tutorial

package preparation

library(rms)
library(base.rms)
library(survival)

1. transform between linear regressions

base to rms

fit <- lm(mpg~cyl+vs,data=mtcars)
lm2ols(fit)

rms to base

fit <- ols(mpg~cyl+vs,data=mtcars)
ols2lm(fit)

2. transform between logistic regressions

base to rms

fit <- glm(vs~mpg,data=mtcars,family = binomial(link='logit'))
logit2lrm(fit)

rms to base

fit <- lrm(vs~mpg,data=mtcars)
lrm2logit(fit)

3. transform between cox regressions

base to rms

fit <- coxph(Surv(mpg,vs)~am+gear,data=mtcars)
coxph2cph(fit)

rms to base

fit <- cph(Surv(mpg,vs)~am+gear,data=mtcars)
cph2coxph(fit)


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base.rms documentation built on Aug. 1, 2020, 5:06 p.m.