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eha (version 1.2-18)

weibreg.fit: 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?

Value

  • coefficientsEstimated regression coefficients plus estimated scale and shape coefficients, sorted by strata, if present.
  • var
  • loglikVector of length 2. The first component is the maximized loglihood with only scale and shape in the model, the second the final maximum.
  • scoreScore test statistic at initial values
  • linear.predictorsLinear predictors for each interval.
  • meansMeans of the covariates
  • converTRUE if convergence
  • failTRUE if failure
  • iterNumber of Newton-Raphson iterates.
  • n.strataThe number of strata in the data.

Details

See weibreg for more detail.

See Also

weibreg