Man pages for SuperGauss
Superfast Likelihood Inference for Stationary Gaussian Time Series

acf2incrConvert position autocorrelations to increment...
acf2msdConvert autocorrelation of stationary increments to mean...
CholeskyCholesky multiplication with Toeplitz variance matrices.
CirculantConstructor and methods for Circulant matrix objects.
dnormtzDensity of a multivariate normal with Toeplitz variance...
fbm_msdMean square displacement of fractional Brownian motion.
matern_acfMatern autocorrelation function.
msd2acfConvert mean square displacement of positions to...
NormalCirculantMultivariate normal with Circulant variance matrix.
NormalToeplitzMultivariate normal with Toeplitz variance matrix.
pex_acfPower-exponential autocorrelation function.
rnormtzSimulate a stationary Gaussian time series.
SuperGauss-defunctDefunct functions in 'SuperGauss'.
SuperGauss-packageSuperfast inference for stationary Gaussian time series.
ToeplitzConstructor and methods for Toeplitz matrix objects.
toep.multToeplitz matrix multiplication.
SuperGauss documentation built on March 18, 2022, 6:35 p.m.