Description Usage Arguments Details Value Author(s) References Examples

View source: R/Sources_MEtest.R

This function provides the test statistic and p-value of a homogeneity test of distributions when the observations are measured with error.

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`W` |
an |

`V` |
an |

`B` |
the number of bootstrap samples. Default is 1000. |

`wt` |
type of the weight function. Uniform and standard normal distributions are available. |

`wt.bd` |
lower and upper bound of the weight function.
If |

`wt.prob` |
probability used to compute lower and upper bound.
Will be ignored if |

`nGL` |
the number of nodes for Gaussian quadrature |

Based on our extensive simulations, we recommend to use `uniform`

weight function with 0.99 probability.

The output is an object of the class `htest`

like in `t.test`

.

`statistic` |
the value of the test statistic. |

`p.value` |
the p-value for the test. |

`method` |
the character string indicating the weight function. |

`alternative` |
a character string describing the alternative hypothesis. |

`boundary` |
lower and upper bound for the weight function. |

DongHyuk Lee, Samiran Sinha

Lee, D., Lahiri, S. N. and Sinha, S. A Test of Homegeneity of Distributions when Observations
are Subject to Measurement Errors. *Submitted*.

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