KFAS-package |
KFAS: Functions for Gaussian and Non-Gaussian State Space Models |
+.SSModel |
Combine State Space Model Objects of class 'SSModel' |
approxSSM |
Linear Gaussian Approximation for Non-Gaussian State Space Model |
arimaSSM |
Create a State Space Representation of ARIMA Model |
boat |
Oxford-Cambridge boat race results 1829-2000 |
fitSSM |
Maximum Likelihood Estimation of a State Space Model |
GlobalTemp |
Two series of average global temperature deviations for years 1880-1987 |
importanceSSM |
Importance Sampling of Non-Gaussian State Space Model |
KFAS |
KFAS: Functions for Gaussian and Non-Gaussian State Space Models |
KFS |
Kalman Filter and Smoother with Exact Diffuse Initialization for Exponential Family State Space Models |
ldl |
LDL Decomposition of a Matrix |
logLik |
Log-likelihood of the State Space Model. |
logLik.SSModel |
Log-likelihood of the State Space Model. |
plot.approxSSM |
Plot Approximating Gaussian State Space Model |
plot.KFS |
Plot Ouput of Kalman Filter and Smoother |
predict |
Estimate the Missing Observations of a State Space Model |
predict.KFS |
Estimate the Missing Observations of a State Space Model |
print.KFS |
Print Ouput of Kalman Filter and Smoother |
print.SSModel |
Print SSModel Object |
regSSM |
Create a State Space Model Representation of Linear Regression Model |
residuals.KFS |
Extract Standardized Residuals of Kalman Filter and Smoother output |
signal |
Extract the filtered or smoothed signal of a State Space Model |
simulateSSM |
Simulation of a Gaussian State Space Model |
SSModel |
Create a State Space Model Object of class 'SSModel' |
structSSM |
Create a Structural Time Series State Space Model |
transformSSM |
Transform the SSModel object with multivariate observations |