The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Estimation and Prediction Functions Using Bayesian Hierarchical Spatial Finlay-Wilkinson Model for Analysis of Multi-Environment Field Trials.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2022-03-29 |
| DOI: | 10.32614/CRAN.package.spFW |
| Author: | Xingche Guo |
| Maintainer: | Xingche Guo <xguo at iastate.edu> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| In views: | Agriculture |
| CRAN checks: | spFW results |
| Reference manual: | spFW.pdf |
| Package source: | spFW_0.1.0.tar.gz |
| Windows binaries: | r-devel: spFW_0.1.0.zip, r-release: spFW_0.1.0.zip, r-oldrel: spFW_0.1.0.zip |
| macOS binaries: | r-release (arm64): spFW_0.1.0.tgz, r-oldrel (arm64): spFW_0.1.0.tgz, r-release (x86_64): spFW_0.1.0.tgz, r-oldrel (x86_64): spFW_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=spFW to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.