eha (version 1.2-18)

phreg.fit: Parametric proportional hazards regression

Description

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

Usage

phreg.fit(X, Y, dist, strata, offset, init, shape, control, center = FALSE)

Arguments

X

The design (covariate) matrix.

Y

A survival object, the response.

dist

Which baseline distribution?

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.

control

Controls convergence and output.

center

Should results be presented wth covariates centered?

Value

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

Details

See phreg for more detail.

See Also

phreg