rpart.plot: Plot 'rpart' Models: An Enhanced Version of 'plot.rpart'

Canonical link: https://scholar.rpkg.net/pkg/rpart.plot

Stephen Milborrow • View description and downloads View dependencies GitHub project

2011 Published

3.1.2 Version

0 Citations

1 Authors

Referenced by ⇅	Year
babsim.hospital: Bartz & Bartz Simulation Hospital (Version 11.8.8)	2020
feamiR: Classification and Feature Selection for microRNA/mRNA Interactions (Version 0.1.0)	2021
SPOTMisc: Misc Extensions for the "SPOT" Package (Version 1.19.52)	2021
treemisc: Data Sets and Functions to Accompany "Tree-Based Methods for Statistical Learning in R" (Version 0.0.1)	2022
CORElearn: Classification, Regression and Feature Evaluation (Version 1.57.3)	2009
CTShiny: Interactive Document for Working with Classification Tree Analysis (Version 0.1.0)	2019
CTShiny2: Interactive Document for Working with Classification Tree Analysis (Version 0.1.0)	2020
DIscBIO: A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics (Version 1.2.2)	2020
HMP: Hypothesis Testing and Power Calculations for Comparing Metagenomic Samples from HMP (Version 2.0.1)	2011
LOGANTree: Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments (Version 0.1.1)	2022
LTRCtrees: Survival Trees to Fit Left-Truncated and Right-Censored and Interval-Censored Survival Data (Version 1.1.1)	2016
LocalControl: Nonparametric Methods for Generating High Quality Comparative Effectiveness Evidence (Version 1.1.3)	2017
ModTools: Tools for Building Regression and Classification Models (Version 0.9.6)	2021
MplusTrees: Decision Trees with Structural Equation Models Fit in 'Mplus' (Version 0.2.2)	2019
aVirtualTwins: Adaptation of Virtual Twins Method from Jared Foster (Version 1.0.1)	2016
aggTrees: Aggregation Trees (Version 2.0.2)	2023
bcf: Causal Inference using Bayesian Causal Forests (Version 2.0.2)	2018
candisc: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis (Version 0.8-6)	2008
citrus: Customer Intelligence Tool for Rapid Understandable Segmentation (Version 1.0.2)	2021
classmap: Visualizing Classification Results (Version 1.2.3)	2021
explore: Simplifies Exploratory Data Analysis (Version 1.3.0)	2019
fdm2id: Data Mining and R Programming for Beginners (Version 0.9.9)	2019
featurefinder: Feature Finder (Version 1.1)	2018
flashlight: Shed Light on Black Box Machine Learning Models (Version 0.9.0)	2019
htetree: Causal Inference with Tree-Based Machine Learning Algorithms (Version 0.1.18)	2023
ibmdbR: IBM in-Database Analytics for R (Version 1.51.0)	2014
lares: Analytics & Machine Learning Sidekick (Version 5.2.5)	2021
longRPart2: Recursive Partitioning of Longitudinal Data (Version 0.2.3)	2017
memoria: Quantifying Ecological Memory in Palaeoecological Datasets and Other Long Time-Series (Version 1.0.0)	2019
naniar: Data Structures, Summaries, and Visualisations for Missing Data (Version 1.1.0)	2017
plotmo: Plot a Model's Residuals, Response, and Partial Dependence Plots (Version 3.6.3)	2011
predictoR: Predictive Data Analysis System (Version 3.0.3)	2019
qeML: Quick and Easy Machine Learning Tools (Version 1.1)	2023
rattle: Graphical User Interface for Data Science in R (Version 5.5.1)	2013
regclass: Tools for an Introductory Class in Regression and Modeling (Version 1.6)	2016
regressoR: Regression Data Analysis System (Version 3.0.2)	2019
semtree: Recursive Partitioning for Structural Equation Models (Version 0.9.20)	2016
statVisual: Statistical Visualization Tools (Version 1.2.1)	2019
tidyrules: Obtain Rules from Rule Based Models as Tidy Dataframe (Version 0.1.5)	2019
xgrove: Explanation Groves (Version 0.1-7)	2023
yorkr: Analyze Cricket Performances Based on Data from Cricsheet (Version 0.0.42)	2016

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.