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rmlnomogram  

Construct Explainable Nomogram for a Machine Learning Model
View on CRAN: Click here


Download and install rmlnomogram package within the R console
Install from CRAN:
install.packages("rmlnomogram")

Install from Github:
library("remotes")
install_github("cran/rmlnomogram")

Install by package version:
library("remotes")
install_version("rmlnomogram", "0.1.2")



Attach the package and use:
library("rmlnomogram")
Maintained by
Herdiantri Sufriyana
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-01-08
Latest Update: 2025-01-08
Description:
Construct an explainable nomogram for a machine learning (ML) model to improve availability of an ML prediction model in addition to a computer application, particularly in a situation where a computer, a mobile phone, an internet connection, or the application accessibility are unreliable. This package enables a nomogram creation for any ML prediction models, which is conventionally limited to only a linear/logistic regression model. This nomogram may indicate the explainability value per feature, e.g., the Shapley additive explanation value, for each individual. However, this package only allows a nomogram creation for a model using categorical without or with single numerical predictors. Detailed methodologies and examples are documented in our vignette, available at <https://htmlpreview.github.io/?https://github.com/herdiantrisufriyana/rmlnomogram/blob/master/doc/ml_nomogram_exemplar.html>.
How to cite:
Herdiantri Sufriyana (2025). rmlnomogram: Construct Explainable Nomogram for a Machine Learning Model. R package version 0.1.2, https://cran.r-project.org/web/packages/rmlnomogram. Accessed 05 Jun. 2026.
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Functions, R codes and Examples using the rmlnomogram R package
Full rmlnomogram package functions and examples
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