model.frame.flexsurvreg

model.matrix.flexsurvreg

A fitted model object, as returned by
    <code><a rd-options="" href="/link/flexsurvreg?package=flexsurv&version=1.0.0" data-mini-rdoc="flexsurv::flexsurvreg">flexsurvreg</a></code>.

formula

object

String naming the parameter whose linear model matrix is
    desired.<p></p><p>    The default value of <code>par=NULL</code> returns a matrix consisting of
    the model matrices for all models in the object <code>cbind</code>ed
    together, with the intercepts excluded.  This is not really a
    ``model matrix'' in the usual sense, however, the columns directly
    correspond to the covariate coefficients in the matrix of estimates
    from the fitted model.</p>


Extract the data from a model fitted with <code>flexsurvreg</code>.


models

Flexible parametric models for time-to-event data, including the Royston-Parmar spline model, generalized gamma and generalized F distributions.   Any user-defined parametric distribution can be fitted, given at least an R function defining the probability density or hazard.  There are also tools for fitting and predicting from fully parametric multi-state models.

model.frame.flexsurvreg: Extract original data from `flexsurvreg` objects.

Description

Usage

Arguments

Value

See Also