phreg.fit: Parametric proportional hazards regression
In eha: Event History Analysis

phreg.fit

R Documentation

Parametric proportional hazards regression

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

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

`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.

See phreg for more detail.

`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.

Göran Broström