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iperform  

Time Series Performance
View on CRAN: Click here


Download and install iperform package within the R console
Install from CRAN:
install.packages("iperform")

Install from Github:
library("remotes")
install_github("cran/iperform")

Install by package version:
library("remotes")
install_version("iperform", "0.0.3")



Attach the package and use:
library("iperform")
Maintained by
Patrick Ilunga
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-11-30
Latest Update: 2024-01-15
Description:
A tool to calculate the performance of a time series in a specific date or period. It is more intended for data analysis in the fields of finance, banking, telecommunications or operational marketing.
How to cite:
Patrick Ilunga (2023). iperform: Time Series Performance. R package version 0.0.3, https://cran.r-project.org/web/packages/iperform. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.0.1 (2023-11-30 11:20), 0.0.2 (2024-01-08 16:50)
Other packages that cited iperform R package
View iperform citation profile
Other R packages that iperform depends, imports, suggests or enhances
Complete documentation for iperform
Functions, R codes and Examples using the iperform R package
Some associated functions: dday . forecast_m . full_h . full_m . full_q . full_w . full_y . htd . iperform-package . mean_m . mtd . operateur_mobile . overview . qtd . service_mobile . taux_v . voix_mobile . wtd . ytd . 
Some associated R codes: data_doc-operateur_mobile.R . data_doc-service_mobile.R . data_doc-voix_mobile.R . dday.R . forecast_m.R . full_h.R . full_m.R . full_q.R . full_w.R . full_y.R . htd.R . iperform-package.R . mean_m.R . mtd.R . overview.R . qtd.R . taux_v.R . wtd.R . ytd.R .  Full iperform package functions and examples
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