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iNZightTS  

Time Series for 'iNZight'
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("iNZightTS", "2.0.0")



Attach the package and use:
library("iNZightTS")
Maintained by
Tom Elliott
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-12
Latest Update: 2022-01-31
Description:
Provides a collection of functions for working with time series data, including functions for drawing, decomposing, and forecasting. Includes capabilities to compare multiple series and fit both additive and multiplicative models. Used by 'iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions. Holt (1957) , Winters (1960) , Cleveland, Cleveland, & Terpenning (1990) "STL: A Seasonal-Trend Decomposition Procedure Based on Loess".
How to cite:
Tom Elliott (2020). iNZightTS: Time Series for 'iNZight'. R package version 2.0.0, https://cran.r-project.org/web/packages/iNZightTS. Accessed 06 Jan. 2025.
Previous versions and publish date:
1.5.2 (2020-05-12 12:20), 1.5.7 (2020-10-19 00:10), 1.5.8 (2021-05-21 06:20), 1.5.9 (2022-01-31 22:50)
Other packages that cited iNZightTS R package
View iNZightTS citation profile
Other R packages that iNZightTS depends, imports, suggests or enhances
Complete documentation for iNZightTS
Functions, R codes and Examples using the iNZightTS R package
Some associated functions: decomposition . forecastplot . forecastsummary . ggplotable . iNZightTS-package . inzightts . log_if . rawplot . seaice . seasonplot . subseries . visitorsA2 . visitorsM2 . visitorsQ . 
Some associated R codes: datasets.R . decomposition.R . feat.R . forecastplot.R . iNZightTS.R . iNZightTS2-package.R . rawplot.R . seasonplot.R .  Full iNZightTS package functions and examples
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