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SAS/IML User's Guide |

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**T**

- T function
- transposing a matrix

- TABPRT call

- TEIGEN call
- computing eigenvalues and eigenvectors

- TEIGVAL functions
- computing eigenvalues

- TEIGVEC functions
- computing eigenvectors

- time series analysis and control
- AR model selection "Getting Started"
- AR model selection "Getting Started"
- AR model selection "TSUNIMAR Call"
- ARMA model prediction "Getting Started"
- ARMA model prediction "Getting Started"
- ARMA model prediction "TSPRED Call"
- Bayesian constrained least squares "Computational Details"
- Bayesian constrained least squares "Computational Details"
- Bayesian constrained least squares "Computational Details"
- Bayesian seasonal adjustment "Bayesian Seasonal Adjustment"
- Bayesian seasonal adjustment "Bayesian Seasonal Adjustment"
- Bayesian seasonal adjustment "Bayesian Seasonal Adjustment"
- Bayesian seasonal adjustment "Getting Started"
- Bayesian seasonal adjustment "Getting Started"
- Bayesian seasonal adjustment "Getting Started"
- Bayesian seasonal adjustment "TSBAYSEA Call"
- Bayesian seasonal adjustment "TSBAYSEA Call"
- instantaneous response model "Example 10.1: VAR Estimation and Variance Decomposition"
- instantaneous response model "Example 10.1: VAR Estimation and Variance Decomposition"
- instantaneous response model "Example 10.1: VAR Estimation and Variance Decomposition"
- instantaneous response model "Getting Started"
- instantaneous response model "Getting Started"
- ISM TIMSAC packages "ISM TIMSAC Packages"
- ISM TIMSAC packages "ISM TIMSAC Packages"
- ISM TIMSAC packages "ISM TIMSAC Packages"
- ISM TIMSAC packages "ISM TIMSAC Packages"
- ISM TIMSAC packages "ISM TIMSAC Packages"
- least squares and Householder transformation "Computational Details"
- least squares and Householder transformation "Computational Details"
- locally stationary multivariate time series "TSMLOMAR Call"
- locally stationary multivariate time series "TSMLOMAR Call"
- locally stationary time series "TSMLOCAR Call"
- locally stationary time series "TSMLOCAR Call"
- minimum AIC method "Getting Started"
- minimum AIC method "Getting Started"
- minimum AIC method "Getting Started"
- minimum AIC method "Getting Started"
- minimum AIC method "Getting Started"
- minimum AIC method "Getting Started"
- minimum AIC method "Minimum AIC Procedure"
- minimum AIC method "Minimum AIC Procedure"
- minimum AIC method "Minimum AIC Procedure"
- missing values
- multivariate time series "Getting Started"
- multivariate time series "Getting Started"
- multivariate time series "Multivariate Time Series Analysis"
- multivariate time series "Multivariate Time Series Analysis"
- multivariate time series "Multivariate Time Series Analysis"
- multivariate time series "TSPRED Call"
- nonstationary covariance function analysis
- nonstationary data analysis "Getting Started"
- nonstationary data analysis "Getting Started"
- nonstationary data analysis "Getting Started"
- nonstationary data analysis "Getting Started"
- nonstationary data analysis "Getting Started"
- nonstationary data analysis "Getting Started"
- nonstationary data analysis "Getting Started"
- nonstationary data analysis "Getting Started"
- nonstationary data analysis "Getting Started"
- nonstationary data analysis "Getting Started"
- nonstationary data analysis "Getting Started"
- nonstationary time series "Nonstationary Time Series"
- nonstationary time series "Nonstationary Time Series"
- nonstationary time series "Nonstationary Time Series"
- nonstationary time series "Nonstationary Time Series"
- nonstationary time series "TSDECOMP Call"
- nonstationary time series "TSDECOMP Call"
- nonstationary time series "TSDECOMP Call"
- nonstationary time series "TSDECOMP Call"
- overview
- periodic AR model "TSPEARS Call"
- periodic AR model "TSPEARS Call"
- roots of AR and MA equations "Getting Started"
- roots of AR and MA equations "Getting Started"
- roots of AR and MA equations "TSROOT Call"
- smoothness priors modeling "Smoothness Priors Modeling"
- smoothness priors modeling "Smoothness Priors Modeling"
- smoothness priors modeling "TSDECOMP Call"
- smoothness priors modeling "TSDECOMP Call"
- smoothness priors modeling "TSDECOMP Call"
- smoothness priors modeling "TSDECOMP Call"
- spectral analysis "Spectral Analysis"
- spectral analysis "Spectral Analysis"
- spectral analysis "Spectral Analysis"
- spectral analysis "Spectral Analysis"
- state space and Kalman filter method "Computational Details"
- state space and Kalman filter method "Computational Details"
- state space and Kalman filter method "Computational Details"
- VAR model "Example 10.1: VAR Estimation and Variance Decomposition"
- VAR model "Example 10.1: VAR Estimation and Variance Decomposition"
- VAR model "Example 10.1: VAR Estimation and Variance Decomposition"
- VAR model "Getting Started"
- VAR model "Getting Started"
- VAR model "Getting Started"
- VAR model "TSMULMAR Call"
- VAR model "TSMULMAR Call"

- Time Series Functionality

- TIMSAC subroutines
- advanced examples
- details
- introductory examples
- overview
- syntax
- TSBAYSEA subroutine "Getting Started"
- TSBAYSEA subroutine "Getting Started"
- TSBAYSEA subroutine "Getting Started"
- TSBAYSEA subroutine "TSBAYSEA Call"
- TSBAYSEA subroutine "TSBAYSEA Call"
- TSBAYSEA subroutine "TSBAYSEA Call"
- TSDECOMP subroutine "Getting Started"
- TSDECOMP subroutine "TSDECOMP Call"
- TSDECOMP subroutine "TSDECOMP Call"
- TSDECOMP subroutine "TSDECOMP Call"
- TSDECOMP subroutine "TSDECOMP Call"
- TSMLOCAR subroutine "Getting Started"
- TSMLOCAR subroutine "TSMLOCAR Call"
- TSMLOCAR subroutine "TSMLOCAR Call"
- TSMLOMAR subroutine "Getting Started"
- TSMLOMAR subroutine "TSMLOMAR Call"
- TSMLOMAR subroutine "TSMLOMAR Call"
- TSMULMAR subroutine "Example 10.1: VAR Estimation and Variance Decomposition"
- TSMULMAR subroutine "Example 10.1: VAR Estimation and Variance Decomposition"
- TSMULMAR subroutine "Example 10.1: VAR Estimation and Variance Decomposition"
- TSMULMAR subroutine "Example 10.1: VAR Estimation and Variance Decomposition"
- TSMULMAR subroutine "Getting Started"
- TSMULMAR subroutine "Getting Started"
- TSMULMAR subroutine "Getting Started"
- TSMULMAR subroutine "TSMULMAR Call"
- TSMULMAR subroutine "TSMULMAR Call"
- TSPEARS subroutine "TSPEARS Call"
- TSPEARS subroutine "TSPEARS Call"
- TSPRED subroutine "Example 10.1: VAR Estimation and Variance Decomposition"
- TSPRED subroutine "Getting Started"
- TSPRED subroutine "Getting Started"
- TSPRED subroutine "TSPRED Call"
- TSROOT subroutine "Getting Started"
- TSROOT subroutine "Getting Started"
- TSROOT subroutine "TSROOT Call"
- TSTVCAR subroutine
- TSUNIMAR subroutine

- TOEPLITZ function
- generating a Toeplitz matrix

- TPSPLINE call
- computing thin-plate smoothing splines

- TPSPLNEV call
- evaluating thin-plate smoothing splines

- TRACE function
- summing diagonal elements

- triangular linear systems

- TRISOLV function

- TYPE function
- determining matrix types

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