BBmisc: Miscellaneous Helper Functions for B. Bischl

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

Bernd Bischl • Michel Lang • Jakob Bossek • Daniel Horn • Jakob Richter • Dirk Surmann • View description and downloads View dependencies GitHub project

2012 Published

1.13 Version

0 Citations

6 Authors

Referenced by ⇅	Year
mosmafs: Multi-Objective Simultaneous Model and Feature Selection (Version 0.1.2-1)	2020
netgen: Network Generator for Combinatorial Graph Problems (Version 1.3.2)	2015
SwarmSVM: Ensemble Learning Algorithms Based on Support Vector Machines (Version 0.1-7)	2015
BatchExperiments: Statistical Experiments on Batch Computing Clusters (Version 1.4.3)	2012
BatchJobs: Batch Computing with R (Version 1.9)	2012
BlockCov: Estimation of Large Block Covariance Matrices (Version 0.1.1)	2018
DynNom: Visualising Statistical Models using Dynamic Nomograms (Version 5.1)	2014
E4tools: Management and Processing Tools for Data Produced by the Empatica E4 (Version 0.1.1)	2019
EFAfactors: Determining the Number of Factors in Exploratory Factor Analysis (Version 1.1.1)	2024
EstimationTools: Maximum Likelihood Estimation for Probability Functions from Data Sets (Version 4.0.0)	2019
OpenML: Open Machine Learning and Open Data Platform (Version 1.12)	2016
PLreg: Power Logit Regression for Modeling Bounded Data (Version 0.4.1)	2022
ParamHelpers: Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning (Version 1.14.1)	2012
RBPcurve: The Residual-Based Predictiveness Curve (Version 1.2)	2015
RelDists: Estimation for some Reliability Distributions (Version 1.0.0)	2022
RivRetrieve: Retrieve Global River Gauge Data (Version 0.1.5)	2023
SHAPforxgboost: SHAP Plots for 'XGBoost' (Version 0.1.3)	2019
aslib: Interface to the Algorithm Selection Benchmark Library (Version 0.1.2)	2016
autostats: Auto Stats (Version 0.4.1)	2021
cmaesr: Covariance Matrix Adaptation Evolution Strategy (Version 1.0.3)	2016
delayed: A Framework for Parallelizing Dependent Tasks (Version 0.5.0)	2020
disprose: Discriminating Probes Selection (Version 0.1.6)	2021
ecr: Evolutionary Computation in R (Version 2.1.1)	2016
fail: File Abstraction Interface Layer (FAIL) (Version 1.3)	2012
farff: A Faster 'ARFF' File Reader and Writer (Version 1.1.1)	2016
flacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems (Version 1.8)	2015
grapherator: A Modular Multi-Step Graph Generator (Version 1.0.0)	2017
ig.degree.betweenness: "Smith-Pittman Community Detection Algorithm for 'igraph' Objects (2024)" (Version 0.1.0)	2024
latentFactoR: Data Simulation Based on Latent Factors (Version 0.0.6)	2022
llama: Leveraging Learning to Automatically Manage Algorithms (Version 0.10.1)	2013
mbsts: Multivariate Bayesian Structural Time Series (Version 3.0)	2020
mcMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem (Version 1.1.1)	2017
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
nandb: Number and Brightness Image Analysis (Version 2.1.0)	2017
parallelMap: Unified Interface to Parallelization Back-Ends (Version 1.5.1)	2013
robustbetareg: Robust Beta Regression (Version 0.3.0)	2022
smoof: Single and Multi-Objective Optimization Test Functions (Version 1.6.0.3)	2015
tspmeta: Instance Feature Calculation and Evolutionary Instance Generation for the Traveling Salesman Problem (Version 1.2)	2013
tuneRanger: Tune Random Forest of the 'ranger' Package (Version 0.7)	2018
validata: Validate Data Frames (Version 0.1.0)	2021
wrMisc: Analyze Experimental High-Throughput (Omics) Data (Version 1.15.2)	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.