An R package with wrapper functions to automate the fitting of regression models fit using random forest machine learning algorithms.
This package is not actively maintained beyond the specific applications listed below:
- 2022 ISC North Pacific blue shark stock assessment: u4rfr used to conduct a catch reconstruction of the blue shark catch from the Hawaii longline.
u4rfr is not currently supported on CRAN. You can install the development version of u4rfr from GitHub with:
# install.packages("remotes")
remotes::install_github("N-DucharmeBarth-NOAA/u4rfr")The United States Department of Commerce (DOC) GitHub project code is provided on an ‘as is’ basis and the user assumes responsibility for its use. DOC has relinquished control of the information and no longer has responsibility to protect the integrity, confidentiality, or availability of the information. Any claims against the Department of Commerce stemming from the use of its GitHub project will be governed by all applicable Federal law. Any reference to specific commercial products, processes, or services by service mark, trademark, manufacturer, or otherwise, does not constitute or imply their endorsement, recommendation or favoring by the Department of Commerce. The Department of Commerce seal and logo, or the seal and logo of a DOC bureau, shall not be used in any manner to imply endorsement of any commercial product or activity by DOC or the United States Government.”
U.S. Department of Commerce | National Oceanographic and Atmospheric Administration | NOAA Fisheries