Censored Weibull regression model | R Documentation |

Censored Weibull regression model.

```
censweib.reg(y, x, di, tol = 1e-07, maxiters = 100)
```

`y` |
The dependent variable; a numerical vector with strictly positive data, i.e. greater than zero. |

`x` |
A matrix with the data, where the rows denote the samples (and the two groups) and the columns are the variables. This can be a matrix or a data.frame (with factors). |

`di` |
A vector with 1s and 0s indicating the censored value. The value of 1 means uncesored value, whereas the value of 0 means censored value. |

`tol` |
The tolerance value to terminate the Newton-Raphson algorithm. |

`maxiters` |
The max number of iterations that can take place in each regression. |

The function is written in C++ and this is why it is very fast. No standard errors are returned as they are not corectly estimated. We focused on speed.

When full is FALSE a list including:

`iters` |
The iterations required by the Newton-Raphson. |

`loglik` |
The log-likelihood of the model. |

`shape` |
The shape parameter of the Weibull regression. |

`be` |
The regression coefficients. |

Michail Tsagris and Stefanos Fafalios.

R implementation and documentation: Michail Tsagris mtsagris@uoc.gr and Stefanos Fafalios stefanosfafalios@gmail.com.

McCullagh, Peter, and John A. Nelder. Generalized linear models. CRC press, USA, 2nd edition, 1989.

```
censweibull.mle, km, gumbel.reg
```

```
## Not run:
x <- matrix(rnorm(100 * 2), ncol = 2)
y <- rexp(100, 1)
di <- rbinom(100, 1, 0.8)
mod <- censweib.reg(y, x, di)
x <- NULL
## End(Not run)
```

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