Density function, distribution function, quantile function, and random generation of variates for a specified cdf-quantile distribution.
cdfft(q, sigma, theta, fd, sd, mu = NULL, inner = TRUE, version)pdfft(y, sigma, theta, fd, sd, mu = NULL, inner = TRUE, version)
qqft(p, sigma, theta, fd, sd, mu = NULL, inner = TRUE, version)
rqft(n, sigma, theta, fd, sd, mu = NULL, inner = TRUE, version)
pdfft
gives the density, rqft
generates random variate, qqft
gives the quantile function, and cdfft
gives the cumulative density of specified distribution.
vector of quantiles.
vector of standard deviations.
vector of skewness.
A string that specifies the parent distribution. At the moment, only "arcsinh", "cauchit" and "t2" can be used. See details.
A string that specifies the child distribution. At the moment, only "arcsinh", "cauchy" and "t2" can be used. See details.
vector of means if 3-parameter case is used.
A logic value that indicates if the inner (inner = TRUE
) case or outer (inner = FALSE
) will be used.
A string indicates that which version will be used. "V" is the tilt parameter function while "W" indicates the Jones Pewsey transformation.
vector of quantiles.
vector of probabilities.
Number of random samples.