addOffset4ModelFrame

as.character.Surv

axisf

bj.fit2

coxphFit

des.args

[.rms

DesignAssign

rms.levels

formula.rms

gparms

is.na.Surv

is.Surv

lm.pfit

lrm.fit.strat

Math.Surv

ols.influence

Ops.Surv

print.summary.survreg2

set.atr

summary.Glmd

Summary.Surv

Surv

[.Surv

survfit.cph.null

survreg.auxinfo

survreg.fit2

val.probg

value.chk

Hazard.rms

Mean.rms

Quantile.rms

summary.Glm

Survival.rms

validate.rms

vcov.rms

oos.loglik.rms

makeSteps

internal

rms-internal

Regression modeling, testing, estimation, validation,
        graphics, prediction, and typesetting by storing enhanced model
        design attributes in the fit.  rms is a collection of about 180
        functions that assist and streamline modeling, especially for
        biostatistical and epidemiologic applications.  It also
        contains new functions for binary and ordinal logistic
        regression models 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 logistic
        regression, 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 E Harrell Jr

rms Package

rms-internal function

Internal rms functions

rms-internal: Internal rms functions

Description

Arguments

Details