summary.cum.residuals

Computes p-values for extreme behaviour relative to the model of various
cumulative residual processes.

survival

Programs for Martinussen and Scheike (2006), `Dynamic Regression
Models for Survival Data', Springer Verlag.  Plus more recent developments.
Additive survival model, semiparametric proportional odds model, fast
cumulative residuals, excess risk models and more. Flexible competing risks
regression including GOF-tests. Two-stage frailty modelling. PLS for the
additive risk model. Lasso in the 'ahaz' package.

Thomas Scheike

timereg

Flexible Regression Models for Survival Data

summary.cum.residuals function

<dl><dt>object</dt>
<dd>output from the cum.residuals() function.</dd>
<dt>digits</dt>
<dd>number of digits in printouts.</dd>
<dt>...</dt>
<dd>unused arguments - for S3 compatibility</dd></dl>

Arguments

Author

Prints summary statistics for goodness-of-fit tests based on cumulative
residuals — summary.cum.residuals

<dl>

<dt>object</dt>
<dd>output from the cum.residuals() function.</dd>


<dt>digits</dt>
<dd>number of digits in printouts.</dd>


<dt>...</dt>
<dd>unused arguments - for S3 compatibility</dd>

</dl>

summary.cum.residuals: Prints summary statistics for goodness-of-fit tests based on cumulative residuals

Description

Usage

Arguments

Author

Examples