mtransform: GEV Transformations
In evd: Functions for Extreme Value Distributions

mtransform

R Documentation

GEV Transformations

Description

Transforms to exponential margins under the GEV model.

Usage

mtransform(x, p, inv = FALSE, drp = FALSE)

Arguments

`x`	A matrix with n rows and d columns, or a vector. In the latter case, if `p` is a list with the same length as the vector, it is treated as a matrix with one row. If `p` is not a list, it is treated as a matrix with one column.
`p`	A vector of length three or a matrix with n rows and three columns. It can also be a list of length d, in which case each element must be a vector of length three or a matrix with n rows and three columns.
`inv`	Logical; use the inverse transformation?
`drp`	Logical; return a vector rather than a single row matrix?. Note that a single column matrix is always returned as a vector.

Details

Let x_i denote a vector of observations for i = 1,\ldots,n. This function implements the transformation

y_{i} = \{1+s_i(x_{i}-a_i)/b_i\}_{+}^{-1/s_i}

to each column of the matrix x.

The values (a_i,b_i,s_i) are contained in the ith row of the n by 3 matrix p. If p is a vector of length three, the parameters are the same for every i = 1,\ldots,n. Alternatively, p can be a list with d elements, in which case the jth element is used to transform the jth column of x.

This function is mainly for internal use. It is used by bivariate and multivariate routines to calculate marginal transformations.