Type: | Package |
Title: | Complete Annual Growth Rate Generator |
Version: | 0.1.3 |
Maintainer: | Ashis Ranjan Udgata <ashisu93@gmail.com> |
Depends: | R(≥ 2.10) |
Suggests: | testthat (≥ 3.0.0) |
Description: | It is designed to streamline the process of calculating complete annual growth rates with user-friendly functions and robust algorithms. It enables researchers and analysts to effortlessly generate precise growth rate estimates for their data. For method details see, Sharma, M.K.(2013) https://www.indianjournals.com/ijor.aspx?target=ijor:jfl&volume=26&issue=1and2&article=018. It offers a comprehensive suite of functions and customisable parameters. Equipped to handle varying complexities in data structures. It empowers users to uncover insightful growth dynamics and make informed decisions. |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] |
Encoding: | UTF-8 |
RoxygenNote: | 7.3.1 |
Imports: | stats |
NeedsCompilation: | no |
Packaged: | 2024-03-12 12:27:45 UTC; Ashis |
Author: | Ashis Ranjan Udgata [aut, cre], Devraj [aut], Rekha Rani [aut], Uma Sah [aut] |
Repository: | CRAN |
Date/Publication: | 2024-03-12 20:20:02 UTC |
CompGR: Complete Annual Growth Rate Generator
Description
CompGR: Complete Annual Growth Rate Generator
Usage
cAgr(time, obs, model = NULL)
Arguments
time |
A numeric vector containing sequence of time points |
obs |
A numeric vector containing sequence of observations |
model |
Three models. User can may select one of the three methods including Linear, Logarithmic and Compound growth |
Value
CAGR
References
1. Sharma, M. K., Sisodia, B. V. S., & Lal, K. (2013). Growth and trends of pulse production in India. Journal of Food Legumes, 26(1and2), 86-92.
Examples
time<-c(1,2,3,4,5,6,7)
obs<-c(14,18,19,15,14,17,16)
CAGR_out<-cAgr(time=time,obs=obs,model="lin")