Package: TrendSLR 1.0

Phil J Watson

TrendSLR: Estimating Trend, Velocity and Acceleration from Sea Level Records

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.

Authors:Phil J Watson <philwatson.slr@gmail.com>

TrendSLR_1.0.tar.gz
TrendSLR_1.0.tar.gz(r-4.5-noble)TrendSLR_1.0.tar.gz(r-4.4-noble)
TrendSLR_1.0.tgz(r-4.4-emscripten)TrendSLR_1.0.tgz(r-4.3-emscripten)
TrendSLR.pdf |TrendSLR.html✨
TrendSLR/json (API)

# Install 'TrendSLR' in R:
install.packages('TrendSLR', repos = 'https://cloud.r-project.org')
Datasets:
  • Balt - Ocean water level data for Baltimore, USA
  • s - Sample 'msl.trend' object
  • t - Sample 'custom.trend' object

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 112 downloads 7 exports 61 dependencies

Last updated 6 years agofrom:6156b36e4a. Checks:2 OK, 1 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 13 2025
R-4.5-linuxNOTEMar 13 2025
R-4.4-linuxOKMar 13 2025

Exports:check.decompcustom.trendgap.fillviewmsl.fileplotmsl.screenplotmsl.trendsummary

Dependencies:changepointclicolorspacecommonmarkcurlfansifarverforecastfracdiffgenericsggplot2ggtextgluegridtextgtableimputeTSisobandjpegjsonlitelabelinglatticelifecyclelmtestmagrittrmarkdownMASSMatrixmgcvmunsellnlmennetpillarpkgconfigplyrpngquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangRssascalesstinepackstringistringrsvdtibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxfunxml2xtszoo

Citation

To cite package ‘TrendSLR’ in publications use:

Watson PJ (2019). TrendSLR: Estimating Trend, Velocity and Acceleration from Sea Level Records. R package version 1.0, https://CRAN.R-project.org/package=TrendSLR.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {TrendSLR: Estimating Trend, Velocity and Acceleration from
      Sea Level Records},
    author = {Phil J Watson},
    year = {2019},
    note = {R package version 1.0},
    url = {https://CRAN.R-project.org/package=TrendSLR},
  }