Computes the covariance of the components of a bivariate vector following the
bivariate modified logarithmic series distribution
Autocorrelation function of the double exponential trawl function
Plots the bivariate histogram of two time series together with the univariate
histograms using ggplot2
Simulates from the trivariate logarithmic series distribution
Plots the bivariate histogram of two time series together with the univariate
histograms
Fits a long memory trawl function to equidistant univariate time series data
Fits an exponential trawl function to equidistant time series data
Evaluates the double exponential trawl function
Evaluates the long memory trawl function
Evaluates the exponential trawl function
Fist a negative binomial distribution as marginal law
Autocorrelation function of the long memory trawl function
Autocorrelation function of the exponential trawl function
Finds the intersection of two trawl sets
Fits a supIG trawl function to equidistant univariate time series data
fit_trawl_intersection_LM
Finds the intersection of two long memory (LM) trawl sets
fit_trawl_intersection_Exp
Finds the intersection of two exponential trawl sets
Fits the trawl function consisting of the weighted sum of two exponential functions
Autocorrelation function of the supIG trawl function
Simulates a univariate trawl process
Simulates a bivariate trawl process
Fits a Poisson distribution as marginal law
Evaluates the supIG trawl function
Computes the correlation of the components of a bivariate vector following the
bivariate logarithmic series distribution
Simulates from the bivariate logarithmic series distribution
Computes the mean of the logarithmic series distribution
Computes the correlation of the components of a bivariate vector following the
bivariate modified logarithmic series distribution
Computes the mean of the modified logarithmic series distribution
Computes the covariance of the components of a bivariate vector following the
bivariate logarithmic series distribution
Computes the variance of the logarithmic series distribution
Simulates from the bivariate negative binomial distribution
Computes the variance of the modified logarithmic series distribution