ci_ordinal_dispersion {otsfeatures} | R Documentation |
ci_ordinal_dispersion
constructs a confidence interval for the
ordinal dispersion (block distance)
ci_ordinal_dispersion(
series,
states,
level = 0.95,
temporal = TRUE,
max_lag = 1
)
series |
An OTS (numerical vector with integers). |
states |
A numeric vector containing the corresponding states. |
level |
The confidence level (default is 0.95). |
temporal |
Logical. If |
max_lag |
If |
If temporal = TRUE
(default), the function constructs the confidence interval for the
ordinal dispersion relying on Theorem 7.1.1 in Weiß (2019). Otherwise,
the interval is constructed according to Theorem 4.1 in Weiß (2019).
The confidence interval.
Ángel López-Oriona, José A. Vilar
Weiß CH (2019). “Distance-based analysis of ordinal data and ordinal time series.” Journal of the American Statistical Association.
ci_dispersion <- ci_ordinal_dispersion(AustrianWages$data[[100]],
states = 0 : 5) # Constructing a confidence interval for the
# ordinal dispersion for one OTS in dataset AustrianWages