# censweib.reg: Censored Weibull regression model In Rfast2: A Collection of Efficient and Extremely Fast R Functions II

 Censored Weibull regression model R Documentation

## Censored Weibull regression model

### Description

Censored Weibull regression model.

### Usage

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

### Arguments

 `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.

### Details

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.

### Value

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.

### Author(s)

Michail Tsagris and Stefanos Fafalios.

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

### References

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

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

### Examples

``````## 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)
``````

Rfast2 documentation built on May 29, 2024, 8:45 a.m.