unidata: Unidata Class

In iAR: Irregularly Observed Autoregressive Models

Unidata Class

Description

The 'unidata' class is an S7 class designed to represent univariate irregularly observed time series models with associated times, values, and optional error standard deviations.

Usage

unidata(times = integer(0), series = integer(0), series_esd = integer(0))

Arguments

times	A numeric vector representing 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.

Validation Rules

- '@times', '@series', and '@series_esd' must be vectors (not matrices or arrays). - The lengths of '@times' and '@series' must be the same. - If '@series_esd' is provided, it must be a vector with the same length as '@series'.

Examples

# Create a unidata object
unidata_instance <- unidata(
  times = c(1, 2, 3, 4),
  series = c(10, 20, 15, 25),
  series_esd = c(1, 1.5, 1.2, 1.8)
)

iAR documentation built on April 4, 2025, 2:21 a.m.