lambda

An nxk matrix of posterior probabilities obtained from the EM
    algorithm.

A vector of values for which the local estimation is calculated.

An nx(p-1) matrix of the predictor values.

The bandwidth controlling the size of the window used for the
  local estimation.

The type of kernel to be used for the local estimation.

kernel

A shape parameter required for the symmetric beta kernel.  The default
  is <code>g</code> = 0 which yields the uniform kernel.  Some common values are <code>g</code> = 1 for the
  Epanechnikov kernel, <code>g</code> = 2 for the biweight kernel, and <code>g</code> = 3 for the triweight kernel.


  Return local estimates of the mixing proportions from each component
  of a mixture of regressions model using output from an EM algorithm.   


internal

A collection of R functions for analyzing finite mixture models.  This package is based upon work supported by the National Science Foundation under Grant No. SES-0518772.

lambda: Local Estimation for Lambda in Mixtures of Regressions

Description

Usage

Arguments

Value

See Also