Package: TSsmoothing 0.1.0

TSsmoothing: Trend Estimation of Univariate and Bivariate Time Series with Controlled Smoothness

It performs the smoothing approach provided by penalized least squares for univariate and bivariate time series, as proposed by Guerrero (2007) and Gerrero et al. (2017). This allows to estimate the time series trend by controlling the amount of resulting (joint) smoothness. --- Guerrero, V.M (2007) <doi:10.1016/j.spl.2007.03.006>. Guerrero, V.M; Islas-Camargo, A. and Ramirez-Ramirez, L.L. (2017) <doi:10.1080/03610926.2015.1133826>.

Authors:L. Leticia Ramirez-Ramirez [aut, cre], Alejandro Islas-Camargo [aut], Victor M. Guerrero [aut]

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TSsmoothing.pdf |TSsmoothing.html
TSsmoothing/json (API)

# Install 'TSsmoothing' in R:
install.packages('TSsmoothing', repos = c('https://leticiaram.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • emp_agr - Employment in agriculture
  • ltable - Lambda values table.
  • trade - Annual Trade for USA and Mexico

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 101 downloads 10 exports 29 dependencies

Last updated 6 years agofrom:0d5315c52d. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 13 2025
R-4.5-winOKMar 13 2025
R-4.5-macOKMar 13 2025
R-4.5-linuxOKMar 13 2025
R-4.4-winOKMar 13 2025
R-4.4-macOKMar 13 2025
R-4.4-linuxOKMar 13 2025
R-4.3-winOKMar 13 2025
R-4.3-macOKMar 13 2025

Exports:corrmvcgraph_trendlambda_valueplot_trendpositive_definitepreliminarpsigma_estimatessigma_zfsmoothing_leveltrend_estimate

Dependencies:clicolorspacefansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr