac | OK | Nov 03 2024 |
| R-4.3-win | OK | Nov 03 2024 |
| R-4.3-mac | OK | Nov 03 2024 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Coefficients for colf_nlxb | coef.colf_nlxb |
| Non linear Least Squares Optimization on a Linear Objective Function | colf_nls |
| Nash Variant of the Marquardt algorithm on a linear objective function | colf_nlxb |
| Construct an nls-compatible formula from an lm style formula | construct_formula |
| Fitted values for colf_nlxb | fitted.colf_nlxb |
| Predict method for colf_nls | predict.colf_nls |
| Predict method for colf_nlxb | predict.colf_nlxb |
| colf_nlxb Print method | print.colf_nlxb |
| Residuals for colf_nlxb | residuals.colf_nlxb |
| colf_nlxb Summary | summary.colf_nlxb |