Package 'CDVI'

Title: Cuddy-Della Valle Index for Capturing the Instability in Time Series Data
Description: Cuddy-Della valle index gives the degree of instability present in the data by accommodating the effect of a trend. The adjusted R squared value of the best fitted model is chosen. The index is obtained by multiplying the coefficient of variation with square root of one minus the adjusted R-squared value. This package has been developed using concept of Shankar et al. (2022)<doi:10.3389/fsufs.2023.1208898>.
Authors: Dr. S. Vishnu Shankar [aut, cre], Dr. Ranjit Kumar Paul [aut], Dr. Md Yeasin [aut], Dr. Himadri Shekhar Roy [aut]
Maintainer: Dr. S. Vishnu Shankar <[email protected]>
License: GPL-3
Version: 0.1.0
Built: 2026-05-12 05:58:07 UTC
Source: https://github.com/cran/CDVI

Help Index

CDVI

Description

Cuddy-Della Valle Index for Capturing the Instability in Time Series Data.

Usage

CDVI(data, verbose = TRUE)

Arguments

data

Name of the data taken for the study
verbose

Logical. If TRUE, the function prints detailed information about its progress. Default is FALSE.

Value

CV, CDVI

References

1. Shankar, S. V., Chandel, A., Gupta, R. K., Sharma, S., Chand, H., Kumar, R., ... & Gowsar, S. N. (2023). Corrigendum: Exploring the dynamics of arrivals and prices volatility in onion (Allium cepa) using advanced time series techniques. Frontiers in Sustainable Food Systems, 7, 1290515. DOI: 10.3389/fsufs.2023.1208898

Examples

{
library(CDVI)
Prices <- runif(15, min = 800, max = 1200)
data <- data.frame(Prices)
CDVI(data = data$Prices)
}