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Fit a time-series model to a crop phenology data, such as time-series rice canopy height. This package returns the model parameters as the summary statistics of crop phenology, and these parameters will be useful to characterize the growth pattern of each cultivar and predict manually-measured traits, such as days to heading and biomass. Please see Taniguchi et al. (2022) <doi:10.3389/fpls.2022.998803> for detail. This package has been designed for scientific use. Use for commercial purposes shall not be allowed.
| Version: | 0.0.2 |
| Depends: | R (≥ 4.2.0) |
| Imports: | purrr |
| Suggests: | dplyr, knitr, testthat (≥ 3.0.0) |
| Published: | 2023-07-13 |
| DOI: | 10.32614/CRAN.package.phenolocrop |
| Author: | Shoji Taniguchi [aut, cre], The National Agriculture and Food Research Organization (NARO) [cph] |
| Maintainer: | Shoji Taniguchi <taniguchis532 at affrc.go.jp> |
| License: | CC BY-NC 4.0 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | phenolocrop results |
| Reference manual: | phenolocrop.pdf |
| Vignettes: |
logisLateDicr |
| Package source: | phenolocrop_0.0.2.tar.gz |
| Windows binaries: | r-devel: phenolocrop_0.0.2.zip, r-release: phenolocrop_0.0.2.zip, r-oldrel: phenolocrop_0.0.2.zip |
| macOS binaries: | r-release (arm64): phenolocrop_0.0.2.tgz, r-oldrel (arm64): phenolocrop_0.0.2.tgz, r-release (x86_64): phenolocrop_0.0.2.tgz, r-oldrel (x86_64): phenolocrop_0.0.2.tgz |
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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.