common-arguments function

Common arguments for several functions

Reference list of most common function arguments in this package.

Arguments

• y: a numeric vector of real values (the observed data).

• distname: character; name of input distribution; see get_distnames.

• type: type of Lambert W $\times$ F distribution: skewed "s"; heavy-tail "h"; or skewed heavy-tail "hh".

• theta: list; a (possibly incomplete) list of parameters alpha, beta, gamma, delta. complete_theta

  fills in default values for missing entries.

• beta: numeric vector (deprecated); parameter $\boldsymbol \beta$ of the input distribution. See check_beta on how to specify beta for each distribution.

• gamma: scalar (deprecated); skewness parameter; default: 0.

• delta: scalar or vector (length 2) (deprecated); heavy-tail parameter(s); default: 0.

• alpha: scalar or vector (length 2) (deprecated); heavy tail exponent(s); default: 1.

• tau: named vector $\tau$ which defines the variable transformation. Must have at least 'mu_x' and 'sigma_x' element; see complete_tau for details.

• return.u: logical; if TRUE, it returns the standardized input that corresponds to $U$, which is the zero-mean and/or unit-variance version of input $X \sim F_X$.

• use.mean.variance: logical; if TRUE it uses mean and variance implied by $\boldsymbol \beta$ to do the transformation (Goerg 2011). If FALSE, it uses the alternative definition from Goerg (2016) with location and scale parameter.