Description Usage Arguments Value Author(s)

`gradF()`

derives the first derivatives of the log likelihood function of the log-binomial model.

1 | ```
gradF(theta, y, x)
``` |

`theta` |
A numeric vector containing the initial values of the model parameters. |

`y` |
A numeric vector containing the dependent variable of the model. |

`x` |
The model matrix. |

A numeric vector containing the first derivatives of the log likelihood function of the log-binomial model.

Adam Bekhit, Jakob Schöpe

BSW documentation built on March 22, 2021, 5:07 p.m.

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