Hosmer-Lemeshow Goodness of Fit (GOF) Test.

1 | ```
hoslem.test(x, y, g = 10)
``` |

`x` |
a numeric vector of observations, binary (0/1). |

`y` |
expected values. |

`g` |
number of bins to use to calculate quantiles. |

The Hosmer-Lemeshow test is a statistical test for goodness of fit for logistic regression models.

A list with class `"htest"`

containing the following components:

`statistic` |
the value of the chi-squared test statistic,
( |

`parameter` |
the degrees of freedom of the approximate
chi-squared distribution of the test statistic ( |

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

`method` |
a character string indicating the type of test performed. |

`data.name` |
a character string giving the name(s) of the data. |

`observed` |
the observed frequencies in a |

`expected` |
the expected frequencies in a |

Peter Solymos by adapting code pieces from R help mailing list

Hosmer D W, Lemeshow S 2000. Applied Logistic Regression. New York, USA: John Wiley and Sons.

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