Additional steps to be used with the 'recipes' package. New steps
were designed for regression deconvolution on datasets with millions of rows
with applications to signal decomposition and response
characterization. The methods in this package were developed as part of
PhD thesis titled High Frequency Water Level Responses to Natural
Signals <http://hdl.handle.net/10214/17890> by Jonathan Kennel in 2020.
| Version: |
0.0.3 |
| Depends: |
R (≥ 4.1.0), recipes (≥ 0.1.15) |
| Imports: |
Rcpp (≥ 1.0.7), earthtide, generics, splines, tibble, dplyr, rlang, tidyr, fftw |
| LinkingTo: |
Rcpp, RcppArmadillo, RcppParallel |
| Suggests: |
knitr, rmarkdown, ggplot2, scales, broom, glmnet, testthat (≥ 3.0.0), covr, splines2 |
| Published: |
2022-06-27 |
| Author: |
Jonathan Kennel [aut, cre],
Beth Parker [ths] |
| Maintainer: |
Jonathan Kennel <jkennel at uoguelph.ca> |
| BugReports: |
https://github.com/jkennel/hydrorecipes/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/jkennel/hydrorecipes |
| NeedsCompilation: |
yes |
| SystemRequirements: |
C++11 |
| Materials: |
README NEWS |
| CRAN checks: |
hydrorecipes results |