tswge2.1.0 package

Time Series for Data Science

psi.weights.wge

Calculate psi weights for an ARMA model

roll.win.rmse.nn.wge

Function to Calculate the Rolling Window RMSE

roll.win.rmse.wge

Function to Calculate the Rolling Window RMSE

sample.spec.wge

Smoothed Periodogram using Parzen Window

slr.wge

Simple Linear Regression

aic.ar.wge

AR Model Identification for AR models

aic.burg.wge

AR Model Identification using Burg Estimates

aic.wge

ARMA Model Identification

aic5.ar.wge

Return top 5 AIC, AICC, or BIC picks for AR model fits

aic5.wge

Return top 5 AIC, AICC, or BIC picks

artrans.wge

Perform Ar transformations

backcast.wge

Calculate backcast residuals

butterworth.wge

Perform Butterworth Filter

co.wge

Cochrane-Orcutt test for trend

est.ar.wge

Estimate parameters of an AR(p) model

est.arma.wge

Function to calculate ML estimates of parameters of stationary ARMA mo...

est.farma.wge

Estimate the parameters of a FARMA model.

est.garma.wge

Estimate the parameters of a GARMA model.

est.glambda.wge

Estimate the value of lambda and offset to produce a stationary dual.

expsmooth.wge

Exponential Smoothing

factor.comp.wge

Create a factor table and AR components for an AR realization

factor.wge

Produce factor table for a kth order AR or MA model

fore.arima.wge

Function for forecasting from known model which may have (1-B)^d and/o...

fore.arma.wge

Forecast from known model

fore.aruma.wge

Function for forecasting from known model which may have (1-B)^d, seas...

fore.farma.wge

Forecast using a FARMA model

fore.garma.wge

Forecast using a GARMA model

fore.glambda.wge

Forecast using a G(lambda) model

fore.sigplusnoise.wge

Forecasting signal plus noise models

gegenb.wge

Calculates Gegenbauer polynomials

gen.arch.wge

Generate a realization from an ARCH(q0) model

gen.arima.wge

Function to generate an ARIMA (or ARMA) realization

gen.arma.wge

Function to generate an ARMA realization

gen.aruma.wge

Function to generate an ARUMA (or ARMA or ARIMA) realization

gen.garch.wge

Generate a realization from a GARCH(p0,q0) model

gen.garma.wge

Function to generate a GARMA realization

gen.geg.wge

Function to generate a Gegenbauer realization

gen.glambda.wge

Function to generate a g(lambda) realization

gen.sigplusnoise.wge

Generate data from a signal-plus-noise model

hilbert.wge

Function to calculate the Hilbert transformation of a given real value...

is.glambda.wge

Instantaneous spectrum

is.sample.wge

Sample instantaneous spectrum based on periodogram

kalman.miss.wge

Kalman filter for simple signal plus noise model with missing data

kalman.wge

Kalman filter for simple signal plus noise model

ljung.wge

Ljung-Box Test

ma.pred.wge

Predictive or rolling moving average

ma.smooth.wge

Centered Moving Average Smoother

macoef.geg.wge

Calculate coefficients of the general linear process form of a Gegenba...

mult.wge

Multiply Factors

pacfts.wge

Compute partial autocorrelations

parzen.wge

Smoothed Periodogram using Parzen Window

period.wge

Calculate the periodogram

pi.weights.wge

Calculate pi weights for an ARMA model

plotts.dwt.wge

Plots Discrete Wavelet Transform (DWT)

plotts.mra.wge

Plots MRA plot)

plotts.parzen.wge

Calculate and plot the periodogram and Parzen window estimates with di...

plotts.sample.wge

Plot Data, Sample Autocorrelations, Periodogram, and Parzen Spectral E...

plotts.true.wge

Plot of generated data, true autocorrelations and true spectral densit...

plotts.wge

Plot a time series realization

trans.to.dual.wge

Transforms TVF data set to a dual data set

trans.to.original.wge

Transforms dual data set back to original time scale

true.arma.aut.wge

True ARMA autocorrelations

true.arma.spec.wge

True ARMA Spectral Density

true.farma.aut.wge

True FARMA autocorrelations

true.garma.aut.wge

True GARMA autocorrelations

tswge-package

Time Series package for Woodward, Gray, and Elliott text

unit.circle.wge

Plot the roots of the characteristic equation on the complex plain.

wbg.boot.wge

Woodward-Bottone-Gray test for trend

wv.wge

Function to calculate Wigner Ville spectrum

Accompanies the texts Time Series for Data Science with R by Woodward, Sadler and Robertson & Applied Time Series Analysis with R, 2nd edition by Woodward, Gray, and Elliott. It is helpful for data analysis and for time series instruction.

  • Maintainer: Bivin Sadler
  • License: GPL-2
  • Last published: 2023-01-31