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TrendSLR  

Estimating Trend, Velocity and Acceleration from Sea Level Records
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("TrendSLR", "1.0")



Attach the package and use:
library("TrendSLR")
Maintained by
Phil J Watson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-07
Latest Update: 2019-08-07
Description:
Analysis of annual average ocean water level time series, providing improved estimates of trend (mean sea level) and associated real-time velocities and accelerations. Improved trend estimates are based on singular spectrum analysis methods. Various gap-filling options are included to accommodate incomplete time series records. The package also includes a range of diagnostic tools to inspect the components comprising the original time series which enables expert interpretation and selection of likely trend components. A wide range of screen and plot to file options are available in the package.
How to cite:
Phil J Watson (2019). TrendSLR: Estimating Trend, Velocity and Acceleration from Sea Level Records. R package version 1.0, https://cran.r-project.org/web/packages/TrendSLR
Previous versions and publish date:
No previous versions
Other packages that cited TrendSLR R package
View TrendSLR citation profile
Other R packages that TrendSLR depends, imports, suggests or enhances
Functions, R codes and Examples using the TrendSLR R package
Some associated functions: Balt . TrendSLR . check.decomp . custom.trend . gap.fillview . msl.fileplot . msl.screenplot . msl.trend . s . summary . t . 
Some associated R codes: balt-data.R . check.decomp.R . custom.trend.R . msl-name.R . msl.fileplot.R . msl.screenplot.R . msltrend.R . s-data.R . t-data.R .  Full TrendSLR package functions and examples
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