bootBCa

estimate

estimates

type of confidence interval, defaulting to nonparametric
	percentile

type

<code>.Random.seem</code> in effect before bootstrap estimates
	were run

seed

conf.int

This functions constructs an object resembling one produced by the
<code>boot</code> package's <code>boot</code> function, and runs that package's
<code>boot.ci</code> function to compute BCa and percentile confidence limits.
<code>bootBCa</code> can provide separate confidence limits for a vector of
statistics when <code>estimate</code> has length greater than 1.  In that
case, <code>estimates</code> must have the same number of columns as
<code>estimate</code> has values.

bootstrap

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.

bootBCa: BCa Bootstrap on Existing Bootstrap Replicates

Description

Usage

Arguments

Value

See Also

Examples