R Package Scholar
27,074
Referenced by ⇅ Year
DriveML: Self-Drive Machine Learning Projects (Version 0.1.5)

2020
mosmafs: Multi-Objective Simultaneous Model and Feature Selection (Version 0.1.2-1)

2020
CEGO: Combinatorial Efficient Global Optimization (Version 2.4.3)

2015
ChemoSpec2D: Exploratory Chemometrics for 2D Spectroscopy (Version 0.5.0)

2018
EFAfactors: Determining the Number of Factors in Exploratory Factor Analysis (Version 1.1.0)

2024
OpenML: Open Machine Learning and Open Data Platform (Version 1.12)

2016
aslib: Interface to the Algorithm Selection Benchmark Library (Version 0.1.2)

2016
bnclassify: Learning Discrete Bayesian Network Classifiers from Data (Version 0.4.8)

2015
cmaesr: Covariance Matrix Adaptation Evolution Strategy (Version 1.0.3)

2016
dynparam: Creating Meta-Information for Parameters (Version 1.0.2)

2019
ecr: Evolutionary Computation in R (Version 2.1.1)

2016
flacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems (Version 1.8)

2015
glmnetr: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models (Version 0.5-4)

2022
irace: Iterated Racing for Automatic Algorithm Configuration (Version 3.5)

2012
llama: Leveraging Learning to Automatically Manage Algorithms (Version 0.10.1)

2013
mlr: Machine Learning in R (Version 2.19.2)

2013
mlrCPO: Composable Preprocessing Operators and Pipelines for Machine Learning (Version 0.3.7-7)

2018
mlrMBO: Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions (Version 1.1.5.1)

2017
mlrintermbo: Model-Based Optimization for 'mlr3' Through 'mlrMBO' (Version 0.5.1-1)

2021
roseRF: ROSE Random Forests for Robust Semiparametric Efficient Estimation (Version 0.1.0)

2024
smoof: Single and Multi-Objective Optimization Test Functions (Version 1.6.0.3)

2015
tramnet: Penalized Transformation Models (Version 0.0-8)

2020
tuneRanger: Tune Random Forest of the 'ranger' Package (Version 0.7)

2018
varycoef: Modeling Spatially Varying Coefficients (Version 0.3.4)

2019

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.

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