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stlplus  

Enhanced Seasonal Decomposition of Time Series by Loess
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("stlplus", "0.5.1")



Attach the package and use:
library("stlplus")
Maintained by
Ryan Hafen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-01-06
Latest Update: 2016-01-06
Description:
Decompose a time series into seasonal, trend, and remainder components using an implementation of Seasonal Decomposition of Time Series by Loess (STL) that provides several enhancements over the STL method in the stats package.These enhancements include handling missing values, providing higher order (quadratic) loess smoothing with automated parameter choices, frequency component smoothing beyond the seasonal and trend components, and some basic plot methods for diagnostics.
How to cite:
Ryan Hafen (2016). stlplus: Enhanced Seasonal Decomposition of Time Series by Loess. R package version 0.5.1, https://cran.r-project.org/web/packages/stlplus. Accessed 02 Feb. 2025.
Previous versions and publish date:
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Complete documentation for stlplus
Functions, R codes and Examples using the stlplus R package
Some associated functions: accessors . plot.stlplus . plot_cycle . plot_rembycycle . plot_seasonal . plot_trend . stlplus . 
Some associated R codes: RcppExports.R . accessors.R . cpp_wrappers.R . loess_stl.R . plots.R . stlplus.R .  Full stlplus package functions and examples
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