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base.rms
View on CRAN: Click
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Download and install base.rms package within the R console
Install from CRAN:
install.packages("base.rms")
Install from Github:
library("remotes")
install_github("cran/base.rms")
Install by package version:
library("remotes")
install_version("base.rms", "1.0")
Attach the package and use:
library("base.rms")
Maintained by
Jing Zhang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-08-01
Latest Update: 2020-08-01
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.
How to cite:
Jing Zhang (2020). base.rms: Convert Regression Between Base Function and 'rms' Package. R package version 1.0, https://cran.r-project.org/web/packages/base.rms
Previous versions and publish date:
No previous versions
Other packages that cited base.rms R package
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Other R packages that base.rms depends,
imports, suggests or enhances
Functions, R codes and Examples using
the base.rms R package
Some associated functions: coxph2cph . cph2coxph . lm2ols . logit2lrm . lrm2logit . ols2lm .
Some associated R codes: coxph2cph.R . lm.ols.R . logit.lrm.R . trans.R . Full base.rms package functions and examples
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