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) . Guerrero, V.M; Islas-Camargo, A. and Ramirez-Ramirez, L.L. (2017) .


Reference manual

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0.1.0 by L. Leticia Ramirez-Ramirez, a year ago

Browse source code at

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

Documentation:   PDF Manual  

GPL-3 license

Imports ggplot2, MASS, gridExtra, Matrix

See at CRAN