Referenced by ⇅
Year
cfbfastR : Access College Football Play by Play Data (Version 1.9.0)
2021
DriveML : Self-Drive Machine Learning Projects (Version 0.1.5)
2020
healthcareai : Tools for Healthcare Machine Learning (Version 2.5.1)
2017
mistat : Data Sets, Functions and Examples from the Book: "Modern
Industrial Statistics" by Kenett, Zacks and Amberti (Version 2.0.4)
2013
modelplotr : Plots to Evaluate the Business Performance of Predictive Models (Version 1.1.0)
2019
SPOTMisc : Misc Extensions for the "SPOT" Package (Version 1.19.52)
2021
workboots : Generate Bootstrap Prediction Intervals from a "tidymodels"
Workflow (Version 0.2.0)
2022
concrete : Continuous-Time Competing Risks Estimation using Targeted
Minimum Loss-Based Estimation (TMLE) (Version 1.0.5)
2023
FastRet : Retention Time Prediction in Liquid Chromatography (Version 1.1.3)
2024
MantaID : A Machine-Learning Based Tool to Automate the Identification of Biological Database IDs (Version 1.0.4)
2022
embed : Extra Recipes for Encoding Predictors (Version 1.1.4)
2018
BAGofT : A Binary Regression Adaptive Goodness-of-Fit Test (BAGofT) (Version 1.0.0)
2019
BioPred : An R Package for Biomarkers Analysis in Precision Medicine (Version 1.0.1)
2024
Boruta : Wrapper Algorithm for All Relevant Feature Selection (Version 8.0.0)
2009
CRE : Interpretable Discovery and Inference of Heterogeneous Treatment Effects (Version 0.2.7)
2022
CausalGPS : Matching on Generalized Propensity Scores with Continuous Exposures (Version 0.5.0)
2021
DALEXtra : Extension for 'DALEX' Package (Version 2.3.0)
2019
DICEM : Directness and Intensity of Conflict Expression (Version 0.1.0)
2024
DSAM : Data Splitting Algorithms for Model Developments (Version 1.0.2)
2023
DSWE : Data Science for Wind Energy (Version 1.8.2)
2021
DeepLearningCausal : Causal Inference with Super Learner and Deep Neural Networks (Version 0.0.104)
2024
EFAfactors : Determining the Number of Factors in Exploratory Factor Analysis (Version 1.1.0)
2024
EIX : Explain Interactions in 'XGBoost' (Version 1.2.0)
2019
FLAME : Interpretable Matching for Causal Inference (Version 2.1.1)
2018
FeatureHashing : Creates a Model Matrix via Feature Hashing with a Formula Interface (Version 0.9.2)
2014
GPCERF : Gaussian Processes for Estimating Causal Exposure Response Curves (Version 0.2.4)
2022
GeneralisedCovarianceMeasure : Test for Conditional Independence Based on the Generalized Covariance Measure (GCM) (Version 0.2.0)
2019
GenericML : Generic Machine Learning Inference (Version 0.2.2)
2021
ImHD : Artificial Intelligence Based Machine Learning Algorithms for Height Diameter Relationships of Conifer Trees (Version 0.1.0)
2023
LTFHPlus : Implementation of LT-FH++ (Version 2.1.1)
2024
MBMethPred : Medulloblastoma Subgroups Prediction (Version 0.1.4.2)
2022
MSclassifR : Automated Classification of Mass Spectra (Version 0.3.3)
2022
MachineShop : Machine Learning Models and Tools (Version 3.8.0)
2018
ParBayesianOptimization : Parallel Bayesian Optimization of Hyperparameters (Version 1.2.6)
2018
PheCAP : High-Throughput Phenotyping with EHR using a Common Automated Pipeline (Version 1.2.1)
2020
PoweREST : A Bootstrap-Based Power Estimation Tool for Spatial Transcriptomics (Version 0.1.0)
2024
PriceIndices : Calculating Bilateral and Multilateral Price Indexes (Version 0.2.2)
2021
SELF : A Structural Equation Embedded Likelihood Framework for Causal Discovery (Version 0.1.1)
2017
SEMdeep : Structural Equation Modeling with Deep Neural Network and Machine Learning (Version 0.1.0)
2024
SHAPforxgboost : SHAP Plots for 'XGBoost' (Version 0.1.3)
2019
SuperLearner : Super Learner Prediction (Version 2.0-29)
2011
TSCI : Tools for Causal Inference with Possibly Invalid Instrumental Variables (Version 3.0.4)
2022
adapt4pv : Adaptive Approaches for Signal Detection in Pharmacovigilance (Version 0.2-3)
2020
alookr : Model Classifier for Binary Classification (Version 0.3.9)
2020
audrex : Automatic Dynamic Regression using Extreme Gradient Boosting (Version 2.0.1)
2021
autoBagging : Learning to Rank Bagging Workflows with Metalearning (Version 0.1.0)
2017
autostats : Auto Stats (Version 0.4.1)
2021
bigsnpr : Analysis of Massive SNP Arrays (Version 1.12.15)
2017
biomod2 : Ensemble Platform for Species Distribution Modeling (Version 4.2-5-2)
2012
breakDown : Model Agnostic Explainers for Individual Predictions (Version 0.2.2)
2018
bundle : Serialize Model Objects with a Consistent Interface (Version 0.1.1)
2022
butcher : Model Butcher (Version 0.3.4)
2019
causalweight : Estimation Methods for Causal Inference Based on Inverse Probability Weighting (Version 1.1.1)
2018
coefplot : Plots Coefficients from Fitted Models (Version 1.2.8)
2011
cornet : Penalised Regression for Dichotomised Outcomes (Version 1.0.0)
2019
cpfa : Classification with Parallel Factor Analysis (Version 1.1-5)
2022
creditmodel : Toolkit for Credit Modeling, Analysis and Visualization (Version 1.3.1)
2019
csmpv : Biomarker Confirmation, Selection, Modelling, Prediction, and Validation (Version 1.0.3)
2024
cuda.ml : R Interface for the RAPIDS cuML Suite of Libraries (Version 0.3.2)
2021
dblr : Discrete Boosting Logistic Regression (Version 0.1.0)
2017
ddml : Double/Debiased Machine Learning (Version 0.3.0)
2023
drape : Doubly Robust Average Partial Effects (Version 0.0.1)
2023
easyalluvial : Generate Alluvial Plots with a Single Line of Code (Version 0.3.2)
2018
explore : Simplifies Exploratory Data Analysis (Version 1.3.2)
2019
familiar : End-to-End Automated Machine Learning and Model Evaluation (Version 1.5.0)
2022
fastrmodels : Models for the 'nflfastR' Package (Version 1.0.2)
2021
fastshap : Fast Approximate Shapley Values (Version 0.1.1)
2019
fdm2id : Data Mining and R Programming for Beginners (Version 0.9.9)
2019
flevr : Flexible, Ensemble-Based Variable Selection with Potentially Missing Data (Version 0.0.4)
2023
flowml : A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data (Version 0.1.3)
2023
forecastML : Time Series Forecasting with Machine Learning Methods (Version 0.9.0)
2019
glmnetr : Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models (Version 0.5-4)
2022
iimi : Identifying Infection with Machine Intelligence (Version 1.1.1)
2024
inTrees : Interpret Tree Ensembles (Version 1.4)
2014
irboost : Iteratively Reweighted Boosting for Robust Analysis (Version 0.1-1.5)
2022
latentFactoR : Data Simulation Based on Latent Factors (Version 0.0.6)
2022
lime : Local Interpretable Model-Agnostic Explanations (Version 0.5.3)
2017
marginaleffects : Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests (Version 0.23.0)
2021
mcboost : Multi-Calibration Boosting (Version 0.4.3)
2021
miesmuschel : Mixed Integer Evolution Strategies (Version 0.0.4-2)
2022
mikropml : User-Friendly R Package for Supervised Machine Learning Pipelines (Version 1.6.1)
2020
mixgb : Multiple Imputation Through 'XGBoost' (Version 1.0.2)
2022
mlflow : Interface to 'MLflow' (Version 2.16.2)
2018
mllrnrs : R6-Based ML Learners for 'mlexperiments' (Version 0.0.4)
2023
mlr3benchmark : Analysis and Visualisation of Benchmark Experiments (Version 0.1.6)
2020
mlr : Machine Learning in R (Version 2.19.2)
2013
mlr3hyperband : Hyperband for 'mlr3' (Version 0.6.0)
2020
mlr3learners : Recommended Learners for 'mlr3' (Version 0.8.0)
2019
mlr3shiny : Machine Learning in 'shiny' with 'mlr3' (Version 0.3.0)
2020
mlr3tuning : Hyperparameter Optimization for 'mlr3' (Version 1.0.2)
2019
mlr3tuningspaces : Search Spaces for 'mlr3' (Version 0.5.1)
2021
mlr3viz : Visualizations for 'mlr3' (Version 0.9.0)
2020
mlsurvlrnrs : R6-Based ML Survival Learners for 'mlexperiments' (Version 0.0.4)
2023
modelStudio : Interactive Studio for Explanatory Model Analysis (Version 3.1.2)
2019
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
nfl4th : Functions to Calculate Optimal Fourth Down Decisions in the National Football League (Version 1.0.4)
2021
nflfastR : Functions to Efficiently Access NFL Play by Play Data (Version 4.6.1)
2020
nlpred : Estimators of Non-Linear Cross-Validated Risks Optimized for Small Samples (Version 1.0.1)
2019
nsga3 : An Implementation of Non-Dominated Sorting Genetic Algorithm III for Feature Selection (Version 0.0.3)
2019
offsetreg : An Extension of 'Tidymodels' Supporting Offset Terms (Version 1.1.0)
2024
oncrawlR : Machine Learning for S.E.O (Version 0.2.0)
2019
parsnip : A Common API to Modeling and Analysis Functions (Version 1.2.1)
2018
pdp : Partial Dependence Plots (Version 0.8.1)
2016
personalized : Estimation and Validation Methods for Subgroup Identification and Personalized Medicine (Version 0.2.7)
2017
pmml : Generate PMML for Various Models (Version 2.5.2)
2007
polle : Policy Learning (Version 1.5)
2022
predhy.GUI : Genomic Prediction of Hybrid Performance with Graphical User Interface (Version 2.0.1)
2023
predhy : Genomic Prediction of Hybrid Performance (Version 2.1.1)
2019
predictoR : Predictive Data Analysis System (Version 3.0.10)
2019
promor : Proteomics Data Analysis and Modeling Tools (Version 0.2.1)
2022
qeML : Quick and Easy Machine Learning Tools (Version 1.1)
2023
r2pmml : Convert R Models to PMML (Version 0.28.0)
2019
rBayesianOptimization : Bayesian Optimization of Hyperparameters (Version 1.2.1)
2016
radiant.model : Model Menu for Radiant: Business Analytics using R and Shiny (Version 1.6.7)
2016
rattle : Graphical User Interface for Data Science in R (Version 5.5.1)
2013
rminer : Data Mining Classification and Regression Methods (Version 1.4.7)
2011
roseRF : ROSE Random Forests for Robust Semiparametric Efficient Estimation (Version 0.1.0)
2024
sense : Automatic Stacked Ensemble for Regression Tasks (Version 1.1.0)
2021
sentiment.ai : Simple Sentiment Analysis Using Deep Learning (Version 0.1.1)
2022
shapr : Prediction Explanation with Dependence-Aware Shapley Values (Version 0.2.2)
2020
shapviz : SHAP Visualizations (Version 0.9.6)
2022
simPop : Simulation of Complex Synthetic Data Information (Version 2.1.3)
2014
sits : Satellite Image Time Series Analysis for Earth Observation Data Cubes (Version 1.5.1)
2022
stackgbm : Stacked Gradient Boosting Machines (Version 0.1.0)
2024
superMICE : SuperLearner Method for MICE (Version 1.1.1)
2022
superml : Build Machine Learning Models Like Using Python's Scikit-Learn Library in R (Version 0.5.7)
2018
survex : Explainable Machine Learning in Survival Analysis (Version 1.2.0)
2022
surveyvoi : Survey Value of Information (Version 1.0.6)
2021
targeted : Targeted Inference (Version 0.5)
2020
tidybins : Make Tidy Bins (Version 0.1.1)
2021
tidypredict : Run Predictions Inside the Database (Version 0.5)
2018
tidysdm : Species Distribution Models with Tidymodels (Version 0.9.5)
2023
traineR : Predictive (Classification and Regression) Models Homologator (Version 2.2.0)
2019
treeshap : Compute SHAP Values for Your Tree-Based Models Using the 'TreeSHAP' Algorithm (Version 0.3.1)
2023
tsensembler : Dynamic Ensembles for Time Series Forecasting (Version 0.1.0)
2017
tune : Tidy Tuning Tools (Version 1.2.1)
2020
twang : Toolkit for Weighting and Analysis of Nonequivalent Groups (Version 2.6.1)
2006
twangRDC : Gradient Boosting for Linkage Failure in FSRDCs (Version 1.0)
2021
twangMediation : Twang Causal Mediation Modeling via Weighting (Version 1.2)
2021
utiml : Utilities for Multi-Label Learning (Version 0.1.7)
2016
vetiver : Version, Share, Deploy, and Monitor Models (Version 0.2.5)
2021
vimp : Perform Inference on Algorithm-Agnostic Variable Importance (Version 2.3.3)
2018
vip : Variable Importance Plots (Version 0.4.1)
2018
visaOTR : Valid Improved Sparsity A-Learning for Optimal Treatment Decision (Version 0.1.0)
2022
vivid : Variable Importance and Variable Interaction Displays (Version 0.2.9)
2021
wactor : Word Factor Vectors (Version 0.0.1)
2019
weightedGCM : Weighted Generalised Covariance Measure Conditional Independence Test (Version 0.1.0)
2021
xgb2sql : Convert Trained 'XGBoost' Model to SQL Query (Version 0.1.2)
2019
xrf : eXtreme RuleFit (Version 0.2.2)
2019
Showing 1-150 of 150
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