Package: base.rms
Title: Convert Regression Between Base Function and 'rms' Package
Version: 1.0
Authors@R: 
    c(
    person("Jing","Zhang",role = c("aut", "cre"),email = "zj391120@163.com"),
    person("Zhi", "Jin", role="aut")
    )
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
Built: R 4.6.0; ; 2026-04-26 01:39:42 UTC; unix
