earth: Multivariate Adaptive Regression Splines

Canonical link: https://rscholar.com/pkg/earth

Rob Tibshirani. Uses Alan Miller's Fortran utilities • with Thomas Lumley's leaps wrapper. • View description and downloads View dependencies GitHub project

2007 Published

5.3.4 Version

0 Citations

2 Authors

Referenced by ⇅	Year
sknifedatar: Swiss Knife of Data (Version 0.1.2)	2021
LDLcalc: Calculate and Predict the Low Density Lipoprotein Values (Version 2.1)	2021
BiodiversityR: Package for Community Ecology and Suitability Analysis (Version 2.16-1)	2007
CEEMDANML: CEEMDAN Decomposition Based Hybrid Machine Learning Models (Version 0.1.0)	2023
CausalGPS: Matching on Generalized Propensity Scores with Continuous Exposures (Version 0.5.0)	2021
IRon: Solving Imbalanced Regression Tasks (Version 0.1.4)	2022
MARSANNhybrid: MARS Based ANN Hybrid Model (Version 0.1.0)	2021
MARSGWR: A Hybrid Spatial Model for Capturing Spatially Varying Relationships Between Variables in the Data (Version 0.1.0)	2023
MARSSVRhybrid: MARS SVR Hybrid (Version 0.1.0)	2021
MachineShop: Machine Learning Models and Tools (Version 3.8.0)	2018
SSDM: Stacked Species Distribution Modelling (Version 0.2.9)	2016
SuperLearner: Super Learner Prediction (Version 2.0-29)	2011
WaveletML: Wavelet Decomposition Based Hybrid Machine Learning Models (Version 0.1.0)	2023
baguette: Efficient Model Functions for Bagging (Version 1.0.2)	2020
binst: Data Preprocessing, Binning for Classification and Regression (Version 0.2.1)	2016
biomod2: Ensemble Platform for Species Distribution Modeling (Version 4.2-5-2)	2012
bujar: Buckley-James Regression for Survival Data with High-Dimensional Covariates (Version 0.2-11)	2014
butcher: Model Butcher (Version 0.3.4)	2019
caretEnsemble: Ensembles of Caret Models (Version 4.0.1)	2015
caret: Classification and Regression Training (Version 6.0-94)	2007
cmaRs: Implementation of the Conic Multivariate Adaptive Regression Splines in R (Version 0.1.3)	2021
discrim: Model Wrappers for Discriminant Analysis (Version 1.0.1)	2019
easyalluvial: Generate Alluvial Plots with a Single Line of Code (Version 0.3.2)	2018
eclust: Environment Based Clustering for Interpretable Predictive Models in High Dimensional Data (Version 0.1.0)	2017
ecm: Build Error Correction Models (Version 7.2.0)	2016
fastshap: Fast Approximate Shapley Values (Version 0.1.1)	2019
finnts: Microsoft Finance Time Series Forecasting Framework (Version 0.5.0)	2022
flowml: A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data (Version 0.1.3)	2023
fscaret: Automated Feature Selection from 'caret' (Version 0.9.4.4)	2013
gbts: Hyperparameter Search for Gradient Boosted Trees (Version 1.2.0)	2016
healthyR.ts: The Time Series Modeling Companion to 'healthyR' (Version 0.3.1)	2021
imputeR: A General Multivariate Imputation Framework (Version 2.2)	2014
invacost: Analyse Biological Invasion Costs with the 'InvaCost' Database (Version 1.1-6)	2020
joinet: Penalised Multivariate Regression ('Multi-Target Learning') (Version 1.0.0)	2019
mda: Mixture and Flexible Discriminant Analysis (Version 0.5-5)	1998
mlr: Machine Learning in R (Version 2.19.2)	2013
mlrMBO: Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions (Version 1.1.5.1)	2017
modeltime.ensemble: Ensemble Algorithms for Time Series Forecasting with Modeltime (Version 1.0.4)	2020
modeltime: The Tidymodels Extension for Time Series Modeling (Version 1.3.1)	2020
moderate.mediation: Causal Moderated Mediation Analysis (Version 0.0.10)	2023
nlnet: Nonlinear Network, Clustering, and Variable Selection Based on DCOL (Version 1.4)	2015
parsnip: A Common API to Modeling and Analysis Functions (Version 1.2.1)	2018
pdp: Partial Dependence Plots (Version 0.8.2)	2016
pheble: Classifying High-Dimensional Phenotypes with Ensemble Learning (Version 0.1.0)	2023
plotmo: Plot a Model's Residuals, Response, and Partial Dependence Plots (Version 3.6.4)	2011
pre: Prediction Rule Ensembles (Version 1.0.7)	2016
prediction: Tidy, Type-Safe 'prediction()' Methods (Version 0.3.18)	2016
qvirus: Quantum Computing for Analyzing CD4 Lymphocytes and Antiretroviral Therapy (Version 0.0.3)	2024
r2pmml: Convert R Models to PMML (Version 0.28.0)	2019
rbooster: AdaBoost Framework for Any Classifier (Version 1.1.0)	2021
rpart.plot: Plot 'rpart' Models: An Enhanced Version of 'plot.rpart' (Version 3.1.2)	2011
spatialEco: Spatial Analysis and Modelling Utilities (Version 2.0-2)	2015
subsemble: An Ensemble Method for Combining Subset-Specific Algorithm Fits (Version 0.1.0)	2014
superMICE: SuperLearner Method for MICE (Version 1.1.1)	2022
tehtuner: Fit and Tune Models to Detect Treatment Effect Heterogeneity (Version 0.3.0)	2022
tidypredict: Run Predictions Inside the Database (Version 0.5)	2018
tidysdm: Species Distribution Models with Tidymodels (Version 0.9.5)	2023
tsensembler: Dynamic Ensembles for Time Series Forecasting (Version 0.1.0)	2017
vip: Variable Importance Plots (Version 0.4.1)	2018
viraldomain: Applicability Domain Methods of Viral Load and CD4 Lymphocytes (Version 0.0.6)	2023
viralmodels: Viral Load and CD4 Lymphocytes Regression Models (Version 1.3.1)	2023
viralx: Explainers for Regression Models in HIV Research (Version 1.3.0)	2023
voi: Expected Value of Information (Version 1.0.3)	2023

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.