ci_ordinal_skewness {otsfeatures} | R Documentation |
Constructs a confidence interval for the ordinal skewness (block distance)
Description
ci_ordinal_skewness
constructs a confidence interval for the
ordinal skewness (block distance)
Usage
ci_ordinal_skewness(series, states, level = 0.95, temporal = TRUE, max_lag = 1)
Arguments
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 |
Details
If temporal = TRUE
(default), the function constructs the confidence interval for the
ordinal skewness relying on Theorem 7.1.1 in Weiß (2019). Otherwise,
the interval is constructed according to Theorem 4.1 in Weiß (2019).
Value
The confidence interval.
Author(s)
Ángel López-Oriona, José A. Vilar
References
Weiß CH (2019). “Distance-based analysis of ordinal data and ordinal time series.” Journal of the American Statistical Association.
Examples
ci_skewness <- ci_ordinal_skewness(AustrianWages$data[[100]],
states = 0 : 5) # Constructing a confidence interval for the
# ordinal skewness for one OTS in dataset AustrianWages