plot.spEMN01

An object of class "spEMN01" as returned by spEMsymlocN01

Bandwidth for weighted kernel density estimation.

The known density of component 1, default to <code>dnorm</code>.

knownpdf

Set to TRUE to add to an existing plot.

add.plot

further arguments passed to <code>plot</code> if <code>add.plot = FALSE</code>,
 	and to <code>lines</code> if <code>add.plot = TRUE</code>.

Plot mixture density for the semiparametric mixture model output by spEMsymlocN01, with one component known and set to normal(0,1), and a symmetric nonparametric density with location parameter.

file

Analyzes finite mixture models for various parametric and semiparametric settings.  This includes mixtures of parametric distributions (normal, multivariate normal, multinomial, gamma), various Reliability Mixture Models (RMMs), mixtures-of-regressions settings (linear regression, logistic regression, Poisson regression, linear regression with changepoints, predictor-dependent mixing proportions, random effects regressions, hierarchical mixtures-of-experts), and tools for selecting the number of components (bootstrapping the likelihood ratio test statistic and model selection criteria).  Bayesian estimation of mixtures-of-linear-regressions models is available as well as a novel data depth method for obtaining credible bands.  This package is based upon work supported by the National Science Foundation under Grant No. SES-0518772.

Derek S. Young

mixtools

plot.spEMN01: Plot mixture pdf for the semiparametric mixture model output by spEMsymlocN01

Description

Usage

Arguments

Value

References

See Also