Description Usage Arguments Value Author(s) Examples

View source: R/DAMisc_functions.R

Calculates AIC and BIC for the selection of knots in a spline over values (potentially including polynomials) up to a user-defined maximum.

1 2 3 |

`form` |
A formula detailing the model for which smoothing is to be evaluated. |

`var` |
A character string identifying the variable for which smoothing is to be evaluated. |

`data` |
Data frame providing values of all variables in |

`degree` |
Degree of polynomial in B-spline basis functions. |

`min.knots` |
Minimum number of internal B-spline knots to be evaluated. |

`max.knots` |
Maximum number of internal B-spline knots to be evaluated. |

`includePoly` |
Include linear and polynomial models up to, and including |

`plot` |
Logical indicating whether a plot should be returned. |

`criterion` |
Statistical criterion to minimize in order to find the best number of knots - AIC, BIC or Cross-validation. |

`cvk` |
Number of groups for cross-validation |

A plot, if `plot=TRUE`

, otherwise a data frame with the degrees of freedom and corresponding fit measure.

Dave Armstrong (UW-Milwaukee, Department of Political Science)

1 2 |

```
Loading required package: car
Loading required package: effects
Loading required package: carData
Attaching package: 'carData'
The following objects are masked from 'package:car':
Guyer, UN, Vocab
lattice theme set by effectsTheme()
See ?effectsTheme for details.
Warning message:
system call failed: Cannot allocate memory
```

DAMisc documentation built on May 30, 2017, 8:12 a.m.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.