Provides some easy-to-use functions for time series
        analyses of (plant-) phenological data sets. These functions
        mainly deal with the estimation of combined phenological time
        series and are usually wrappers for functions that are already
        implemented in other R packages adapted to the special
        structure of phenological data and the needs of phenologists.
        Some date conversion functions to handle Julian dates are also
        provided.

Programmatic interface to the 'PhenoCam' web services (<https://phenocam.nau.edu/webcam>).
    Allows for easy downloading of 'PhenoCam' data directly to your R workspace
    or your computer and provides post-processing routines for consistent and easy
    timeseries outlier detection, smoothing and estimation of phenological transition dates.
    Methods for this package are described in detail in Hufkens et. al (2018) <doi:10.1111/2041-210X.12970>.

Using the Bayesian state-space approach, we developed a continuous development model to quantify dynamic incremental changes in the response variable. While the model was originally developed for daily changes in forest green-up, the model can be used to predict any similar process. The CDM can capture both timing and rate of nonlinear processes. Unlike statics methods, which aggregate variations into a single metric, our dynamic model tracks the changing impacts over time. The CDM accommodates nonlinear responses to variation in predictors, which changes throughout development.

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.