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Temporary example for testing optim replacement (KMbranch)
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Apr 16, 2026
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Temporary example for testing optim replacement (KMbranch)
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Commits on Dec 8, 2025
Loss function based on LnjTinyNew.f. Note that this loss function does not fully match the one described in the paper: Spline-based Nonlinear Biplots; the code includes a penalty term (consistent w…
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Created a temporary folder for testing examples; this can be removed before merging. The folder is added to .Rbuildignore so it does not affect the package.
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Add the temporary example folder to .Rbuildignore.
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Remove temporary example file
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Example is extended to multivariate responses
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Commits on Dec 9, 2025
Some minor corrections to the biplot.spline.axis function to improve its alignment with the Fortran implementation.
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Example: calling from Fortran
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Commits on Dec 13, 2025
Full Translation from Fortran to Rcpp
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Replace R's optim() with a fully manual Nelder–Mead optimization algorithm implemented in Rcpp
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Commits on Dec 16, 2025
All Fortran code has been removed.
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The spline graph function has been updated from fortran to Rcpp.
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Ready to install
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Commits on Dec 28, 2025
Differences with orignal code (fortran):
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fixed all the randomness in this code (using seed), so you should see a similar result for Rcpp and Fortran.
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Commits on Jan 21, 2026
I fixed all the randomness in this code (using seed), so you should see a similar result for Rcpp and Fortran.
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Commits on Apr 9, 2026
remove unused code and comments
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add tests/temp/ directory to .Rbuildignore
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remove unused Fortran utility functions to improve performance and memory usage
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Commits on Apr 16, 2026
add documentation for biplot.spline.axis function.
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