aftreg.fit: Parametric proportional hazards regression

In eha: Event History Analysis

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).

Details

See aftreg for more detail.

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.

Author(s)

Göran Broström

See Also

aftreg

eha documentation built on Oct. 1, 2023, 1:07 a.m.