emp_agr

<p>Dataset of the </p>

datasets

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.
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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>.

L. Leticia Ramirez-Ramirez

TSsmoothing

Trend Estimation of Univariate and Bivariate Time Series with
Controlled Smoothness

Alejandro Islas-Camargo

Victor M. Guerrero

emp_agr function

<p>A ts vector a length of 25 observations from 1991 to 2015.</p>

emp_agr: Employment in agriculture

Description

Usage

Arguments

Format