plot.PostF

result of running a function created by <code>PostF</code>

other results created by such functions

cint

x-axis label if not the expression originally evaluated. When more than one result is plotted, <code>label</code> is a vector of character strings, one for each result.

label

when plotting more than one result specifies whether to make one plot distinguishing results by line type, or whether to make separate panels

type

used of <code>type='linetype'</code> to specify name of legend for the line types

ltitle

Plot Posterior Density of <code>PostF</code>

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.

plot.PostF: plot.PostF

Description

Usage

Arguments

Value

Details