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phenolocrop

Overview

phenolocrop has been developed for the time-series analysis of crop traits. In time-series analysis, one data is composed of serial observation and interpreted by means of "time-series models." Therefore, phenolocrop is aimed at applying appropriate time-series model to the time-series observation of crop, which is called phenology.

Installation

install.packages("phenolocrop")

Target traits and models

At the latest version (0.0.3), phenolocrop package offers a model for rice canopy height data and CIg data.

  • Trait: Rice canopy height.

    • Model: Three-parameter logistic with the decrease in the late growth phase. Use logisLateDicr function.
  • Trait: Rice CIg.

    • Model: Double logistic model. Use doubleLogis function.

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Version

Install

install.packages('phenolocrop')

Monthly Downloads

174

Version

0.0.4

License

CC BY-NC 4.0

Maintainer

Shoji Taniguchi

Last Published

October 10th, 2025

Functions in phenolocrop (0.0.4)

doubleLogis

Double logistic function for the time-series data.
riceCH_eg

Rice canopy height example data
logisLateDicr

Three-parameter logistic with the decrease in the late growth phase
phenololine

Return time-series curve given the time-series model and parameter values
riceCIg_eg

Rice CIg example data