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Easy-to-use, very fast implementation of various functional bases. Easily used together with other packages. A functional basis is a collection of basis functions [\phi_1, ..., \phi_n] that can represent a smooth function, i.e. $f(t) = \sum c_k \phi_k(t)$. First- and second-order derivatives are also included. These are the mathematically correct ones, no approximations applied. As of version 1.1, this package includes B-splines, Fourier bases and polynomials.
| Version: | 1.1.1 |
| Imports: | Rcpp (≥ 0.12.19) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown, microbenchmark |
| Published: | 2022-05-17 |
| Author: | Niels Olsen |
| Maintainer: | Niels Olsen <nalo at dtu.dk> |
| License: | GPL-3 |
| URL: | https://github.com/naolsen/fctbases |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | fctbases results |
| Reference manual: | fctbases.pdf |
| Package source: | fctbases_1.1.1.tar.gz |
| Windows binaries: | r-devel: fctbases_1.1.1.zip, r-release: fctbases_1.1.1.zip, r-oldrel: fctbases_1.1.1.zip |
| macOS binaries: | r-release (arm64): fctbases_1.1.1.tgz, r-oldrel (arm64): fctbases_1.1.1.tgz, r-release (x86_64): fctbases_1.1.1.tgz, r-oldrel (x86_64): fctbases_1.1.1.tgz |
| Old sources: | fctbases archive |
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