weibreg.fit {eha}R Documentation

Weibull regression

Description

This function is called by weibreg, but it can also be directly called by a user.

Usage

weibreg.fit(X, Y, strata, offset, init, shape, control, center = TRUE)

Arguments

X The design (covariate) matrix.
Y A survival object, the response.
strata A stratum variable.
offset Offset.
init Initial regression parameter values.
shape If positive, a fixed value of the shape parameter in the Weibull distribution. Otherwise, the shape is estimated.
control Controls convergence and output.
center Should covariates be centered?

Details

See weibreg for more detail.

Value

coefficients Estimated regression coefficients plus estimated scale and shape coefficients, sorted by strata, if present.
var
loglik Vector of length 2. The first component is the maximized loglihood with only scale and shape in the model, the second the final maximum.
score Score test statistic at initial values
linear.predictors Linear predictors for each interval.
means Means of the covariates
conver TRUE if convergence
fail TRUE if failure
iter Number of Newton-Raphson iterates.
n.strata The number of strata in the data.

Author(s)

Göran Broström

See Also

weibreg


[Package eha version 1.2-4 Index]