LinSDE2SSM              Convert Parameters from the Linear Stochastic
                        Differential Equation Model to State Space
                        Model Parameterization
LinSDECovEta            Steady-State Covariance Matrix for the Latent
                        Variables in the Linear Stochastic Differential
                        Equation Model
LinSDECovY              Steady-State Covariance Matrix for the Observed
                        Variables in the Linear Stochastic Differential
                        Equation Model
LinSDEMeanEta           Steady-State Mean Vector for the Latent
                        Variables in the Linear Stochastic Differential
                        Equation Model
LinSDEMeanY             Steady-State Mean Vector for the Observed
                        Variables in the Linear Stochastic Differential
                        Equation Model
ProjectToHurwitz        Project Matrix to Hurwitz Stability
ProjectToStability      Project Matrix to Stability
SSMCovEta               Steady-State Covariance Matrix for the Latent
                        Variables in the State Space Model
SSMCovY                 Steady-State Covariance Matrix for the Observed
                        Variables in the State Space Model
SSMMeanEta              Steady-State Mean Vector for the Latent
                        Variables in the State Space Model
SSMMeanY                Steady-State Mean Vector for the Observed
                        Variables in the State Space Model
SimAlphaN               Simulate Intercept Vectors in a Discrete-Time
                        Vector Autoregressive Model from the
                        Multivariate Normal Distribution
SimBetaN                Simulate Transition Matrices from the
                        Multivariate Normal Distribution
SimBetaN2               Simulate Transition Matrices from the
                        Multivariate Normal Distribution and Project to
                        Stability
SimCovDiagN             Simulate Diagonal Covariance Matrices from the
                        Multivariate Normal Distribution
SimCovN                 Simulate Covariance Matrices from the
                        Multivariate Normal Distribution
SimIotaN                Simulate Intercept Vectors in a Continuous-Time
                        Vector Autoregressive Model from the
                        Multivariate Normal Distribution
SimNuN                  Simulate Intercept Vectors in a Discrete-Time
                        Vector Autoregressive Model from the
                        Multivariate Normal Distribution
SimPhiN                 Simulate Random Drift Matrices from the
                        Multivariate Normal Distribution
SimPhiN2                Simulate Random Drift Matrices from the
                        Multivariate Normal Distribution and Project to
                        Hurwitz
SimSSMFixed             Simulate Data from a State Space Model (Fixed
                        Parameters)
SimSSMIVary             Simulate Data from a State Space Model
                        (Individual-Varying Parameters)
SimSSMLinGrowth         Simulate Data from the Linear Growth Curve
                        Model
SimSSMLinGrowthIVary    Simulate Data from the Linear Growth Curve
                        Model (Individual-Varying Parameters)
SimSSMLinSDEFixed       Simulate Data from the Linear Stochastic
                        Differential Equation Model using a State Space
                        Model Parameterization (Fixed Parameters)
SimSSMLinSDEIVary       Simulate Data from the Linear Stochastic
                        Differential Equation Model using a State Space
                        Model Parameterization (Individual-Varying
                        Parameters)
SimSSMOUFixed           Simulate Data from the Ornstein–Uhlenbeck Model
                        using a State Space Model Parameterization
                        (Fixed Parameters)
SimSSMOUIVary           Simulate Data from the Ornstein–Uhlenbeck Model
                        using a State Space Model Parameterization
                        (Individual-Varying Parameters)
SimSSMVARFixed          Simulate Data from the Vector Autoregressive
                        Model (Fixed Parameters)
SimSSMVARIVary          Simulate Data from the Vector Autoregressive
                        Model (Individual-Varying Parameters)
SpectralAbscissa        Spectral Abscissa
SpectralRadius          Spectral Radius
TestPhi                 Test the Drift Matrix
TestPhiHurwitz          Test Hurwitz Stability of a Drift Matrix
TestStability           Test Stability
TestStationarity        Test Stationarity
as.data.frame.simstatespace
                        Coerce an Object of Class 'simstatespace' to a
                        Data Frame
as.matrix.simstatespace
                        Coerce an Object of Class 'simstatespace' to a
                        Matrix
plot.simstatespace      Plot Method for an Object of Class
                        'simstatespace'
print.simstatespace     Print Method for an Object of Class
                        'simstatespace'
