multidata: Multidata Class

In iAR: Irregularly Observed Autoregressive Models

Multidata Class

Description

The 'multidata' class is an S7 class designed to represent multidimensional time series models, including the main time series and additional series (e.g., error standard deviations or related variables).

Usage

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

Arguments

times	A numeric vector representing the time points of the time series.
series	A numeric vector or matrix representing the main time series.
series_esd	A numeric vector or matrix representing the additional series, such as error standard deviations or other related data.

Validation Rules

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

Examples

# Create a multidata object
multidata_instance <- multidata(
  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.