plotIntercepts

Plots the step function corresponding to the intercepts in a <code>orm</code> or <code>lrm</code> model. This can be thought
of as the link function of the covariate-adjusted empirical cumulative distribution function
(actually 1 - ECDF). It is
also related to q-q plots. For example, if a probit link function is an appropriate choice, and the
residuals actually had a normal distribution (not needed by the semiparametric ordinal model), the step
function of the intercepts would form a straight line.

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.

Frank Harrell Jr

Regression Modeling Strategies

plotIntercepts function

<dl><dt>fit</dt>
<dd>an <code>orm</code> or <code>lrm</code> fit object, usually with a numeric dependent variable having many levels</dd></dl>

Arguments

Author

Plot Intercepts — plotIntercepts

<dl>

<dt>fit</dt>
<dd>an <code>orm</code> or <code>lrm</code> fit object, usually with a numeric dependent variable having many levels</dd>

</dl>

plotIntercepts: Plot Intercepts

Description

Usage

Value

Arguments

Author

Examples