GetProj: Project to the log image space
In yqgchen/WR: Wasserstein regression for distributional data

GetProj

R Documentation

Project to the log image space

Obtain projections of fitted/predicted log mapped distributions to the log image space if they are not in the space.

GetProj(LogYhat, LogSup, optns = list())

`LogYhat`	A `p`-by-`n` matrix holding `n` fitted/predicted log mapped distributions evaluated on a common grid given by `LogSup` of length `p`.
`LogSup`	A vector of length `p` holding the common support grid.
`optns`	A list of control parameters specified by `list(name=value)`. See `WR` for details.

A list of the following elements:

`Yhat`	A `p`-by`n` matrix holding the quantile functions of fitted/predicted distributions.
`outOfLogSpace`	A logical vector holding whether fitted log mapped distributions lie out of the log image space (`TRUE`) or not (`FALSE`).