weibreg.fit: Weibull regression

Description Usage Arguments Details Value Author(s) See Also

View source: R/weibreg.fit.R

Description

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

Usage

1
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


goranbrostrom/eha documentation built on March 19, 2018, 11:10 a.m.