Description Usage Arguments Value Examples

`picor`

looks for a piecewise-constant function as a regression
function. The regression is necessarily univariate.
This is essentially a wrapper for `rpart`

(regression
tree) and `isoreg`

.

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`formula` |
formula of the model to be fitted. |

`data` |
optional data frame. |

`method` |
character. If |

`min_length` |
integer. The minimal distance between two consecutive knots. |

`...` |
Additional arguments to be passed to |

`object, x, Fn` |
An object of class |

`newdata` |
data.frame to be passed to the |

An object of class `"picor"`

, which is a list composed of the
following elements:

formula: the formula passed as an argument;

x: the numeric vector of predictors;

y: the numeric vector of responses;

knots: a numeric vector (possibly of length 0), the knots found;

values: a numeric vector (of length

`length(knots)+1`

), the constant values taken by the regression function between the knots.

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