df2lambda {fda} | R Documentation |

## Convert Degrees of Freedom to Smoothing Parameter

### Description

The degree of roughness of an estimated function is controlled by a smoothing parameter lambda that directly multiplies the penalty. However, it can be difficult to interpret or choose this value, and it is often easier to determine the roughness by choosing a value that is equivalent of the degrees of freedom used by the smoothing procedure. This function converts a degrees of freedom value into a multipler lambda.

### Usage

df2lambda(argvals, basisobj, wtvec=rep(1, n), Lfd=0, df=nbasis)

### Arguments

`argvals ` |
Argument values associated with the values to be smoothed. |

`basisobj` |
A basis object. |

`wtvec` |
A vector of weights for the data to be smoothed. |

`Lfd` |
Either a nonnegative integer or a linear differential operator object. |

`df` |
The degrees of freedom to be converted. |

### Details

The conversion requires a one-dimensional optimization and may be therefore computationally intensive.

### Value

The equivalent smoothing parameter value.

### Note

### Author(s)

### References

### See Also

### Examples

[Package

*fda* version 1.0

Index]