% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/VarReg.R
\docType{package}
\name{VarReg}
\alias{VarReg}
\alias{VarReg-package}
\title{VarReg: Semi-parametric mean and variance regression}
\description{
Methods for fitting semi-parametric mean and variance models, with normal or censored data.
Also extended to allow a regression in the location, scale and shape parameters.
}
\details{
This package provides functions to fit semi-parametric mean and variance regression models. These models
are based upon EM-type algorithms, which can have more stable convergence properties than other
algorithms for additive variance regression models.

The primary function to use for linear and semi-parametric mean and variance models is \code{\link{semiVarReg}}.
This function also is able to fit models to censored outcome data. There is also a plot function for these
models called \code{\link{plotVarReg}}.
A search function has also been produced in order to assist users to find the optimal number of knots in
the model (\code{\link{searchVarReg}}).

The other functions that are of particular use are \code{\link{lssVarReg}} and its plot function
\code{\link{plotlssVarReg}}. This uses the skew-normal distribution and combines the EM algorithm with
a coordinate-ascent type algorithm in order to fit a regression model in the location, scale and shape,
 therefore extending the semi-parametric models to non-normal data.

  Multivariate models can be fit with \code{\link{semiVarReg.multi}} and \code{\link{lssVarReg.multi}}
}
\author{
Kristy Robledo \email{robledo.kristy@gmail.com}
}