sie.plot.pacf {Sie2nts}

Plot Partial Autocorrelation Function (PACF)

Description

sie.plot.pacf() shows the PACF with different lag.

Usage

sie.plot.pacf(ts, c, lag, type, ops = "2d", title = "", m = 500, or = 4)

Arguments

ts

ts is the data set which is a time series data typically

c

c indicates the number of basis used to estimate (For wavelet, the number of basis is 2^c. If Cspli is chosen, the real number of basis is c-2+or)

lag

lag b is the lag for auto-regressive model

type

type indicates which type of basis is used (There are 32 types in this package)

ops

choose 2D plot or 3D plot ("2d" inicates 2D plot and "3d" indicates 3D plot)

title

give the title for the pacf plot

m

m indicates the number of points of coefficients to estimate

or

or indicates the order of spline, default is 4 which indicates cubic spline

Value

The plot of pacf basis on the time series data