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: 2026-07-14 06:20:14 UTC; root
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: https://leticiaram.r-universe.dev
Date/Publication: 2019-07-15 09:50:03 UTC
RemoteUrl: https://github.com/cran/TSsmoothing
RemoteRef: HEAD
RemoteSha: 0d5315c52d1c767dd0e4bbce744e7a852c2f3db4