Description Usage Arguments Details Value Author(s)

Tikhonov regularization.

1 | ```
tikhonov(b, A, lambda, penalty = 0)
``` |

`b` |
the b vector of the system: Ax = b. |

`A` |
the A matrix of the system: Ax = b. |

`lambda` |
grid of values for the penalty. |

`penalty` |
penalty either 0 = ridge, 1 = first order differences or 2 = second order differences. |

details follow.

regression coefficients, effective degrees of freedom, intermediate matrix for L-curvature calculation.

Maarten van Iterson

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