# Functions to Fit Mixtures of Regressions

## Documentation for package ‘mixreg’ version 2.0-10

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

aphids | Data on the rate of infection of tobacco plants by a virus spread by aphids.
cband | Calculate confidence and prediction bands for mixtures of one-variable regressions.
covMix | Calculate the covariance matrix of the parameter estimates for a mixture of regressions.
covMixMC | Calculate the covariance matrix of the parameter estimates for a mixture of regressions.
kilnAfull | The 'kilns' data sets.
kilnAoneOut | The 'kilns' data sets.
kilnAsubset | The 'kilns' data sets.
kilnB | The 'kilns' data sets.
kilns | The 'kilns' data sets.
mixreg | Fit a mixture of linear regressions.
mixreg.default | Fit a mixture of linear regressions.
mixreg.formula | Fit a mixture of linear regressions.
ncMcTest | Perform a Monte Carlo test for the number of components in a mixture of regressions.
plot.cband | Plot confidence bands for a mixture of regressions.
plot.cint | Plot confidence intervals for a Gaussian scalar mixture model.
plot.mixreg | Plot a fitted mixture of regressions.
plot.mixresid | Plot residuals for a fitted mixture of linear regressions.
qqMix | Draw a normal quantile-quantile plot of the residuals from a fitted mixture of linear regressions.
residuals.mixreg | Calculate the residuals of a mixture of linear regressions.
rmixreg | Simulate data from a mixture of regressions model.
rmixreg.default | Simulate data from a mixture of regressions model.
rmixreg.mixreg | Simulate data from a mixture of regressions model.
stepPlot | Plot the steps of the fit of a mixture of regressions model.
visualFit | Fit a mixture of regressions model by "visual" means.