Takes a fitted `frfast`

object produced by `frfast()`

and produces various useful summaries from it.

1 2 |

`object` |
a fitted |

`...` |
additional arguments affecting the predictions produced. |

`print.frfast`

tries to be smart about `summary.frfast`

.

`summary.frfast`

computes and returns a list of summary
information for a fitted `frfast`

object.

`model` |
type of model: nonparametric or allometric. |

`smooth` |
type of smoother: kernel or splines. |

`h` |
the kernel bandwidth smoothing parameter. |

`dp` |
degree of the polynomial. |

`nboot` |
number of bootstrap repeats. |

`kbin` |
number of binning nodes over which the function is to be estimated. |

`n` |
sample size. |

`fmod` |
factor's levels. |

`coef` |
if |

Marta Sestelo, Nora M. Villanueva and Javier Roca-Pardinas.

Sestelo, M. (2013). Development and computational implementation of estimation and inference methods in flexible regression models. Applications in Biology, Engineering and Environment. PhD Thesis, Department of Statistics and O.R. University of Vigo.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ```
library(npregfast)
data(barnacle)
# Nonparametric regression without interactions
fit <- frfast(DW ~ RC, data = barnacle, nboot = 100)
fit
summary(fit)
# Nonparametric regression with interactions
fit2 <- frfast(DW ~ RC : F, data = barnacle, nboot = 100)
fit2
summary(fit2)
# Allometric model
fit3 <- frfast(DW ~ RC, data = barnacle, model = "allo", nboot = 100)
fit3
summary(fit3)
``` |

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