Other packages > Find by keyword >

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 Aug. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited rmlnomogram R package
View rmlnomogram citation profile
Other R packages that rmlnomogram depends, imports, suggests or enhances
Complete documentation for rmlnomogram
Functions, R codes and Examples using the rmlnomogram R package
Full rmlnomogram package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA