Package: phenolocrop 0.0.4

Shoji Taniguchi

phenolocrop: Time-Series Models to the Crop Phenology

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> and Taniguchi et al. (2025) <doi:10.3389/frai.2024.1477637> for detail. This package has been designed for scientific use. Use for commercial purposes shall not be allowed.

Authors:Shoji Taniguchi [aut, cre], The National Agriculture and Food Research Organization [cph]

phenolocrop_0.0.4.tar.gz
phenolocrop_0.0.4.zip(r-4.7-any)phenolocrop_0.0.4.zip(r-4.6-any)
phenolocrop_0.0.4.tar.gz(r-4.7-any)phenolocrop_0.0.4.tar.gz(r-4.6-any)
phenolocrop_0.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
phenolocrop/json (API)

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

On CRAN:

Conda:

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

3.11 score 1 stars 13 scripts 219 downloads 3 exports 7 dependencies

Last updated from:0d2a329099. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK128
source / vignettesOK169
linux-releaseOK123
windows-develOK59
windows-releaseOK68
wasm-releaseOK111

Exports:doubleLogislogisLateDicrphenololine

Dependencies:cligluelifecyclemagrittrpurrrrlangvctrs

doubleLogis
1. Package loading | 2. Data | 3. Estimate model parameters | 4. Plot time-series model and measured CH data | 5. Time-series model | 6. Reference
Rendered fromdoubleLogis.Rmdusingknitr::rmarkdown

Last update: 2025-10-10
Started: 2025-10-10

logisLateDicr
1. Package loading | 2. Data | 3. Estimate model parameters | 4. Plot time-series model and measured CH data | 5. Time-series model | 6. Reference
Rendered fromlogisLateDicr.Rmdusingknitr::rmarkdown

Last update: 2023-07-13
Started: 2023-07-13