Package: TSsmoothing
Type: Package
Title: Trend Estimation of Univariate and Bivariate Time Series with
        Controlled Smoothness
Version: 0.1.0
Authors@R: c(
    person("L. Leticia", "Ramirez-Ramirez", email = "leticia.ramirez@cimat.mx", role = c("aut", "cre")),
    person("Alejandro", "Islas-Camargo", email = "", role = "aut"),
    person("Victor M.", "Guerrero", email = "", role = "aut"))
Description: 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>.
Depends: R (>= 3.5.0)
Imports: ggplot2(>= 3.2.0), MASS (>= 7.3.0), gridExtra (>= 2.3.0),
        Matrix (>= 1.2.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-07-10 15:32:03 UTC; hp
Author: L. Leticia Ramirez-Ramirez [aut, cre],
  Alejandro Islas-Camargo [aut],
  Victor M. Guerrero [aut]
Maintainer: L. Leticia Ramirez-Ramirez <leticia.ramirez@cimat.mx>
Repository: CRAN
Date/Publication: 2019-07-15 10:50:03 UTC
Built: R 4.6.0; ; 2026-04-26 10:56:29 UTC; unix
