preliminar: Preliminar smoothing

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

Description

Obtains the preliminar smoothed series, based on the preliminar lambda value and empirical estimates for Sigma_eta and Sigma_epsilon. This function is called by trend_estimate as part of the smoothing process.

Usage

preliminar(dat)

Arguments

dat	is a 2-column matrix with the observations of a bivariate time series. Each row correspond to the values at a given time.

Value

The preliminary smoothen series ptau.

The final estimate for sigma.eta

The time series correlation given by sigma.eta, rho.eta.

The preliminary estimation for sigma_epsilon, sigma.epsilon,

A suggested value for lambda given by the empirical estimations.

The empirical time series correlation (preliminar to rho.eta), emp_rho.

The time series length N.

TSsmoothing documentation built on July 15, 2019, 5:01 p.m.