| Title: | Convert Regression Between Base Function and 'rms' Package |
| Version: | 1.0 |
| Description: | We perform linear, logistic, and cox regression using the base functions lm(), glm(), and coxph() in the R software and the 'survival' package. Likewise, we can use ols(), lrm() and cph() from the 'rms' package for the same functionality. Each of these two sets of commands has a different focus. In many cases, we need to use both sets of commands in the same situation, e.g. we need to filter the full subset model using AIC, and we need to build a visualization graph for the final model. 'base.rms' package can help you to switch between the two sets of commands easily. |
| License: | GPL-3 |
| Encoding: | UTF-8 |
| LazyData: | true |
| RoxygenNote: | 7.1.1 |
| Imports: | rms, survival, do, splines, stats |
| Suggests: | knitr, rmarkdown |
| VignetteBuilder: | knitr |
| NeedsCompilation: | no |
| Packaged: | 2020-07-27 13:36:47 UTC; asus |
| Author: | Jing Zhang [aut, cre], Zhi Jin [aut] |
| Maintainer: | Jing Zhang <zj391120@163.com> |
| Repository: | CRAN |
| Date/Publication: | 2020-08-01 11:10:08 UTC |
Convert results of cox regression from coxph() to cph()
Description
Convert results of cox regression from coxph() in 'survival' package to cph() in 'rms' package.
Usage
coxph2cph(fit)
Arguments
fit |
cox regression results of coxph() |
Value
results of coxph()
Examples
library(survival)
fit <- coxph(Surv(mpg,vs)~am+gear+carb,data=mtcars)
coxph2cph(fit)
Convert results of cox regression from cph() to coxph()
Description
Convert results of cox regression from cph() in 'rms' package to coxph() in 'stats' package.
Usage
cph2coxph(fit)
Arguments
fit |
cox regression results of cph() |
Value
results of coxph()
Examples
library(rms)
fit <- cph(formula = Surv(mpg, vs) ~ am + gear + carb, data = mtcars)
cph2coxph(fit)
Convert results of lm() to ols()
Description
Convert results of lm() from 'stats' package to ols() from 'rms' package.
Usage
lm2ols(fit)
Arguments
fit |
reults of lm() |
Value
results of ols()
Examples
fit <- lm(mpg ~ disp,data=mtcars)
lm2ols(fit)
Convert results of logistic regression from glm() to lrm()
Description
Convert results of logistic regression from glm() in 'stats' package to lrm() in 'rms' package.
Usage
logit2lrm(fit)
Arguments
fit |
logistic regression reults of glm() |
Value
results of lrm()
Examples
fit <- glm(vs~mpg+cyl,data=mtcars, family = binomial(link = 'logit'))
logit2lrm(fit)
Convert results of logistic regression from lrm() to glm()
Description
Convert results of logistic regression from lrm() in 'rms' package to glm() in 'stats' package.
Usage
lrm2logit(fit)
Arguments
fit |
logistic regression reults of lrm() |
Value
results of glm()
Examples
library(rms)
fit <- lrm(vs ~ mpg + cyl, data = mtcars)
lrm2logit(fit)
Convert results of ols() to lm()
Description
Convert results of ols() from 'rms' package to lm() from 'stats' package.
Usage
ols2lm(fit)
Arguments
fit |
reults of ols() |
Value
results of lm()
Examples
library(rms)
fit <- ols(mpg ~ disp^2,data=mtcars)
ols2lm(fit)