Transfer Function and ARIMA Models
Unobserved components
Univariate (ARIMA) model
Variable selection
Lag polynomial
Convert arima
into um
.
Theoretical simple/partial autocorrelations of an ARMA model
Theoretical autocovariances of an ARMA model
Basic Structural Time Series models
Calendar effects
Calendar variables
Cross-correlation check
Coefficients of a transfer function model
Coefficients of a univariate model
Diagnostic checking
Graphs for ARMA models
Easter effect
Estimation of the ARIMA model
Estimation of a STS model
Estimation of a STS model by the method of moments
Identification plots
Intervention analysis/Outlier treatment
Intervention variables
Inverse of a lag polynomial
Lag polynomials
Log-likelihood of an ARIMA model
Modifying a TF or an ARIMA model
Unscramble I polynomial
Noise of a transfer function model
Outlier dates
Outliers detection at known/unknown dates
Output of a transfer function
Prewhitened cross correlation function
Unscramble AR polynomial
Pi weights of an AR(I)MA model
Forecasting with transfer function models
Forecasts from an ARIMA model
Print numeric vector as a lagpol object
Print a list of lagpol objects
Psi weights of an AR(I)MA model
Residuals of a transfer function model
Residuals of the ARIMA model
Reduce form for STS model
Roots of a lag polynomial
Roots of the lag polynomials of an ARIMA model
Annual sum
Seasonal dummies
Seasonal adjustment
setinputs
adds new inputs into a transfer function model.
Structural form for an ARIMA model
Signal component of a TF model
Time series simulation form an ARIMA or TF model
Trigonometric variables
Spectrum of an ARMA model
Standardize time series
Structural Time Series models
Sum of univariate (ARIMA) models
Summarizing Transfer Function models
Summary of um model
Transfer function for input
Transfer Function and ARIMA Models.
Preestimates of a transfer function
Transfer function models
Unscramble MA polynomial
Diagnostic Plots for Time-Series Fits Description
Diagnostic Plots for Time-Series Fits Description
Value of a time series at a date
Building customized transfer function and ARIMA models with multiple operators and parameter restrictions. Functions for model identification, model estimation (exact or conditional maximum likelihood), model diagnostic checking, automatic outlier detection, calendar effects, forecasting and seasonal adjustment. See Bell and Hillmer (1983) <doi:10.1080/01621459.1983.10478005>, Box, Jenkins, Reinsel and Ljung <ISBN:978-1-118-67502-1>, Box, Pierce and Newbold (1987) <doi:10.1080/01621459.1987.10478430>, Box and Tiao (1975) <doi:10.1080/01621459.1975.10480264>, Chen and Liu (1993) <doi:10.1080/01621459.1993.10594321>.