I just need the packages and codes which can work in R to generate a nomogram and a risk score. which one is preferable to represent the prediction model???
A nomogram is a graphical tool for visualizing and doing computations based on a regression model. In R, you must utilize the rms package, which contains methods for fitting and visualizing several types of regression models. Here are a few steps you can take:
-Use library(rms) to load the rms package.
-Fit a regression model of your choice using rms functions like ols, lrm, cph, and so on. Check that the datadist object for your data has been defined with ddist - datadist(data) and options(datadist = "ddist").
-Create a partial nomogram for your model using the nomogram tool. To personalize the design and functionality of the nomogram, you can use arguments such as lp, fun, vnames, abbrev, and so on.
-To display the nomogram on a graphical device, use the plot function. You can also make use of the legend.If you used abbreviations, use the nomogram method to add a legend.
Here is some code to construct a nomogram for a logistic regression model that predicts death based on age, gender, and disease severity.
# Load rms package
library(rms)
# Generate some data
n
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