R: Sieve Methods for Non-Stationary Time Series

# Sieve Methods for Non-Stationary Time Series

## Documentation for package ‘Sie2nts’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

auto.pacf.test | The Test of Lag of Auto-Regressive (AR) Model Automatically
auto.test | The Test of Stability for Auto-Regressive (AR) Approximations Automatically
bs.gene | Generate Basis
bs.plot | Plots of Basis
fix.fit | Estimate the Coefficients of Auto-Regressive (AR) Model by User Specifying
fix.pacf | Generate Partial Autocorrelation Function (PACF) by User Specifying
fix.pacf.test | Testing Lag of Auto-Regressive (AR) Model
fix.plot | Plot Results of Estimating
fix.test | The Test of Stability for Auto-Regressive (AR) Approximations With Fixed Parameters
sie.auto.fit | Estimate the Coefficients of Auto-Regressive (AR) Model Automatically
sie.auto.pacf | Generate Partial Autocorrelation Function (PACF) Automatically
sie.auto.plot | Plot the Estimate Results by Automatic Fitting
sie.plot.pacf | Plot Partial Autocorrelation Function (PACF)
sie.predict | Predicting Time Series With H Steps