Package: spFW 0.1.0

spFW: Hierarchical Spatial Finlay-Wilkinson Model

Estimation and Prediction Functions Using Bayesian Hierarchical Spatial Finlay-Wilkinson Model for Analysis of Multi-Environment Field Trials.

Authors:Xingche Guo <[email protected]>

spFW_0.1.0.tar.gz
spFW_0.1.0.zip(r-4.5)spFW_0.1.0.zip(r-4.4)spFW_0.1.0.zip(r-4.3)
spFW_0.1.0.tgz(r-4.4-x86_64)spFW_0.1.0.tgz(r-4.4-arm64)spFW_0.1.0.tgz(r-4.3-x86_64)spFW_0.1.0.tgz(r-4.3-arm64)
spFW_0.1.0.tar.gz(r-4.5-noble)spFW_0.1.0.tar.gz(r-4.4-noble)
spFW_0.1.0.tgz(r-4.4-emscripten)spFW_0.1.0.tgz(r-4.3-emscripten)
spFW.pdf |spFW.html✨
spFW/json (API)

# Install 'spFW' in R:
install.packages('spFW', repos = c('https://xingcheg.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • fftw3– Library for computing Fast Fourier Transforms
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.08 score 12 scripts 103 downloads 4 exports 2 dependencies

Last updated 3 years agofrom:da0e7a59b6. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-win-x86_64NOTEOct 26 2024
R-4.5-linux-x86_64NOTEOct 26 2024
R-4.4-win-x86_64NOTEOct 26 2024
R-4.4-mac-x86_64NOTEOct 26 2024
R-4.4-mac-aarch64NOTEOct 26 2024
R-4.3-win-x86_64NOTEOct 26 2024
R-4.3-mac-x86_64NOTEOct 26 2024
R-4.3-mac-aarch64NOTEOct 26 2024

Exports:HFWM_estHFWM_predHSFWM_estHSFWM_pred

Dependencies:RcppRcppArmadillo