Functions to Fit Mixtures of Regressions


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Documentation for package ‘mixreg’ version 2.0-10

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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.