print.cph

number of digits to right of decimal place to print

digits

set to e.g. .95 to print 0.95 confidence intervals on simple hazard
ratios (which are usually meaningless as one-unit changes are seldom
relevant and most models contain multiple terms per predictor)

conf.int

set to <code>FALSE</code> to suppress event frequency statistics

table

specify <code>coefs=FALSE</code> to suppress printing the table
 of model coefficients, standard errors, etc. Specify <code>coefs=n</code>
 to print only the first <code>n</code> regression coefficients in the
 model.

coefs

a character string title to be passed to <code>prModFit</code>

title

arguments passed to <code>prModFit</code>

&#8230;

Formatted printing of an object of class <code>cph</code>. Prints strata
frequencies, parameter estimates, standard errors, z-statistics, numbers
of missing values, etc.
Format of output is controlled by the user previously running
<code>options(prType="lang")</code> where <code>lang</code> is <code>"plain"</code> (the default),
<code>"latex"</code>, or <code>"html"</code>.

print

Regression modeling, testing, estimation, validation,
graphics, prediction, and typesetting by storing enhanced model design
attributes in the fit.  'rms' is a collection of functions that
assist with and streamline modeling.  It also contains functions for
binary and ordinal logistic regression models, ordinal models for
continuous Y with a variety of distribution families, and the Buckley-James
multiple regression model for right-censored responses, and implements
penalized maximum likelihood estimation for logistic and ordinary
linear models.  'rms' works with almost any regression model, but it
was especially written to work with binary or ordinal regression
models, Cox regression, accelerated failure time models,
ordinary linear models,	the Buckley-James model, generalized least
squares for serially or spatially correlated observations, generalized
linear models, and quantile regression.  Bayesian methods are implemented for binary and ordinal logistic regression with or without random effects.

print.cph: Print cph Results

Description

Usage

Arguments

See Also