eha (version 2.4-5)

aftreg.fit: Parametric proportional hazards regression

Description

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

Usage

aftreg.fit(X, Y, dist, param, strata, offset, init, shape,
id, control, pfixed)

Arguments

X

The design (covariate) matrix.

Y

A survival object, the response.

dist

Which baseline distribution?

param

Which parametrization?

strata

A stratum variable.

offset

Offset.

init

Initial regression parameter values.

shape

If positive, a fixed value of the shape parameter in the distribution. Otherwise, the shape is estimated.

id

See corresponding argument to aftreg.

control

Controls convergence and output.

pfixed

A logical indicating fixed shape parameter(s).

Value

coefficients

Estimated regression coefficients plus estimated scale and shape coefficients, sorted by strata, if present.

df

Degrees of freedom; No. of regression parameters.

var

Variance-covariance matrix

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.

conver

TRUE if convergence

fail

TRUE if failure

iter

Number of Newton-Raphson iterates.

n.strata

The number of strata in the data.

Details

See aftreg for more detail.

See Also

aftreg