Man pages for SuperGauss
Superfast Likelihood Inference for Stationary Gaussian Time Series
| acf2incr | Convert position autocorrelations to increment... |
| acf2msd | Convert autocorrelation of stationary increments to mean... |
| Cholesky | Cholesky multiplication with Toeplitz variance matrices. |
| Circulant | Constructor and methods for Circulant matrix objects. |
| dnormtz | Density of a multivariate normal with Toeplitz variance... |
| fbm_msd | Mean square displacement of fractional Brownian motion. |
| matern_acf | Matern autocorrelation function. |
| msd2acf | Convert mean square displacement of positions to... |
| NormalCirculant | Multivariate normal with Circulant variance matrix. |
| NormalToeplitz | Multivariate normal with Toeplitz variance matrix. |
| pex_acf | Power-exponential autocorrelation function. |
| rnormtz | Simulate a stationary Gaussian time series. |
| SuperGauss-defunct | Defunct functions in 'SuperGauss'. |
| SuperGauss-package | Superfast inference for stationary Gaussian time series. |
| Toeplitz | Constructor and methods for Toeplitz matrix objects. |
| toep.mult | Toeplitz matrix multiplication. |
