Package: SpATS 1.0-19
SpATS: Spatial Analysis of Field Trials with Splines
Analysis of field trial experiments by modelling spatial trends using two-dimensional Penalised spline (P-spline) models.
Authors:
SpATS_1.0-19.tar.gz
SpATS_1.0-19.zip(r-4.5)SpATS_1.0-19.zip(r-4.4)SpATS_1.0-19.zip(r-4.3)
SpATS_1.0-19.tgz(r-4.4-any)SpATS_1.0-19.tgz(r-4.3-any)
SpATS_1.0-19.tar.gz(r-4.5-noble)SpATS_1.0-19.tar.gz(r-4.4-noble)
SpATS_1.0-19.tgz(r-4.4-emscripten)SpATS_1.0-19.tgz(r-4.3-emscripten)
SpATS.pdf |SpATS.html✨
SpATS/json (API)
NEWS
| # Install 'SpATS' in R: |
| install.packages('SpATS', repos = c('https://mxrodriguezuvigo.r-universe.dev', 'https://cloud.r-project.org')) |
- wheatdata - Wheat yield in South Australia
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 days agofrom:a0610cf893. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 17 2024 |
| R-4.5-win | OK | Oct 17 2024 |
| R-4.5-linux | OK | Oct 17 2024 |
| R-4.4-win | OK | Oct 17 2024 |
| R-4.4-mac | OK | Oct 17 2024 |
| R-4.3-win | OK | Oct 17 2024 |
| R-4.3-mac | OK | Oct 17 2024 |
Exports:controlSpATSgetHeritabilityobtain.spatialtrendplot.SpATSplot.variogram.SpATSpredict.SpATSprint.SpATSPSANOVASAPSpATSsummary.SpATSvariogramvariogram.SpATS
Dependencies:data.tabledotCall64fieldsmapsRcppspamviridisLite
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Spatial analysis of field trials with splines | SpATS-package |
| Used to set various parameters controlling the fitting process | controlSpATS |
| Calculate heritabilities from 'SpATS' objects | getHeritability |
| Predictions of the spatial trend from an 'SpATS' object | obtain.spatialtrend |
| Default SpATS plotting | plot.SpATS |
| Default variogram.SpATS plotting | plot.variogram.SpATS |
| Predictions from an 'SpATS' object | predict.SpATS |
| Print method for 'SpATS' objects | print.SpATS |
| Define a two-dimensional penalised tensor-product of marginal B-Spline basis functions based on the P-spline ANOVA (PSANOVA) approach. | PSANOVA |
| Define a two-dimensional penalised tensor-product of marginal B-Spline basis functions. | SAP |
| Spatial analysis of field trials with splines | SpATS |
| Summary method for 'SpATS' objects | summary.SpATS |
| Sample variogram | variogram variogram.SpATS |
| Wheat yield in South Australia | wheatdata |
