Description Usage Arguments Value Examples

This function is called internally by `lars.ineq`

to get the quadratic programming fit if the user requests
implementation of the algorithm starting at the smallest lambda
value and proceeding forwards.

1 | ```
quad.int.ineq(x, y, C.full, b, lambda, d = 10^-5)
``` |

`x` |
independent variable matrix of data to be used in calculating PaC coefficient paths |

`y` |
response vector of data to be used in calculating PaC coefficient paths |

`C.full` |
complete constraint matrix C (with inequality constraints of the form |

`b` |
constraint vector b |

`lambda` |
value of lambda |

`d` |
very small diagonal term to allow for SVD (default 10^-7) |

`beta`

the initial beta vector of coefficients to use for the PaC algorithm

1 2 3 4 | ```
random_data = generate.data(n = 500, p = 20, m = 10)
quad_start = quad.int.ineq(random_data$x, random_data$y,
random_data$C.full, random_data$b, lambda = 0.01)
quad_start
``` |

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.