utilities: Utilities Class

In iAR: Irregularly Observed Autoregressive Models

Utilities Class

Description

The 'utilities' class is an S7 class designed to group utility functions that are not directly tied to other specific objects in the package. These include the functions 'gentime', 'paringits', 'harmonicfit', and 'foldlc'.

Usage

utilities(
  times = integer(0),
  series = integer(0),
  series_esd = integer(0),
  times_phased = integer(0),
  series_phased = integer(0),
  series_esd_phased = integer(0),
  fitted_values = integer(0),
  residuals = integer(0),
  coef = integer(0),
  summary = list(),
  paired = integer(0)
)

Arguments

times	A numeric vector storing the time points.
series	A numeric vector representing the values of the time series.
series_esd	A numeric vector representing the error standard deviations of the time series.
times_phased	A numeric vector of phased times.
series_phased	A numeric vector containing the time series values ordered by phase.
series_esd_phased	A numeric vector containing the error standard deviations of the time series ordered by phase.
fitted_values	A numeric vector containing the fitted values from the harmonic model.
residuals	A numeric vector containing the residuals from the harmonic model.
coef	A numeric vector containing the estimated coefficients of the harmonic model.
summary	A summary object containing the harmonic model information.
paired	Data Frame with the paired datasets.

Description

This class acts as a container for standalone methods that perform independent operations within the package. By grouping them under a single class, the package achieves better modularity and organization, facilitating maintenance and extensibility.

Available Methods

- 'gentime': Generates time points based on a specified statistical distribution. - 'paringits': A method for pairing irregular time series. - 'harmonicfit': A method for fitting harmonic models to data. - 'foldlc': A method for folding light curves in time series analysis.

Examples

# Create a utilities object

iAR documentation built on Nov. 5, 2025, 6:19 p.m.